Arizona
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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.
Arizona
2024-25 · Big 12 · High Major
| Player | |||||||||
|---|---|---|---|---|---|---|---|---|---|
 Caleb LoveG | 37 | 34 | 17.2 | 4.4 | 3.4 | 39.8% | 34% | 53.8% | 7.4 |
 Jaden BradleyG | 37 | 34.1 | 12.1 | 3.4 | 3.7 | 46.7% | 32.1% | 56.6% | 6.5 |
 KJ LewisG | 37 | 25.9 | 10.8 | 4.6 | 2.9 | 42.9% | 18.8% | 53.2% | 8.6 |
 Henri VeesaarC | 37 | 20.7 | 9.4 | 5 | 1.3 | 59.2% | 32.7% | 65.5% | 11.3 |
 Tobe AwakaF | 37 | 19.5 | 8 | 7.8 | 0.7 | 64.6% | 40% | 67.1% | 8.7 |
 Trey TownsendF | 35 | 21 | 8.2 | 3.9 | 1 | 49.5% | 33.3% | 57.6% | 5.0 |
 Anthony Dell'OrsoG | 37 | 18.2 | 7.2 | 1.4 | 1.4 | 45% | 41.3% | 61.2% | 7.9 |
 Carter BryantF | 37 | 19.2 | 6.5 | 4.1 | 1 | 46% | 37.1% | 59.9% | 9.4 |
 Motiejus KrivasC | 8 | 15.9 | 7.9 | 4.5 | 1.1 | 55.3% | — | 61.5% | — |
 Conrad MartinezG | 22 | 5.1 | 1.6 | 0.3 | 1 | 66.7% | 50% | 83.6% | — |
 Grant WeitmanG | 12 | 1.8 | 0.8 | 0.6 | — | 66.7% | 66.7% | 83.3% | — |
 Emmanuel StephenC | 8 | 2.9 | 1.3 | 1.3 | 0.1 | 100% | — | 79.1% | — |
 Liam LloydG | 14 | 2 | 0.2 | 0.4 | 0.1 | 0% | 0% | 13.9% | — |
 Addison ArnoldG | 11 | 1.4 | 0.3 | 0.3 | — | 25% | 0% | 30.7% | — |
 Will MenaughF | 11 | 1.2 | 0.2 | 0.2 | — | 50% | — | 50% | — |
 Sven DjopmoG | 2 | 1 | 1 | 0.5 | — | 50% | — | 50% | — |
 Luke ChampionF | 9 | 1.6 | — | 0.2 | — | 0% | 0% | 0% | — |
 Will KuykendallG | 3 | 1 | — | — | — | — | — | — | — |
 Jackson CookG | 2 | 1 | — | 0.5 | — | — | — | — | — |
 Jackson FrancoisG | 2 | 1 | — | 0.5 | — | — | — | — | — |
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.