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This repo stores my code and plots for sports-related plots. Any "small" data is stored in the repo. Otherwise, it's saved locally and git-ignored here.
The projects are listed in reverse chronological order. A skipped number corresponds to an idea that I did not end up finishing.
85. 2024 Fantasy Football Season Projections
84. 2024 EURO and Copa America "Pacing"
82. 2023/24 EPL Points Won and Lost
81. 2024 MLS Atlanta United Preview
80. 2023 MLS Attacking Throw-ins
79. 2023/24 UCL Round of 16 Relative Opta Rankings
9. 2020 Champions League Finals, Bayern Munich's Goal
8. 2020 NBA Playoffs Total Excitement Index
At the end of the playoffs
As of 2020-09-06
7. 2020 Champions League Quarter-Finals, PSG's 2nd Goal
Note: This gif really should have had some smoothing applied. The matrix inversion with solve() in the code returns some near infinite values for some inputs.
6. Texas High School Football and Marching Band Success
5. NBA 3P% Stability Rate
4. 2020 Soccer Competition-Adjusted Non-Penalty Goals Per 90 Minutes
1. 2020 NBA Western Conference League Restart Playoff Seeding Probabilities
Future Ideas
Visualize difference between proportion of the EPL season in which a team is in the top 4 of the league with matchweeks vs. actual time.
In which sport is the leading team most likely to further their lead near the end of the game due to an opposition error, overly-aggressive tactics by the opposition, etc.? (End of game depends on the sport. Ideally, we could use a win probability model to help identify end-of-game context, although it would still need some adjustment.) Extension: In which sport are gamblers most likely to lose/win due to a back-door cover?
Decision tree to filter down players in a sport to just one player who has achieved a very specific set of career totals/averages (i.e. inspiration)
Playing time in career at current team sonar (inspiration)
Which positions is it ok to have a weak spot at? (inspiration)
Do coaches sub-off players with yellow cards at a higher rate than they would otherwise?