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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.
Isaac McKneely
G2025-26
NotableIsaac McKneely comes in 2846th of 3278 players in block percentage, at 0.2.
94th beats 94% of the Players; 1 is the best of however many the row says. Higher is always better, whichever way the stat runs. Red to green by where the placing sits. A stat with no better end is left unpainted.
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Game log35 games
| Date | Opp | MIN | PTS | FGM | FGA | 3PM | 3PA | FT | REB | AST | STL | BLK | TOV | PF |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| March 21, 2026 | @ MSU#11 | 35 | 9 | 3 | 9 | 3 | 7 | 0-0 | 4 | 2 | 1 | 0 | 1 | 3 |
| March 19, 2026 |  USF | 28 | 23 | 8 | 11 | 7 | 10 | 0-0 | 3 | 2 | 1 | 0 | 2 | 2 |
| March 12, 2026 | @ MIA | 31 | 6 | 2 | 8 | 1 | 6 | 1-2 | 3 | 2 | 0 | 0 | 3 | 1 |
| March 11, 2026 |  SMU | 39 | 10 | 2 | 9 | 2 | 7 | 4-5 | 7 | 5 | 1 | 0 | 1 | 0 |
| March 7, 2026 | @MIA | 35 | 15 | 6 | 11 | 2 | 6 | 1-2 | 4 | 5 | 0 | 0 | 1 | 2 |
| March 3, 2026 |  SYR | 34 | 16 | 5 | 11 | 5 | 11 | 1-1 | 4 | 1 | 1 | 0 | 0 | 3 |
| Feb 28, 2026 | @ CLEM | 27 | 6 | 2 | 8 | 2 | 7 | 0-0 | 4 | 0 | 0 | 0 | 1 | 2 |
| Feb 23, 2026 | @ UNC | 24 | 0 | 0 | 5 | 0 | 5 | 0-0 | 2 | 2 | 1 | 0 | 0 | 1 |
| Feb 21, 2026 |  GT | 23 | 14 | 4 | 4 | 3 | 3 | 3-3 | 2 | 0 | 1 | 0 | 2 | 1 |
| Feb 17, 2026 | @SMU | 25 | 6 | 2 | 7 | 2 | 5 | 0-0 | 2 | 4 | 1 | 0 | 1 | 4 |
| Feb 14, 2026 | @ BAY | 19 | 2 | 1 | 4 | 0 | 2 | 0-0 | 1 | 0 | 0 | 0 | 1 | 0 |
| Feb 9, 2026 |  NCSU | 26 | 8 | 2 | 6 | 2 | 5 | 2-2 | 2 | 2 | 0 | 0 | 0 | 1 |
| Feb 7, 2026 | @ WAKE | 22 | 11 | 4 | 5 | 3 | 4 | 0-0 | 0 | 0 | 0 | 0 | 0 | 2 |
| Feb 4, 2026 |  ND | 27 | 13 | 4 | 8 | 4 | 8 | 1-1 | 2 | 0 | 0 | 0 | 0 | 1 |
| Jan 31, 2026 | SMU | 24 | 14 | 5 | 10 | 4 | 9 | 0-0 | 3 | 1 | 0 | 0 | 1 | 0 |
| Jan 26, 2026 | @ DUKE#3 | 29 | 6 | 2 | 6 | 2 | 5 | 0-0 | 2 | 1 | 1 | 0 | 1 | 0 |
| Jan 24, 2026 |  VT | 28 | 8 | 3 | 9 | 2 | 7 | 0-0 | 3 | 1 | 0 | 0 | 2 | 1 |
| Jan 17, 2026 | @ PITT | 34 | 11 | 3 | 8 | 3 | 6 | 2-3 | 4 | 2 | 0 | 0 | 0 | 1 |
| Jan 13, 2026 |  UVA#18 | 38 | 23 | 7 | 16 | 5 | 14 | 4-4 | 5 | 0 | 2 | 0 | 0 | 1 |
| Jan 10, 2026 |  BC | 33 | 13 | 3 | 10 | 2 | 8 | 5-5 | 1 | 2 | 0 | 0 | 0 | 2 |
| Jan 6, 2026 | DUKE#3 | 31 | 6 | 1 | 5 | 1 | 5 | 3-4 | 4 | 1 | 1 | 0 | 2 | 2 |
| Jan 2, 2026 | @ STAN | 37 | 17 | 5 | 11 | 3 | 8 | 4-4 | 3 | 3 | 1 | 0 | 2 | 1 |
| Dec 30, 2025 | @ CAL | 35 | 11 | 4 | 11 | 3 | 9 | 0-0 | 1 | 3 | 0 | 0 | 1 | 2 |
| Dec 20, 2025 |  MONT | 33 | 16 | 5 | 7 | 4 | 6 | 2-2 | 5 | 0 | 1 | 0 | 1 | 0 |
| Dec 16, 2025 | @ TENN#12 | 35 | 5 | 2 | 10 | 1 | 7 | 0-0 | 1 | 0 | 0 | 0 | 0 | 2 |
| Dec 13, 2025 |  MEM | 22 | 2 | 0 | 3 | 0 | 3 | 2-2 | 1 | 4 | 0 | 0 | 0 | 3 |
| Dec 6, 2025 |  IU | 30 | 15 | 5 | 9 | 5 | 9 | 0-0 | 3 | 1 | 2 | 0 | 2 | 0 |
| Dec 3, 2025 | @ ARK#20 | 30 | 11 | 3 | 8 | 1 | 5 | 4-4 | 4 | 1 | 0 | 0 | 0 | 1 |
| Nov 26, 2025 |  NJIT | 22 | 17 | 6 | 11 | 5 | 10 | 0-0 | 3 | 0 | 0 | 0 | 0 | 0 |
| Nov 24, 2025 |  EMU | 27 | 17 | 6 | 10 | 5 | 9 | 0-1 | 3 | 0 | 0 | 1 | 0 | 1 |
| Nov 21, 2025 | @ CIN | 26 | 3 | 0 | 4 | 0 | 3 | 3-3 | 4 | 1 | 0 | 0 | 1 | 2 |
| Nov 15, 2025 |  OHIO | 25 | 15 | 5 | 11 | 4 | 10 | 1-1 | 6 | 0 | 0 | 1 | 2 | 1 |
| Nov 11, 2025 |  UK | 31 | 9 | 3 | 8 | 3 | 7 | 0-0 | 5 | 2 | 2 | 0 | 1 | 4 |
| Nov 6, 2025 |  JKST | 27 | 8 | 3 | 7 | 2 | 6 | 0-1 | 0 | 2 | 1 | 0 | 0 | 1 |
| Nov 3, 2025 |  SCST | 22 | 17 | 6 | 13 | 5 | 11 | 0-0 | 4 | 0 | 1 | 0 | 1 | 1 |
| Season | GP | MIN | PTS | REB | AST | FG% | 3P% | TS% | BPM |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | 35 | 29 | 10.9 | 3 | 1.4 | 41.6% | 39.5% | 60.8% | 5.7 |
| 2024-25 | 32 | 34.4 | 14.4 | 2.7 | 2.9 | 43.9% | 42.1% | 61.3% | 6.8 |
| 2023-24 | 33 | 32.3 | 12.3 | 3 | 1.6 | 40.9% | 44.5% | 56.1% | 5.3 |
| 2022-23 | 33 | 21.5 | 6.7 | 2.2 | 0.7 | 42.3% | 39.2% | 57.6% | 3.6 |
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.