Evan Miyakawa
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evanmiya.bsky.social
Evan Miyakawa
@evanmiya.bsky.social
College basketball analytics at EvanMiya.com. PhD Statistician / Data Scientist. Featured in ESPN, CBS Sports, The Athletic, Wall Street Journal. Hebrews 11:6.
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The EvanMiya College Basketball Show is a weekly college basketball podcast covering the biggest national storylines and emerging trends men’s college basketball. Hosted by Evan Miyakawa — PhD statist...
evanmiyashow.transistor.fm
January 7, 2026 at 6:11 PM
Bayesian Performance Rating predicts player impact going forward using box score statistics, advanced team impact metrics, and historical data for each player. Players in the upper right of the graph are expected to be the most valuable going forward. You can find full ratings at EvanMiya.com.
EvanMiya CBB Analytics
Advanced college basketball analytics used widely by coaches, journalists, and fans.
EvanMiya.com
December 10, 2025 at 5:22 PM
Priors still do get included even as the season progresses, it's a predictive metric trying to forecast who will play the best going forward.
November 30, 2025 at 7:50 PM
How you feeling now?
November 30, 2025 at 3:41 PM
Additionally, Duke's defense has been stellar when Ngongba is on the floor. Only Dame Sarr has a better Adjusted Team Defensive Efficiency, which measures how many points per 100 possessions the defense is giving up with each player on the court, adjusted for opponent strength.
November 24, 2025 at 5:08 PM
November 22, 2025 at 3:38 AM
You can read more about Box BPR here, which is a part of the overall Bayesian Performance Rating calculation: blog.evanmiya.com/i/176370266/...
Bayesian Performance Rating: The Best Player Metric in CBB
New updates and a full model technical explainer
blog.evanmiya.com
November 17, 2025 at 6:34 PM
Box BPR is a college-specific version of Box Plus-Minus, trained on years of college data to determine which stats add the most value towards winning. There's also some weighting towards zero (D1 avg) for players who haven't played as many possessions so that we don't overreact to small sample sizes
November 17, 2025 at 6:34 PM