The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
The Effects of the NBA COVID Bubble on the NBA Playoffs: A Case Study for Home-Court Advantage
Abstract
The 2020 NBA playoffs were played inside of a bubble at Disney World because of the COVID-19 pandemic. This meant that there were no fans in attendance, games were played on neutral courts and no traveling for teams. In theory, these conditions should remove home-court advantage from the games. This setting generated discussion and concern, as analysts and fans debated the possible effects it may have on the outcome of games. Home-court advantage has historically played an influential role in NBA playoff series outcomes. The 2020 playoffs provided a unique opportunity to study the effects of the bubble and home-court advantage by comparing the 2020 season with the seasons in the past. While many factors contribute to the outcome of games, points scored is the deciding factor of who wins. Thus, scoring is the primary focus of this study. The specific measures of interest are team scoring totals and team shooting percentage on two-pointers, three-pointers, and free throws. Comparing these measures for home teams and away teams in 2020 vs. 2017-2019 shows that the 2020 playoffs favored away teams more than usual, particularly with two-point shooting and total scoring. KEYWORDS: NBA; NBA Covid; NBA Bubble; Homecourt Advantage
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“They found that away teams performed better in the absence of fans [52].”
From The Influence of Home-Court Advantage in Elite Basketball: A Systematic Review (2024) · cites this paper as [52]
In the citing paper
“Away teams experienced an improvement during the COVID-19 season, and their performance was affected by the influence of travel, fan pressure, and unfamiliar courts [52].”
From The Influence of Home-Court Advantage in Elite Basketball: A Systematic Review (2024) · cites this paper as [52]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Lopez, M. J., Matthews, G. J., & Baumer, B. S. (2018) · The Annals of Applied Statistics · doi:10.1214/18-aoas1165 · Cited by 52
Cited by
Impact of COVID-19 Pandemic on HOME Advantage in Different European Professional Basketball Leagues
Alonso, E., Lorenzo, A., Ribas, C., & Gómez, M. Á. (2022) · Perceptual and Motor Skills · doi:10.1177/00315125211072483 · Cited by 44
The Influence of Home-Court Advantage in Elite Basketball: A Systematic Review
Mochales Cuesta, I., Jiménez-Sáiz, S. L., Kelly, A. L., & Bustamante-Sánchez, Á. (2024) · Journal of Functional Morphology and Kinesiology · doi:10.3390/jfmk9040192 · Cited by 13
Metadata
- Authors
- Price, M., & Yan, J.
- Venue
- American Journal of Undergraduate Research
- Published
- 2022-04-13
- Volume
- 18
- Issue
- 4
- Pages
- 3-14
- ISSN
- 2375-8732
- 1536-4585
- Cited by
- 8
- References
- 1
- Language
- en
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.
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.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The Effects of the NBA COVID Bubble on the NBA Playoffs: A Case Study for Home-Court Advantage. https://app.cochat.ai/papers/10.33697/ajur.2022.051
- The paper
- Price, M., & Yan, J. (2022). The Effects of the NBA COVID Bubble on the NBA Playoffs: A Case Study for Home-Court Advantage. American Journal of Undergraduate Research. https://doi.org/10.33697/ajur.2022.051
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
