Dolores: a model that predicts football match outcomes from all over the world

Bayesian Data Analysis

Gelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A., & Rubin, D. B. (2013) · doi:10.1201/b16018 · Cited by 27,276 · see citing works

Causality: Models, Reasoning, and Inference

Pearl, J. (2009) · doi:10.1017/cbo9780511803161 · Cited by 11,653 · see citing works

Untitled work

(2009) · Cited by 6,153 · see citing works

A New Interpretation of Information Rate

Kelly, J. L. (1956) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1956.tb03809.x · Cited by 1,643 · see citing works

JOURNAL OF SPORTS SCIENCE & MEDICINE

Kallinen, M. (2005) · Cited by 1,480 · see citing works

Untitled work

(1978) · Medical Entomology and Zoology · Cited by 1,199 · see citing works

Reverend Bayes on Inference Engines: A Distributed Hierarchical Approach

Pearl, J. (2022) · ACM eBooks · doi:10.1145/3501714.3501727 · Cited by 747 · see citing works

Untitled work

(1991) · American Economic Review · Cited by 453 · see citing works

Modelling Association Football Scores and Inefficiencies in the Football Betting Market

Dixon, M. J., & Coles, S. (1997) · Journal of the Royal Statistical Society Series C (Applied Statistics) · doi:10.1111/1467-9876.00065 · Cited by 447 · see citing works

Analysis of sports data by using bivariate Poisson models

Karlis, D., & Ntzoufras, I. (2003) · Journal of the Royal Statistical Society Series D (The Statistician) · doi:10.1111/1467-9884.00366 · Cited by 398 · see citing works

Modelling association football scores

Maher, M. J. (1982) · Statistica Neerlandica · doi:10.1111/j.1467-9574.1982.tb00782.x · Cited by 377 · see citing works

Using ELO ratings for match result prediction in association football

Hvattum, L. M., & Arntzen, H. (2010) · International Journal of Forecasting · doi:10.1016/j.ijforecast.2009.10.002 · Cited by 288 · see citing works

Basketball on Paper: Rules and Tools for Performance Analysis

Oliver, D. S. (2003) · Cited by 257 · see citing works

Odds setters as forecasters: the case of English football

Forrest, D., Goddard, J., & Simmons, R. (2005) · International Journal of Forecasting · doi:10.1016/j.ijforecast.2005.03.003 · Cited by 245 · see citing works

Prediction and Retrospective Analysis of Soccer Matches in a League

Rue, H., & Salvesen, Ø. O. (2000) · Journal of the Royal Statistical Society Series D (The Statistician) · doi:10.1111/1467-9884.00243 · Cited by 208 · see citing works

Regression models for forecasting goals and match results in association football

Goddard, J. A. (2004) · International Journal of Forecasting · doi:10.1016/j.ijforecast.2004.08.002 · Cited by 195 · see citing works

Forecasting football results and the efficiency of fixed‐odds betting

Goddard, J. A., & Asimakopoulos, I. G. (2004) · Journal of Forecasting · doi:10.1002/for.877 · Cited by 184 · see citing works

Information and efficiency: an empirical study of a fixed odds betting market

Kuypers, T. (2000) · Applied Economics · doi:10.1080/00036840050151449 · Cited by 172 · see citing works

Bayesian hierarchical model for the prediction of football results

Baio, G., & Blangiardo, M. (2010) · Journal of Applied Statistics · doi:10.1080/02664760802684177 · Cited by 163 · see citing works

Predicting football results using Bayesian nets and other machine learning techniques

Joseph, A., Fenton, N., & Neil, M. (2006) · Knowledge-Based Systems · doi:10.1016/j.knosys.2006.04.011 · Cited by 155 · see citing works

pi-football: A Bayesian network model for forecasting Association Football match outcomes

Constantinou, A. C., Fenton, N., & Neil, M. (2012) · Knowledge-Based Systems · doi:10.1016/j.knosys.2012.07.008 · Cited by 150 · see citing works

Climate: The Influence of Aerosols

Charlson, R. J., & Pilat, M. J. (1969) · Journal of applied meteorology · doi:10.1175/1520-0450(1969)008 · Cited by 145 · see citing works

The American Economic Association

(1891) · Science · doi:10.1126/science.ns-17.414.23.a · Cited by 144 · see citing works

Modeling Scores in the Premier League: Is Manchester UnitedReallythe Best?

Lee, A. J. (1997) · CHANCE · doi:10.1080/09332480.1997.10554791 · Cited by 121 · see citing works

Forecasting sports tournaments by ratings of (prob)abilities: A comparison for the EURO 2008

Leitner, C., Zeileis, A., & Hornik, K. (2009) · International Journal of Forecasting · doi:10.1016/j.ijforecast.2009.10.001 · Cited by 100 · see citing works

Solving the Problem of Inadequate Scoring Rules for Assessing Probabilistic Football Forecast Models

Constantinou, A. C., & Fenton, N. (2012) · Journal of Quantitative Analysis in Sports · doi:10.1515/1559-0410.1418 · Cited by 88 · see citing works

Football Predictions Based on a Fuzzy Model with Genetic and Neural Tuning

Rotshtein, A. P., Posner, M. J. M., & Rakityanskaya, A. B. (2005) · Cybernetics and Systems Analysis · doi:10.1007/s10559-005-0098-4 · Cited by 74 · see citing works

Determining the level of ability of football teams by dynamic ratings based on the relative discrepancies in scores between adversaries

Constantinou, A. C., & Fenton, N. E. (2013) · Journal of Quantitative Analysis in Sports · doi:10.1515/jqas-2012-0036 · Cited by 72 · see citing works

Profiting from an inefficient association football gambling market: Prediction, risk and uncertainty using Bayesian networks

Constantinou, A. C., Fenton, N., & Neil, M. (2013) · Knowledge-Based Systems · doi:10.1016/j.knosys.2013.05.008 · Cited by 68 · see citing works

Beyond Completion Rate: Evaluating the Passing Ability of Footballers

Szczepański, Ł., & McHale, I. G. (2015) · Journal of the Royal Statistical Society Series A (Statistics in Society) · doi:10.1111/rssa.12115 · Cited by 64 · see citing works

Towards smart-data: Improving predictive accuracy in long-term football team performance

Constantinou, A. C., & Fenton, N. (2017) · Knowledge-Based Systems · doi:10.1016/j.knosys.2017.03.005 · Cited by 61 · see citing works

Possession Versus Position: Strategic Evaluation in AFL.

O'Shaughnessy, D. M. (2006) · PubMed · Cited by 60 · see citing works

A neural network method for prediction of 2006 World Cup Football Game

Huang, K., & Chang, W.-L. (2010) · 2022 International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn.2010.5596458 · Cited by 59 · see citing works

PARX model for football match predictions

Angelini, G., & Angelis, L. D. (2017) · Journal of Forecasting · doi:10.1002/for.2471 · Cited by 47 · see citing works

Profiting from arbitrage and odds biases of the European football gambling market

Constantinou, A. C., & Fenton, N. (2013) · The Journal of Gambling Business and Economics · doi:10.5750/jgbe.v7i2.630 · Cited by 33 · see citing works

Football Match Results Prediction Using Artificial Neural Networks; The Case of Iran Pro League

Arabzad, S. M., Araghi, M. E. T., Sadi‐Nezhad, S., et al. (2014) · DOAJ (DOAJ: Directory of Open Access Journals) · Cited by 31 · see citing works

Soft Computing-Based Result Prediction of Football Games

Tsakonas, A., Dounias, G. D., Shtovba, S., & Vivdyuk, V. (2002) · Cited by 26 · see citing works

An Extension of the Pythagorean Expectation for Association Football

(2011) · doi:10.2202/1559-0410.1335 · Cited by 11 · see citing works

A new model to forecast the results of matches based on hybrid neural networks in the soccer rating system

Cheng, T., Deguang, C., Fan, Z., et al. (2004) · International Conference on Computational Intelligence and Multimedia Applications (ICCIMA) · doi:10.1109/iccima.2003.1238143 · Cited by 10 · see citing works

The Pythagorean Won-Loss Formula and Hockey: A Statistical Justification for Using the Classic Baseball Formula as an Evaluative Tool in HockeyPreprint

Dayaratna, K., & Miller, S. J. (2012) · arXiv (Cornell University) · doi:10.48550/arxiv.1208.1725 · Cited by 9 · see citing works

The development of soccer as a world game

Dunning, E. (2013) · Routledge eBooks · doi:10.4324/9780203025291-10 · Cited by 7 · see citing works

A Markovian model for association football possession and its outcomesPreprint

Peña, J. L. (2014) · arXiv (Cornell University) · doi:10.48550/arxiv.1403.7993 · Cited by 6 · see citing works

A Derivation of the Pythagorean Won-Loss Formula in BaseballPreprint

Miller, S. J. (2005) · arXiv (Cornell University) · doi:10.48550/arxiv.math/0509698

The Football Association v the Football League: using the Football League Cup as a window for exploration

Hopkins, G. (2011) · Soccer and Society · doi:10.1080/14660970.2012.627165 · Cited by 1 · see citing works

Minor League Football, 1960-1985: Standings, Statistics, and Rosters

Gill, B., Brainerd, S. M., & Maher, T. (2002) · Medical Entomology and Zoology

A Study on the Development Environment and Internal Operation of Italy Football League-A

Jian-xi, W. (2009) · Beijing Tiyu Daxue xuebao

Emergence of a professional sports league and human capital formation for sports: The Japanese Professional Football League

Yamamura, E. (2013) · Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)

An analysis of the utilization of social media in gridiron football with direct comparison to Australian rules football in addition to respective college and minor leagues

Schultz, A. (2015) · Cited by 1 · see citing works