Research
New here?How to read this page
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How to read this page
Team tables split by side of the ball, and the Side control hides the half you are not reading. The roster is everyone who played that season, so a transfer appears under the program he actually played for rather than the one he is at now. There is no game-type control because the tables hold regular-season games only. A dash means no number for that cell, or a zero in a roster column that counts.
Wisconsin
2024-25 · Big Ten · High Major
| Player | |||||||||
|---|---|---|---|---|---|---|---|---|---|
 John TonjeG | 37 | 31.1 | 19.6 | 5.3 | 1.8 | 46.5% | 38.8% | 65.7% | 11.6 |
 John BlackwellG | 37 | 31.2 | 15.8 | 5.1 | 2.2 | 45.1% | 32.2% | 56.7% | 5.8 |
 Steven CrowlF | 37 | 25.6 | 9.9 | 5.3 | 2.4 | 53.9% | 41.6% | 63.5% | 9.3 |
 Nolan WinterF | 37 | 21.1 | 9.4 | 5.8 | 1.1 | 56.4% | 35.8% | 67.1% | 11.2 |
 Max KlesmitG | 33 | 27.6 | 9.2 | 2.4 | 2.7 | 34.5% | 29.0% | 50.3% | 4.7 |
 Kamari McGeeG | 37 | 21.9 | 6.5 | 2.7 | 1.8 | 45.7% | 45.9% | 59.4% | 8.1 |
 Carter GilmoreF | 37 | 19 | 3.9 | 2.6 | 1.3 | 46.8% | 33.9% | 59.0% | 6.5 |
 Xavier AmosF | 37 | 9.7 | 3.5 | 1.8 | 0.4 | 37.4% | 29.4% | 48.6% | 3.7 |
 Jack JanickiG | 37 | 11.4 | 1.9 | 1.4 | 0.8 | 39.1% | 27.7% | 48.0% | 6.8 |
 Markus IlverF | 20 | 3.3 | 1.6 | 0.5 | 0.1 | 35.7% | 33.3% | 52.1% | — |
 Riccardo GreppiF | 9 | 2.3 | 0.9 | 1.1 | 0.1 | 66.7% | 0.0% | 70.9% | — |
 Jack RobisonF | 13 | 1.2 | 0.5 | 0.3 | 0.1 | 50.0% | 100.0% | 75.0% | — |
 Isaac GardG | 13 | 1.2 | 0.2 | 0.2 | 0.1 | 100.0% | 100.0% | 150.0% | — |
 Camren HunterG | 11 | 2 | 0.3 | 0.5 | 0.1 | 12.5% | 25.0% | 18.8% | — |
 Daniel FreitagG | 14 | 1.9 | 0.1 | 0.3 | 0.2 | 9.1% | 0.0% | 8.1% | — |
 Chris HodgesF | 15 | 1.1 | 0.1 | — | — | 0.0% | 0.0% | 10.5% | — |
 Aidan KonopG | 4 | 1 | — | — | — | — | — | — | — |
About College Basketball Research
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Every number the site holds for a Division I team and the players who played for it, in one place. Pick a team and a season and read it. Nothing here needs an account.
Where the numbers come from
The same tables the boards read, resolved through one shared definition per stat. A rate is computed over the whole window rather than averaged across games, so a season figure is not the mean of the nightly ones.