Game-Theoretic Simulation Parameters for Basketball Team Performance Analysis

Georgios Nalbantis published a 5.5 KB Excel file containing parameters for a numerical simulation on 2026-05-28. The dataset supports a study analyzing the impact of specialist and generalist star players on organizational performance using basketball data. The underlying research uses a game-theoretical model to test hypotheses about role-switching and team success.

Use Cases

• Calibrating agent-based models of team performance based on the described game-theoretical framework.
• Reproducing the simulation results from the study on star employee specialization.
• Analyzing the theoretical impact of role-switching strategies on organizational outcomes.
• Extending the adaptive role framework to other team-based domains using the provided parameters.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• File size is 5.5 KB, indicating a focused and manageable parameter set.
• The underlying research methodology is explicitly described, linking game theory to empirical basketball data.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset's scope is limited to the specific simulation parameters described in the associated study.

Provenance

Source

Georgios Nalbantis via figshare.

Collection Method

Parameters derived for a numerical simulation based on a game-theoretical model.

Freshness

Last updated 2026-05-28 17:38:12.