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NBA Chemistry: Positive and Negative Synergies in Basketball
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/1099-1468(199912)20:8<411::aid-mde957>3.0.co;2-gopenalex-snapshot
Who is ‘most valuable’? Measuring the player's production of wins in the National Basketball Association
inferredcites →https://doi.org/10.1002/mde.4090150507openalex-snapshot
Are baseball players paid their marginal products?
inferredcites →https://doi.org/10.1007/bf02298830openalex-snapshot
Wage inequality and firm performance: Professional basketball's natural experiment
inferredcites →https://doi.org/10.1111/j.1465-7295.2000.tb00022.xopenalex-snapshot
Team effects on compensation: an application to salary determination in the National Hockey League
inferredcites →https://doi.org/10.2202/1559-0410.1070openalex-snapshot
A Starting Point for Analyzing Basketball Statistics
inferredcites →https://doi.org/10.2202/1559-0410.1298openalex-snapshot
On Estimating the Ability of NBA Players
inferredcites →https://doi.org/10.5860/choice.48-0382openalex-snapshot
Stumbling on wins: two economists expose the pitfalls on the road to victory in professional sports
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.2428156openalex-extracted
The Automated General Manager: An Unbiased, Backtested Algorithmic System for Drafts, Trades, and Free Agency that Outperforms Human Front Offices
inferred← citeshttps://doi.org/10.1007/978-3-031-53833-9_8openalex-snapshot
Are Sports Awards About Sports? Using AI to Find the Answer
inferred← citeshttps://doi.org/10.1007/s11238-023-09960-wopenalex-snapshot
Individual selection criteria for optimal team composition
inferred← citeshttps://doi.org/10.1016/j.actpsy.2025.105747openalex-snapshot
Enhancing team dynamics: Unveiling synergy effects through social network analysis in professional basketball
inferred← citeshttps://doi.org/10.1080/02640414.2023.2189216openalex-snapshot
Exploring the relationship between basketball rotation and competitive performance using substitution network analysis
inferred← citeshttps://doi.org/10.1080/24704067.2017.1389248openalex-snapshot
The Automated General Manager: Can an Algorithmic System for Drafts, Trades, and Free Agency Outperform Human Front Offices?
inferred← citeshttps://doi.org/10.1089/big.2023.0177openalex-snapshot
A Basketball Big Data Platform for Box Score and Play-by-Play Data
inferred← citeshttps://doi.org/10.1109/icacce49060.2020.9155038openalex-snapshot
Data Mining Computing of Predicting NBA 2019–2020 Regular Season MVP Winner
inferred← citeshttps://doi.org/10.1109/icccnt61001.2024.10725534openalex-snapshot
NBA MVP Prediction and Historical Analysis Using Cross-Era Comparison Approaches
inferred← citeshttps://doi.org/10.1109/tvcg.2022.3207147openalex-snapshot
Team-Builder: Toward More Effective Lineup Selection in Soccer
inferred← citeshttps://doi.org/10.1111/ecin.12451openalex-snapshot
ACCOUNTING FOR COMPLEMENTARY SKILL SETS: EVALUATING INDIVIDUAL MARGINAL VALUE TO A TEAM IN THE NATIONAL BASKETBALL ASSOCIATION
inferred← citeshttps://doi.org/10.1177/17479541241312390openalex-snapshot
Quantifying player versatility through lineup-based playing styles in elite basketball
inferred← citeshttps://doi.org/10.14198/jhse.2021.163.02openalex-snapshot
NBA Pre-Draft Combine is the weak predictor of rookie basketball player’s performance
inferred← citeshttps://doi.org/10.1515/jqas-2022-0039openalex-snapshot
Predicting elite NBA lineups using individual player order statistics
inferred← citeshttps://doi.org/10.1515/jqas-2024-0057openalex-snapshot
Hypergraph adjusted plus-minus
inferred← citeshttps://doi.org/10.1519/jsc.0000000000001798openalex-snapshot
Predictive Validity of National Basketball Association Draft Combine on Future Performance
inferred← citeshttps://doi.org/10.3233/jsa-200407openalex-snapshot
Identifying group contributions in NBA lineups with spectral analysis
inferred← citeshttps://doi.org/10.3389/fpsyg.2022.955292openalex-snapshot
Clustering Performances in Elite Basketball Matches According to the Anthropometric Features of the Line-ups Based on Big Data Technology
inferred← citeshttps://doi.org/10.3390/electronics14112104openalex-snapshot
Efficient Statistical Computation for K-Player Basketball Lineups Using Semilattice Structures
inferred← citeshttps://doi.org/10.48550/arxiv.2003.01712openalex-snapshot
Player Chemistry: Striving for a Perfectly Balanced Soccer Team
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