Research
New here?How to read this page
▶
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.
Pennsylvania
2025-26 · Ivy · Low Major
| Player | |||||||||
|---|---|---|---|---|---|---|---|---|---|
 TJ PowerF | 30 | 35.1 | 16.4 | 7.6 | 2.4 | 45.1% | 43.2% | 57.0% | 6.4 |
 Ethan RobertsF | 23 | 30.5 | 16.9 | 3.9 | 2.3 | 40.1% | 40.4% | 54.7% | 4.0 |
 Michael ZanoniF | 30 | 28.8 | 11.8 | 2 | 0.7 | 43.6% | 38.7% | 56.7% | 1.8 |
 AJ LevineG | 30 | 24.3 | 8.2 | 3.2 | 4 | 41.7% | 27.5% | 50.0% | 3.1 |
 Dalton ScantleburyC | 29 | 15.5 | 5.9 | 3.9 | 0.6 | 51.2% | — | 55.0% | 3.8 |
 Augustus GerhartF | 30 | 19.8 | 5.5 | 4.7 | 1 | 62.4% | 0.0% | 63.9% | 2.1 |
 Cam ThrowerG | 27 | 17 | 6 | 1.6 | 1.3 | 38.2% | 41.9% | 53.4% | 0.8 |
 Jay JonesG | 27 | 13.7 | 3.9 | 2.3 | 1.2 | 43.2% | 38.9% | 52.7% | 1.0 |
 Lucas LuethF | 29 | 16.1 | 3.2 | 2.9 | 0.6 | 39.8% | 22.6% | 43.5% | -0.4 |
 Niklas PolonowskiF | 23 | 6 | 1.4 | 0.7 | 0.2 | 29.0% | 31.8% | 44.6% | — |
 Michelangelo ObertiC | 12 | 4.4 | 1.8 | 1.2 | 0.1 | 69.2% | — | 72.4% | — |
 Alex MassungG | 10 | 5.5 | 1.7 | 0.6 | 0.7 | 35.7% | — | 46.2% | — |
 Dylan WilliamsG | 7 | 8.7 | 2.1 | 1 | 1.6 | 37.5% | 25.0% | 40.2% | — |
 Johnnie WalterF | 5 | 5.2 | 1 | 0.6 | — | 40.0% | 33.3% | 50.0% | — |
 William KruseF | 3 | 4 | 1.7 | 2 | — | 100.0% | 100.0% | 125.0% | — |
 Payton KaminF | 4 | 3.5 | 1 | 0.3 | 0.3 | 40.0% | 0.0% | 40.0% | — |
 Bradyn FosterF | 1 | 3 | — | — | — | — | — | — | — |
About College Basketball Research
▶
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.