ArticlePloS one2019
NBA team home advantage: Identifying key factors using an artificial neural network.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
8 citing papers in PubMed.
- Home-Court Advantage and the Associations of Travel and Jet Lag with Team Performance in the Women's National Basketball Association (WNBA).Sports medicine - open · 2026Article
- The Influence of Home-Court Advantage in Elite Basketball: A Systematic Review.Journal of functional morphology and kinesiology · 2024Review
- Home Advantage and Away Disadvantage of Teams in Champions League: Is It Valid for All Teams and Against Every Opponent?Journal of human kinetics · 2024Article
- Article
- Pre-shot combinations and game-related statistics discriminating between winners and losers depending on the game location during the NBA COVID-19 season.Frontiers in physiology · 2022Article
- Exploring the impact of the COVID-19 pandemic in Euroleague Basketball.Frontiers in psychology · 2022Article
- Eastward Jet Lag is Associated with Impaired Performance and Game Outcome in the National Basketball Association.Frontiers in physiology · 2022Article
- The absence of fans removes the home advantage associated with penalties called by National Hockey League referees.PloS one · 2021Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
What determines a team's home advantage, and why does it change with time? Is it something about the rowdiness of the hometown crowd? Is it something about the location of the team? Or is it something about the team itself, the quality of the team or the styles it may or may not play? To answer these questions, season performance statistics were downloaded for all NBA teams across 32 seasons (83-84 to 17-18). Data were also obtained for other potential influences identified in the literature including: stadium attendance, altitude, and team market size. Using an artificial neural network, a team's home advantage was diagnosed using team performance statistics only. Attendance, altitude, and market size were unsuccessful at improving this diagnosis. The style of play is a key factor in the home advantage. Teams that make more two point and free-throw shots see larger advantages at home. Given the rise in three-point shooting in recent years, this finding partially explains the gradual decline in home advantage observed across the league over time.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.