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FeliceDot27 Ballot for 2023 Week 4

Ballot Type: Computer

Submitted: Sept. 18, 2023, 10:52 p.m.

Overall Rationale: My model uses a neural network to predict the result of a game given the average efficiency statistics for each team. Then, this neural network is used as a basis to simulate every team playing every other team in a home, home, and neutral series, which then provides a basis by which the teams can be ranked. This is stratified, meaning that after the full rankings are produced, the top 50 teams are skimmed and simulated against one another again in an attempt not to reward teams too heavily for beating up on terrible teams and being unable to beat other decent teams. Finally, the teams are ranked by their simulated wins over top-50 teams, with the "Reasons" entry representing that number of wins (ties are broken by the simulated total point differential). I am aware that this ballot is super weird, but it will ideally stabilize as more games are played and the model has more data to work with. Stay tuned for a full write-up of the model and its methodology! I will avoid tweaking the model too heavily to avoid excessively volatile rankings, but I may change that in the interest of pursuing higher accuracy.

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