pyTSPA_toolbox

Contents:

  • Usage
  • Data Handling
  • Performance Metrics
  • Visualization Module

Tutorials:

  • pyTSPA Example Usage
pyTSPA_toolbox
  • Index
  • Edit on GitHub

Index

C | D | E | G | L | P | R | S | T | W

C

  • clean_data() (in module pyTSPA.data)

D

  • data_profiling() (in module pyTSPA.data)

E

  • each_pythagorean_expectation() (in module pyTSPA.metrics)
  • each_team_performance() (in module pyTSPA.metrics)
  • each_win_percentage() (in module pyTSPA.metrics)

G

  • get_all_teams() (in module pyTSPA.metrics)

L

  • load_match_data() (in module pyTSPA.data)
  • logistic_regression_prediction() (in module pyTSPA.metrics)

P

  • plot_goal_difference_distribution() (in module pyTSPA.visualization)
  • plot_league_points_table() (in module pyTSPA.visualization)
  • plot_pythagorean_expectation() (in module pyTSPA.visualization)
  • plot_result_distribution() (in module pyTSPA.visualization)
  • plot_team_results() (in module pyTSPA.visualization)
  • plot_win_percentage_comparison() (in module pyTSPA.visualization)
  • predict_match_outcome() (in module pyTSPA.metrics)
  • pythagorean_expectation() (in module pyTSPA.metrics)

R

  • result_stats() (in module pyTSPA.metrics)

S

  • season_half_prediction() (in module pyTSPA.metrics)

T

  • team_performance() (in module pyTSPA.metrics)

W

  • win_percentage() (in module pyTSPA.metrics)

© Copyright 2025, Kardos Benedek, Szögi Marcell, Varga Henrietta.

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