Big ideas in sports analytics and statistical tools for their investigation
Open accessAbstract
Abstract Sports analytics—broadly defined as the pursuit of improvement in athletic performance through the analysis of data—has expanded its footprint both in the professional sports industry and in academia over the past 30 years. In this article, we connect four big ideas that are common across multiple sports: the expected value of a game state, win probability, measures of team strength, and the use of sports betting market data. For each, we explore both the shared similarities and individual idiosyncracies of analytical approaches in each sport. While our focus is on the concepts underlying each type of analysis, any implementation necessarily involves statistical methodologies, computational tools, and data sources. Where appropriate, we outline how data, models, tools, and knowledge of the sport combine to generate actionable insights. We also describe opportunities to share analytical work, but omit an in‐depth discussion of individual player evaluation as beyond our scope. This article should serve as a useful overview for anyone becoming interested in the study of sports analytics. This article is categorized under: Applications of Computational Statistics > Education in Computational Statistics
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Claims the paper makes
7 of 71 cited sources checked · 5 supported · 0 flagged · accuracy not yet measured
- Premisecitation
Yam and Lopez (2019) estimate that a better 4th down strategy would be worth about 0.4 wins per season on average.
“In addition, they estimate that a better strategy would be worth about 0.4 wins per season on average, a substantial amount comparable to the effect size reported by Pelechrinis et al. (2019) above.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Yam and Lopez (2019) source
- Premisecitation
Yurko et al. (2020) use tracking data to model the expected yards gained for a ball-carrier during the course of a play.
“For example, Yurko et al. (2020) use tracking data provided by the 2019 NFL Big Data Bowl (see Section 7) to model the expected yards gained for a ball-carrier during the course of a play.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Yurko et al. (2020) source
- Premisecitation
The two win probability frameworks proposed by Lock and Nettleton (2014) and Yurko et al. (2019) were also implemented in Yam and Lopez (2019) with minimal modifications.
“The two win probability frameworks proposed by Lock and Nettleton (2014) and Yurko et al. (2019) were also implemented in Yam and Lopez (2019) with minimal modifications.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Yam and Lopez (2019) source
Section 3.4 (Outcome) says Yam and Lopez replicated Lock and Nettleton’s random-forest model, and Appendix A.1 says their only deviation was how they trained it. But section 3.4 identifies the second model as a generalized additive model adapted from Horowitz (2016), not Yurko et al. (2019). (LLM, conf=0.92)
Experimental — accuracy not yet measured
- Premisecitation
Yurko et al. (2019) estimate win probability in the NFL using a generalized additive model (GAM), as part of the nflscrapR package and nflWAR framework.
“In addition, Yurko et al. (2019) estimate win probability in the NFL using a generalized additive model (GAM), as part of the nflscrapR package (Horowitz et al., 2020) and nflWAR framework.”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites Yurko et al. (2019) source
- cites Horowitz et al., 2020
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
The winning entry in the 2014 Kaggle March Machine Learning Mania competition was based on a fairly simple logistic regression model trained on betting market data.
“Among the published papers, we learned that the winning entry was based on a fairly simple logistic regression model trained on betting market data (Lopez & Matthews, 2015).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Lopez & Matthews, 2015 source
Section 3 (Model selection) says the winning submission used a logistic regression model whose only covariate was the betting point spread. But it also says the submission combined that model with a separate efficiency-based model; the top submission, S2, weighted the efficiency model more heavily. Describing the winning entry as a single model trained on betting market data omits that substantial component. (LLM, conf=0.90)
Experimental — accuracy not yet measured
- Findingown data
The Vikings' win probability increased to 1 when Stefon Diggs scored a game-winning 61-yard receiving touchdown as the game clock expired.
“Their probability increased to a perfect 1 when Stefon Diggs scored a game-winning 61-yard receiving touchdown as the game clock expired.”
Quote in the paperNot a substantial claim - Findingown data
With 10 seconds remaining in the 2018 NFL Playoffs Divisional Round game, the Vikings had a 25.3% chance of winning.
“With 10 seconds remaining in the game, the Vikings begin the final possession with a 25.3% chance of winning.”
Quote in the paperNot a substantial claim - Findingown data
In the 2018 NFL Playoffs Divisional Round game between the New Orleans Saints and Minnesota Vikings on January 14, 2018, Minnesota had win probabilities of 0.869, 0.941, and 0.742 at the end of the first, second, and third quarters, respectively.
“Minnesota was leading throughout the first three quarters of the game, having win probabilities of 0.869, 0.941, and 0.742 at the end of the first, second, and third quarters, respectively.”
Quote in the paperNot a substantial claim - Findingown data
According to the fitted Bradley-Terry model, between 2014 and 2018 the five tennis players are ranked as follows: (1) Djokovic, (2) Federer, (3) Wawrinka, (4) Nadal, (5) Murray.
“According to the abilities, between 2014 and 2018 the players are ranked as follows: (1) Djokovic, (2) Federer, (3) Wawrinka, (4) Nadal, (5) Murray.”
Quote in the paperNot a substantial claim - Findingreasoning
The estimated probability of a Federer victory over Nadal from the fitted Bradley-Terry model is 0.768.
“To obtain win probabilities, as an illustration, for the Federer-Nadal matchup, an estimate for the probability of a Federer victory is: b Π 24 ¼ exp b β 2 À b β 4 1 þ exp b β 2 À b β 4 ¼ exp 1:136 þ 0:062 ð Þ 1 þ exp 1:136 þ 0:062 ð Þ ¼ 0:768:”
Quote in the paperNot a substantial claim - Findingown data
The optimal value of α in the expected winning percentage formula for Major League Baseball since 1954 is 1.84.
“Figure 3 illustrates the quality of the fit in Major League Baseball since 1954, where the optimal value of α is 1.84.”
Quote in the paperNot a substantial claim - Premisecitation
Kumagai et al. (2021) offer an EPV metric for ice hockey via a Bayesian spacetime framework.
“Kumagai et al. (2021) offer an EPV metric for ice hockey via a Bayesian spacetime framework.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Kumagai et al. (2021)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Carter and Machol (1971) estimate the expected points for 1st and 10 plays in the NFL, given any yard line on the football field.
“The task of estimating expected points of possession in football goes back to Carter and Machol (1971), who estimate the expected points for 1st and 10 plays in the NFL, given any yard line on the football field.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Carter and Machol (1971)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationnone given
A breakthrough in Cervone et al.'s work is that the EPV estimate is conditional on the locations of the other 9 players on the basketball court.
“A breakthrough in this work is that this estimate is conditional on the locations of the other 9 players on the basketball court.”
Quote in the paperSubstantial claim - Premisecitation
Pelechrinis et al. (2019) state that by failing to account for opponent strength appropriately, about 124.8 points per team each season (or about 3.8 wins per season) are not credited correctly.
“They state that by failing to account for opponent strength appropriately, about 124.8 points per team each season (or about 3.8 wins per season) are not credited correctly.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Pelechrinis et al. (2019)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
The values within the expected run matrix change over time.
“First, the values within the expected run matrix change over time.”
Quote in the paperNot a substantial claim - Interpretationreasoning
There are situations in which maximizing the number of expected points is not the desired strategy.
“However, there are situations in which maximizing the number of expected points is not the desired strategy.”
Quote in the paperSubstantial claim - Interpretationreasoning
One limitation of Carter and Machol's approach is the linearity assumption, which results in a high negative expected point value when the offensive team is 95 yards away from the opponent's goal line.
“One limitation of this approach is the linearity assumption, which results in a high negative expected point value when the offensive team is 95 yards away from the opponent's goal line.”
Quote in the paperNot a substantial claim - Premisecitation
Reyers and Swartz (2021) introduce a novel NFL quarterback evaluation metric that uses player tracking data to account for different passing and running options available to the quarterback.
“Expected point value is also the main component of a novel NFL quarterback evaluation metric introduced by Reyers and Swartz (2021).The authors take advantage of player tracking data to account for different passing and running options on the football field that are available to the quarterback.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Reyers and Swartz (2021)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
In that example, the defensive team is wise to pursue the strategy of maximizing the expected number of runs scored, because it minimizes the probability of scoring at least one run.
“In this case, the defensive team is wise to pursue the strategy of maximizing the expected number of runs scored, because it minimizes the probability of scoring at least one run.”
Quote in the paperNot a substantial claim - Premisecitation
The estimated expected points increases monotonically as the team gets closer to the endzone.
“As expected, the estimated expected points increases monotonically as the teams gets closer to the endzone.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Carter & Machol, 1971
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisenone given
There is near universal consensus in the literature that NFL teams have been too conservative in the past when making 4th down decisions.
“There is near universal consensus in the literature that NFL teams have been too conservative in the past when making 4th down decisions.”
Quote in the paperNot a substantial claim - Interpretationreasoning
It is not always the case that the strategy that maximizes the expected number of points will maximize the probability of winning.
“If we let U be the set of all strategies, then we assert that it is not always the case that the strategy u U that maximizes the expected number of points will maximize the probability of winning:”
Quote in the paperSubstantial claim - Premisecitation
Tango et al. (2007) show that when a particularly weak-hitting batter is up (i.e., the pitcher), a sacrifice bunt becomes a more effective strategy.
“Indeed, Tango et al. (2007) show that when a particularly weak-hitting batter is up (i.e., the pitcher), a sacrifice bunt becomes a more effective strategy.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Tango et al. (2007)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Lindsey (1963) used play-by-play data to compute an empirical estimate for the mean number of runs scored in the remainder of the inning for each of the 24 possible states of an inning.
“Early work on this topic can be found in Lindsey (1963), who used play-by-play data to compute an empirical estimate for the mean number of runs scored in the remainder of the inning for each of these 24 possible states of an inning.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Lindsey (1963) source
- Premisecitation
Stern (1994) provides an investigation of in-game win probability and the scoring process in basketball using a Brownian motion model.
“Stern (1994) provides an investigation of in-game win probability and the scoring process in basketball using a Brownian motion model.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Stern (1994)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
McFarlane (2019) uses logistic regression to estimate win probability for evaluating end-of-game decisions in the NBA.
“Moreover, McFarlane (2019) uses logistic regression to estimate win probability for evaluating end-of-game decisions in the NBA.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites McFarlane (2019)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Deshpande and Jensen (2016) propose a Bayesian linear regression model to assess the impact of individual players on their team's chance of winning at any given time of a basketball game.
“Deshpande and Jensen (2016) propose a Bayesian linear regression model to assess the impact of individual players on their team's chance of winning at any given time of a basketball game.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Deshpande and Jensen (2016)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Tango et al. (2007) present a mathematical model for estimating win probability in baseball using Markov chains that consider different states of the game such as base, inning, outs and score.
“Additionally, a mathematical model for estimating win probability in baseball is presented in Tango et al. (2007).The authors use Markov chains to look at win expectancy throughout the course of a baseball game.This approach considers different states of the game such as base, inning, outs and score, and outputs win probabilities accordingly.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Tango et al. (2007)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Lindsey (1961) calculates the expected win probability after each inning based on the distribution of runs scored in each inning.
“The notion of win probability in baseball goes back to at least as early as Lindsey (1961), who calculates the expected win probability after each inning based on the distribution of runs scored in each inning.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Lindsey (1961)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Skinner (2011) develops a general framework for desperation strategies, which include the onside kick in American football, pulling the infield and/or outfield in baseball, and the Hack-a-Shaq strategy in basketball.
“Skinner (2011) develops a general framework for these desperation strategies, which include the onside kick in American football, pulling the infield and/or outfield in baseball, and of course, the fabled Hack-a-Shaq strategy in basketball.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Skinner (2011)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
According to Lock and Nettleton's model, the difference in score between the two teams is the most important feature for predicting win probabilities at any given moment in an NFL game.
“According to this model, the difference in score between the two teams is the most important feature for predicting win probabilities at any given moment in an NFL game.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Lock and Nettleton (2014)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisenone given
Win probability is closely related to the expected value of a state.
“This win probability is closely related to the expected value of a state.”
Quote in the paperNot a substantial claim - Premisecitation
Lock and Nettleton (2014) implement a random forest framework to provide a win probability estimate before each play in a football game.
“Lock and Nettleton (2014) implement a random forest framework to provide a win probability estimate before each play in a football game.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Lock and Nettleton (2014)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Mills and Mills (1970) utilize win probability to introduce Player Win Average (PWA), a measure of a player's contribution to the game outcome.
“Inspired by Lindsey (1961)'s work, Mills and Mills (1970) utilize win probability to introduce Player Win Average (PWA), a measure of a player's contribution to the game outcome.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Mills and Mills (1970)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Maymin (2021) relies on logistic regression to build a well-calibrated in-game win probability model for each specific moment during a game of League of Legends.
“In esports, Maymin (2021) relies on logistic regression to build a well-calibrated in-game win probability model for each specific moment during a game of League of Legends.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Maymin (2021)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
Win-loss records are a noisy measure of team strength.
“The impetus for all methods for estimating team strength is the realization that win-loss records are a noisy measure of team strength.”
Quote in the paperSubstantial claim - Premisecitation
Miller (2007) derived the expected winning percentage formula as a consequence of assuming that runs (in baseball) are generated by two independent Weibull processes.
“Later, Miller (2007) derived the formula as a consequence of assuming that runs (in baseball) are generated by two independent Weibull processes.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Miller (2007)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Glickman and Stern (1998) propose a Bayesian state-space model for paired comparisons for predicting NFL games, allowing team strength parameters to vary over time.
“Glickman and Stern (1998) propose a Bayesian state-space model for paired comparisons for predicting NFL games, allowing team strength parameters to vary over time.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Glickman and Stern (1998) source
- Premisecitation
Guan et al. (2022) develop an in-game win probability model for the National Rugby League using functional data analysis.
“Moreover, Guan et al. (2022) develop an in-game win probability model for the National Rugby League using functional data analysis.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Guan et al. (2022)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationown data
The magnitude of the coefficients in the fitted Bradley-Terry model provide a measure of relative strength.
“In addition to an ordering, the magnitude of the coefficients in Table 3 provide a measure of relative strength.”
Quote in the paperNot a substantial claim - Premisecitation
Betting market data is probably the best source for estimating the true probability of a team winning a game.
“First, betting market data is probably the best source for estimating the true probability of a team winning a game.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Lopez et al., 2018 source
- Premisecitation
Koopman and Lit (2015) study English Premier League soccer match results by assuming a bivariate Poisson distribution with time-varying team abilities.
“In a similar Bayesian setting, Koopman and Lit (2015) study English Premier League soccer match results by assuming a bivariate Poisson distribution with time-varying team abilities.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Koopman and Lit (2015)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Kaplan and Garstka (2001) find that the simple strategy of picking the team with the better seed is generally, but not always, optimal in NCAA college basketball pools.
“Kaplan and Garstka (2001) consider a variety of NCAA college basketball pools, and find that the simple strategy of picking the team with the better seed is generally, but not always, optimal.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Kaplan and Garstka (2001)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Niemi et al. (2008) show an improved return on investment by picking an undervalued champion and then completing the rest of one's bracket by using published odds.
“Niemi et al. (2008) show an improved return on investment by picking an undervalued champion and then completing the rest of one's bracket by using published odds.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Niemi et al. (2008)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Boulier and Stekler (2003) found that the betting market is the best for predicting winners compared to power rankings and media experts.
“Boulier and Stekler (2003) compare the predictive performance of power rankings and media experts to the betting market for NFL games and found that the betting market is the best for predicting winners.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Boulier and Stekler (2003) source
- Premisecitation
Lopez et al. (2018) extend Glickman and Stern (1998)'s state-space model to understand randomness in the four major American sports leagues.
“More recently, Lopez et al. (2018) extend Glickman and Stern (1998)'s state-space model to understand randomness in the four major American sports leagues.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Lopez et al. (2018) source
- Interpretationreasoning
Data generated by sports gambling has been an important source of data useful for sports analytics.
“In this sense, data generated by sports gambling has been an important source of data useful for sports analytics (see Section 5.2).”
Quote in the paperSubstantial claim - Premisecitation
Both Glickman and Stern (1998) and Lopez et al. (2018) motivate the usefulness of model-based measures of team strength by demonstrating their superiority to low-resolution win-loss records.
“Both papers motivate the usefulness of model-based measures of team strength by demonstrating their superiority to low-resolution win-loss records.”
Quote in the paperNot a substantial claim0 of 2 sources checked - Premisecitation
Bergman and Imbrogno (2017) conclude that planning for only part of the season yields optimal results in terms of maximizing survival probability in NFL survivor pools.
“Bergman and Imbrogno (2017) present formal optimization approaches for NFL survivor pools and conclude that planning for only part of the season yields optimal results in terms of maximizing survival probability.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Bergman and Imbrogno (2017)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Premisecitation
Buttrey (2016) finds that their methods were able to produce a positive return on investment in the NHL betting market.
“They find that their methods were able to produce a positive return on investment.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Buttrey (2016) source
- Premisecitation
Koopman and Lit (2015)'s state-space approach appears to improve on bookmaker's odds.
“This state-space approach appears to improve on bookmaker's odds.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Koopman and Lit (2015)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Interpretationreasoning
Public research in sports analytics is driven in part by several notable competitions and conferences.
“Public research in sports analytics is driven in part by several notable competitions and conferences.”
Quote in the paperNot a substantial claim - Interpretationreasoning
The 2014 Kaggle March Machine Learning Mania competition resulted in peer-reviewed research that demonstrated the value of quality data over sophisticated modeling.
“Thus, the competition not only sparked interest in sports analytics, but also resulted in peer-reviewed research which, in that case, demonstrated the value of quality data over sophisticated modeling.”
Quote in the paperSubstantial claim
- Classified as probably not a substantial claim. 50
- May combine two claims. 26
- The quote only partly states this claim. 1
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationFernandez et al. (2021) implement deep learning methods to examine the instantaneous expected value of soccer possessions.
“Fernandez et al. (2021) implement deep learning methods to examine the instantaneous expected value of soccer possessions.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Fernandez et al. (2021) source
May combine two claims.
Premisenone givenYurko et al. (2019)'s win probability model is fully reproducible and uses publicly available data.
“A vital highlight of Yurko et al. (2019)'s win probability model is that it is fully reproducible and uses publicly available data.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Yurko et al. (2019) source
May combine two claims.
Findingown dataIn the example with runners on first and third, tied bottom ninth, no one out, the expected number of runs scored in the remainder of the inning is 1.94 and the probability of scoring zero runs is 0.13.
“Information derived from Table 1 reveals that the expected number of runs scored in the remainder of the inning is 1.94 runs, while the probability of scoring zero runs is 0.13.”
Quote in the paperSubstantial claim- Rests on an assumption: For a state with runners on first and third and no outs in a tied bottom ninth, the probability of scoring zero runs is 0.13.
Probably not a substantial claim: may not pass S3 (load-bearing).
FindingreasoningThe EPV model estimate of the probability of Chalmers making the three-point shot in the example is 42.5%.
“Chalmers' shot is worth 3 points, so the EPV of 1.276 points implies that the model estimate of the probability of Chalmers making this shot is 42.5%.”
Quote in the paperNot a substantial claimMay combine two claims.
FindingreasoningIn that example, by walking the hitter to load the bases, the defense reduces the chances of scoring to 82%, even though they raise the expected number of runs scored to 2.22.
“However, by walking the hitter to load the bases, they create the opportunity to force the lead runner at home and thus reduce the chances of scoring to 82%, even though they raise the expected number of runs scored to 2.22.”
Quote in the paperSubstantial claim- Rests on an assumption: For a state with bases loaded and no outs in a tied bottom ninth, the probability of scoring at least one run is 82%.
Probably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataIn the illustrative chess game, the author was rated 1732 and his opponent was rated 1683 prior to the game.
“Prior to the game, the author was rated 1732, whereas his opponent was rated 1683.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
FindingreasoningThe post-game Elo rating for the author in the illustrative chess game is 1740.
“The post-game Elo rating for the author is thus R Ã a ¼ 1732 þ 20 1 À 0:591 ð Þ¼1740:”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
FindingreasoningThe probability of the author defeating their opponent in the illustrative chess game was 0.591.
“The probability of the author (a) defeating their opponent (b) was Π ab ¼ 1 1 þ 20 1683À1732 ð Þ =400 ¼ 0:591:”
Quote in the paperNot a substantial claimMay combine two claims.
FindingreasoningThe sum of implied probabilities from moneylines is greater than one, which is why the sportsbook makes money regardless of who wins the championship.
“The sum of those probabilities is greater than one-this is why the sportsbook makes money regardless of who wins the championship.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims. The quote only partly states this claim.
Findingnone givenIn the FanDuel futures market on January 9, 2023, the Boston Celtics have a 16.3% chance of winning the 2023 NBA championship, and the Milwaukee Bucks have a 13.3% chance.
“In this case, the FanDuel futures market suggests that the Celtics have a 16.3% chance of winning the championship, while the Milwaukee Bucks have the second best chance, at 13.3%.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationIn American football, teams are going for it on fourth down far more often than in the past, a direct result of statistical analysis showing that most teams were previously overly conservative.
“In American football, teams are going for it on fourth down far more often than in the past, a direct result of statistical analysis showing that most teams were previously overly conservative (Lopez, 2020).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Lopez, 2020
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S4 (based). May combine two claims.
Premisenone givenFour big ideas are common across multiple sports: the expected value of a game state, win probability, measures of team strength, and the use of sports betting market data.
“In this article, we connect four big ideas that are common across multiple sports: the expected value of a game state, win probability, measures of team strength, and the use of sports betting market data.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSimilar insights are now being made in less obvious settings, including esports.
“Similar insights are now being made in less obvious settings, including esports (Clark et al., 2020;Maymin, 2021).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Clark et al., 2020
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Maymin, 2021
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenSports analytics has expanded its footprint both in the professional sports industry and in academia over the past 30 years.
“Sports analytics-broadly defined as the pursuit of improvement in athletic performance through the analysis of data-has expanded its footprint both in the professional sports industry and in academia over the past 30 years.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationIn baseball, teams are using defensive shifts to maximize the probability of recording an out, encouraging hitters to improve their launch angles, and optimizing pitcher repertoires to minimize contact.
“And, of course, in baseball, teams are using defensive shifts to maximize the probability of recording an out, encouraging hitters to improve their launch angles, and optimizing pitcher repertoires to minimize contact (Healey, 2017).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Healey, 2017
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisecitationIn basketball, analytics has driven a shift in conventional wisdom about shot selection, with most teams shooting more three-pointers, settling for fewer long two-point shots, deploying more versatile defenders, and relying less on pounding the ball into the paint.
“In basketball, analytics has driven a shift in the conventional wisdom about shot selection.Most teams are shooting more three-pointers, settling for fewer long two-point shots, deploying more versatile defenders, and relying less on the strategy of pounding the ball into the paint in an attempt to get a highpercentage shot (Schuhmann, 2021).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Schuhmann, 2021
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
InterpretationreasoningHigh-resolution tracking data allows researchers to produce advanced analyses of captured spatiotemporal information and better understand the game.
“This high-resolution data allows researchers to produce advanced analyses of the captured spatiotemporal information and better understand the game.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenThe strategy of maximizing expected points in basketball has led directly to the proliferation of three-point shooting in the NBA.
“The strategy of maximizing expected points in basketball has led directly to the proliferation of three-point shooting in the NBA.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based). May combine two claims.
Premisenone givenGenerally, the goal of any sport is to score more points than the other team, which most often means trying to score as many points as possible, leading to a general strategy of maximizing expected points.
“Generally, the goal of any sport is to score more points than the other team, which most often means trying to score as many points as possible, leading to a general strategy of maximizing expected points.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationcitationMaximizing the probability of scoring is optimal in any sudden-death situation, which has (but currently does not) included overtime in American football.
“Maximizing the probability of scoring is optimal in any sudden-death situation, which has (but currently does not) included overtime in American football (Martin et al., 2018).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Martin et al., 2018
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationCarroll et al. (1988) determine that every extra 25 yards is associated with 2 more points scored on average for a football team.
“They determine that every extra 25 yards is associated with 2 more points scored on average for a football team.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Carroll et al. (1988)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone givenBaseball and cricket differ in strategies such as batting order or sacrifice plays.
“For example, despite belonging to the same bat-and-ball family, baseball and cricket differ in strategies such as batting order or sacrifice plays.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationTango et al. (2007) conclude that the sacrifice bunt is rarely worth it, because most teams would be expected to score more runs with a runner on first and no outs than they would with a runner on second and one out.
“Tango et al. (2007) (and many subsequent analyses) conclude that the sacrifice bunt is rarely worth it, because most teams would be expected to score more runs with a runner on first and no outs than they would with a runner on second and one out.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Tango et al. (2007)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
InterpretationreasoningIn the bottom of the ninth inning of a tied baseball game, the optimal strategy for winning the game is maximizing the probability of scoring at least one run, which may differ from the strategy of maximizing expected runs.
“For example, in the bottom of the ninth inning of a tied baseball game, the optimal strategy for winning the game is maximizing the probability of scoring at least one run, which may differ from the strategy of maximizing expected runs.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationCervone et al. (2014, 2016) introduce expected possession value (EPV) as a continuous-time estimate of the expected number of points for the offensive team on a given possession using player and ball locations.
“In basketball, Cervone et al. (2014) and Cervone et al. (2016) introduce expected possession value (EPV) as a means toward an assessment of a player's on-court performance.This metric is a continuous-time estimate of the expected number of points for the offensive team on a given possession using player and ball locations.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Cervone et al. (2014)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Cervone et al. (2016) source
Checked before — its earlier verdict is held back until a new check runs.
May combine two claims.
PremisecitationBeaudoin and Swartz (2010) show that NHL coaches do not always employ the optimal strategies, usually by waiting too long to pull their goalies.
“Beaudoin and Swartz (2010) show that NHL coaches do not always employ the optimal strategies, usually by waiting too long to pull their goalies.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Beaudoin and Swartz (2010)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Classified as probably not a substantial claim.
PremisecitationRomer (2006) concluded that teams do not go for it enough if teams are trying to maximize their probability of winning the game.
“They concluded that teams do not go for it enough if teams are trying to maximize their probability of winning the game.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Romer (2006) source
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone givenThe expected run matrix is foundational in baseball analytics.
“The collection of estimates Xjs ½ for all 24 states is called the expected run matrix, 2 and it is foundational in baseball analytics.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Premisenone givenOver the past decade or so, professional sports leagues have collected tracking data which record the locations of all players and the ball (or puck) throughout a game.
“Over the past decade or so, professional sports leagues have collected tracking data which record the locations of all players and the ball (or puck) throughout a game.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
PremisecitationLopez (2020) concludes that coaches are too conservative on 4th down decision making, but notes further that past estimates of the magnitude of how conservative coaches are on 4th down may be overstated due to the way in which to go yardage was recorded only approximately in the past.
“Lopez (2020) also concludes that coaches are too conservative on 4th down decision making, but notes further that past estimates of the magnitude of how conservative coaches are on 4th down may be overstated due to the way in which to go yardage was recorded only approximately in the past.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Lopez (2020)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAlamar (2010) determines that teams are under-utilizing passing plays in some situations.
“Based on play-by-play data from 2005 through 2008, they determine that teams are under-utilizing passing plays in some situations.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Alamar (2010)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationUrschel and Zhuang (2011) conclude that coaches in the NFL tend to make conservative decisions.
“Using data from the 2009 NFL season, they conclude, as many have, that coaches in the NFL tend to make conservative decisions.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Urschel and Zhuang (2011) source
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
InterpretationreasoningIn a low run-scoring environment where hits are hard to come by, stolen bases and sacrifice bunts may be comparatively more valuable.
“Conversely, in a low run-scoring environment where hits are hard to come by, stolen bases and sacrifice bunts may be comparatively more valuable.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationMacdonald (2012) uses expected goals to evaluate ice hockey players, but does not have access to player tracking data necessary to evaluate possessions.
“Macdonald (2012) uses expected goals to evaluate ice hockey players, but does not have access to player tracking data necessary to evaluate possessions.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Macdonald (2012)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationDeshpande and Jensen (2016) extend Stern (1994)'s framework by applying it in a Bayesian setting.
“On a related note, Deshpande and Jensen (2016) extend Stern (1994)'s framework by applying it in a Bayesian setting.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Deshpande and Jensen (2016)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationYurko et al. (2019)'s work inspired nflfastR (Carl & Baldwin, 2022), now considered the successor to nflscrapR.
“One of Yurko et al. (2019)'s goals was also to encourage researchers to “use, explore, and improve upon our work,” which ultimately inspired nflfastR (Carl & Baldwin, 2022), now considered the successor to nflscrapR.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Carl & Baldwin, 2022
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationBrenzel et al. (2019) use three-dimensional Markov models to estimate win probability throughout a curling match.
“Brenzel et al. (2019) use three-dimensional Markov models to estimate win probability throughout a curling match.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Brenzel et al. (2019)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe Bradley-Terry model is perhaps the most widely-used probability model for predicting the outcome of a paired comparison.
“Perhaps the most widely-used probability model for predicting the outcome of a paired comparison is the Bradley-Terry model (BTM) (Bradley & Terry, 1952).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Bradley & Terry, 1952 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe Elo rating system was originally developed for chess (Elo, 1978).
“Another widely known tool for measuring team strength is the Elo rating system (Elo, 1978), which was originally developed for chess.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Elo, 1978
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationExpected winning percentage (Pythagorean expectation) was developed by James (2003).
“A simple method for estimating team strength that has become popular in sports analytics is expected winning percentage-often called Pythagorean expectation-developed by James (2003).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites James (2003)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
InterpretationreasoningWins and losses carry some signal of team strength, but we can do better than win-loss records.
“As binary outcomes, and with all sports (except perhaps chess) involving some element of chance, wins and losses carry some signal of team strength, but we can do better.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe International Chess Federation (FIDE) uses K = 10 for players with any previously achieved rating of at least 2400.
“The International Chess Federation (FIDE) uses K ¼ 10 for players with any previously achieved rating of at least 2400.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites FIDE, 2022
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationFIDE gives K = 40 to new players with under 30 games played, and players under the age of 18 with rating less than 2300.
“Finally, K ¼ 40 is given to new players with under 30 games played, and players under the age of 18 with rating less than 2300 (FIDE, 2022).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites FIDE, 2022
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone givenSome researchers have tried to demonstrate a positive return on betting strategies, with very limited success.
“Some researchers have then tried to demonstrate a positive return on some of these betting strategies, with very limited success.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationGandar et al. (1988) concludes that statistical tests fail to reject the hypothesis of rationality of NFL betting markets.
“Early work by Gandar et al. (1988) examines the rationality of NFL betting markets and concludes that statistical tests fail to reject the hypothesis of rationality.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Gandar et al. (1988) source
Probably not a substantial claim: may not pass S4 (based).
Premisenone givenThe efficiency of betting market data in estimating true probabilities has been demonstrated time and time again.
“The efficiency of betting market data in this respect has been demonstrated time and time again.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe teamcolors R package provides color palettes and logos for men's and women's professional and collegiate sports teams, as well as color and fill scale functions compatible with ggplot2.
“The teamcolors R package (Baumer & Matthews, 2020) provides color palettes and logos for men's and women's professional and collegiate sports teams, as well as color and fill scale functions compatible with ggplot2 (Wickham et al., 2022).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites Baumer & Matthews, 2020
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- cites Wickham et al., 2022
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisecitationNormalized implied probabilities are accurate, unbiased, and efficient estimates of the true unknowable probabilities.
“Many different researchers have shown that these normalized implied probabilities are accurate, unbiased, and efficient estimates of the true unknowable probabilities (see Lopez et al., 2018 for discussion and an extensive list of references).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Lopez et al., 2018 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationMetrick (1996) finds that bettors overback the heaviest favorites.
“Metrick (1996) finds that bettors overback the heaviest favorites.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Metrick (1996)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningThe use of team colors to identify lines makes it possible to follow the trajectory of most teams over the course of the season in Figure 5.
“However, the use of team colors to identify the lines makes it possible to follow the trajectory of most teams over the course of the season.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationSoebbing and Humphreys (2013) find evidence that sports bettors think tanking in the NBA is occurring, although the evidence for whether it actually is remains mixed.
“Soebbing and Humphreys (2013) find evidence that sports bettors think tanking in the NBA is occurring, although the evidence for whether it actually is remains mixed.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Soebbing and Humphreys (2013)
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe sportyR package contains generic playing surfaces for baseball, basketball, curling, American football, ice hockey, soccer, and tennis that can be added to ggplot graphics with a single function call.
“Thankfully, the sportyR package (Drucker, 2022) contains generic playing surfaces for baseball, basketball, curling, American football, ice hockey, soccer, and tennis that can be added to ggplot graphics with a single function call.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Drucker, 2022
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
PremisecitationCatcher framing is a concept that scouts talked about for decades, but that could not be quantified by analysts until data of the appropriate resolution became available.
“Catcher framing is a notable example of a concept that scouts talked about for decades, but that could not be quantified by analysts until data of the appropriate resolution became available.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Deshpande & Wyner, 2017
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S2 (checkable), S4 (based).
Interpretationnone givenAs a maturing discipline, sports analytics has been able to address fundamental questions common to many sports.
“However, as a maturing discipline, sports analytics has been able to address fundamental questions common to many sports.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Interpretationnone givenPlay-by-play data allows us to make valuations between plays, while player tracking data allows us to make valuations within plays.
“While play-by-play data allows us to make valuations between plays, player tracking data allows us to make valuations within plays.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone givenOver time, the resolution of baseball data has improved to include play-by-play data, pitch-by-pitch data, and now player tracking data.
“Over time, the resolution of baseball data has improved to include play-by-play data, pitch-by-pitch data, and now player tracking data.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningThese R packages enable research by making data more easily available.
“Thus, these R packages enable research by making data more easily available.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationreasoningAs the granularity of baseball data has evolved over time, so too have the statistical methodologies for modeling that data, and the tools for working with it.
“As the granularity of baseball data has evolved over time, so too have the statistical methodologies for modeling that data, and the tools for working with it.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based). May combine two claims.
Interpretationnone givenThese venues have been an important source of new ideas and have contributed to the diversification of the field by breaking down barriers to entry.
“These venues have been an important source of new ideas and have contributed to the diversification of the field by breaking down barriers to entry.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
InterpretationreasoningThe dynamic of increased data resolution catalyzing new research directions is playing out in all sports.
“this same dynamic is playing out in all sports”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenIncreased resolution of available data has catalyzed new research directions in baseball.
“the increased resolution of available data has catalyzed new research directions in baseball”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningBecause R is scriptable, these packages make it easier to share research that is reproducible.
“Moreover, because R is scriptable, they make it easier to share research that is reproducible.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).
Interpretationnone givenAs an applied science, sports analytics may lack a grand unified theory that succinctly characterizes game play across all sports.
“As an applied science, sports analytics may lack a grand unified theory that succinctly characterizes game play across all sports.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
For a state with runners on first and third and no outs in a tied bottom ninth, the probability of scoring zero runs is 0.13.
“Information derived from Table 1 reveals that the expected number of runs scored in the remainder of the inning is 1.94 runs, while the probability of scoring zero runs is 0.13.”
The paper relies on this without support.
For a state with bases loaded and no outs in a tied bottom ninth, the probability of scoring at least one run is 82%.
“However, by walking the hitter to load the bases, they create the opportunity to force the lead runner at home and thus reduce the chances of scoring to 82%, even though they raise the expected number of runs scored to 2.22.”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Effects described as comparable differ nearly tenfold
MinorThe cited estimates are 0.4 and 3.8 wins per season. Calling their effect sizes comparable conflicts with the paper's own figures.
“a better strategy would be worth about 0.4 wins per season on average, a substantial amount comparable to the effect size reported by Pelechrinis et al. (2019) above.”
“about 124.8 points per team each season (or about 3.8 wins per season) are not credited correctly.”
Celtics' fractional odds include the returned stake
MinorA +390 moneyline pays $390 in winnings on a $100 stake, so the fractional odds are 3.9:1. The stated 4.9:1 is the total return relative to the stake, not the fractional odds.
Reported 4.9 · recomputed 3.9
“The corresponding fractional odds have the Celtics at 4.9:1 to win the championship.”
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Yurko, R., Ventura, S., & Horowitz, M. (2019) · Journal of Quantitative Analysis in Sports · doi:10.1515/jqas-2018-0010 · Cited by 7 · see citing works
Yurko, R., Matano, F., Richardson, L. F., Granered, N., Pospisil, T., Pelechrinis, K., & Ventura, S. L. (2020) · Journal of Quantitative Analysis in Sports · doi:10.1515/jqas-2019-0056 · Cited by 6 · see citing works
Rating of Team Abilities in Soccer
Koning, R. (2016) · doi:10.1201/9781315166070-18 · Cited by 6
Market Efficiency and Behavioral Biases in the WNBA Betting Market
Paul, R. J., & Weinbach, A. P. (2014) · International Journal of Financial Studies · doi:10.3390/ijfs2020193 · Cited by 5 · see citing works
Fernández, J., Bornn, L., & Cervone, D. (2021) · Machine Learning · doi:10.1007/s10994-021-05989-6 · Cited by 5 · see citing works
Beating the market betting on NHL hockey games
Buttrey, S. E. (2016) · Journal of Quantitative Analysis in Sports · doi:10.1515/jqas-2015-0003 · Cited by 4 · see citing works
An analysis of curling using a three-dimensional Markov model
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Player Win Averages: A Complete Guide to Winning Baseball Players
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Expected hypothetical completion probability
Deshpande, S. K., & Evans, K. (2019) · Journal of Quantitative Analysis in Sports · doi:10.1515/jqas-2019-0050 · Cited by 1 · see citing works
Athlete rating in multi-competitor games with scored outcomes via monotone transformationsPreprint
Che, J., & Glickman, M. E. (2022) · arXiv (Cornell University) · doi:10.48550/arxiv.2205.10746
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Flagged first, then by citations
2 of the 88 references couldn’t be matched to a known paper.
Research works printed but not linked: 12
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Cited by
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Methodology and evaluation in sports analytics: challenges, approaches, and lessons learned
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Here Comes the STRAIN: Analyzing Defensive Pass Rush in American Football with Player Tracking Data
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Self-citationFinding repeatable progressive pass clusters and application in international football
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From athlete monitoring to responsible decision support in sports analytics
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Can the hot hand phenomenon be modelled? A Bayesian hidden Markov approach
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A multilevel model with heterogeneous variances for snap timing in the National Football League
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- Authors
- Baumer, B. S., Matthews, G. J., & Nguyen, Q.
- Affiliations
- Smith College (US)
- Loyola University Chicago (US)
- Carnegie Mellon University (US)
- Corresponding author
- Baumer, Benjamin S.
- Venue
- WIREs Computational Statistics
- Publisher
- Wiley
- Published
- 2023-05-10
- Volume
- 15
- Issue
- 6
- ISSN
- 1939-0068 (ISSN-L)
- 1939-5108
- OpenAlex
- W4376141713
- Semantic Scholar
- 2b0fafdc3db75f4e37710adb8a835e03d4bd1bdf
- Cited by
- 44
- References
- 88
- Citations by year
- 2026: 16 · 2025: 12 · 2024: 12 · 2023: 4
- FWCI
- 13.37
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Wiley Interdisciplinary Reviews Computational Statistics (publishedVersion)
- Loyola eCommons (Loyola University of Chicago) (submittedVersion, cc-by-nc-nd)
- Smith ScholarWorks (Smith College) (submittedVersion, cc-by)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Sports Analytics and Performance
- Physical Sciences › Computer Science › Artificial Intelligence › Data Analysis with R
- Social Sciences › Decision Sciences › Management Science and Operations Research › Forecasting Techniques and Applications
- Keywords
- sports analytics, winning probability, athletic performance improvement
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-11.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-11.
Cited sources are checked by gpt-6-sol.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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