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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.
Tucker DeVries
F2025-26
Worth a lookTucker DeVries is 12th of 3669 players in regularized adjusted plus-minus, at 9.99.
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.
Cardsall 10 shown▶
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Game log32 games
| Date | Opp | MIN | PTS | FGM | FGA | 3PM | 3PA | FT | REB | AST | STL | BLK | TOV | PF |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| March 11, 2026 |  NU | 37 | 6 | 2 | 9 | 1 | 5 | 1-2 | 8 | 6 | 1 | 1 | 2 | 2 |
| March 7, 2026 | @ OSU#24 | 39 | 17 | 7 | 14 | 1 | 7 | 2-2 | 3 | 5 | 3 | 0 | 1 | 2 |
| March 4, 2026 |  MINN | 36 | 13 | 5 | 10 | 3 | 5 | 0-0 | 8 | 5 | 2 | 1 | 1 | 2 |
| March 1, 2026 |  MSU#11 | 40 | 20 | 6 | 16 | 3 | 12 | 5-5 | 6 | 2 | 2 | 1 | 1 | 2 |
| Feb 24, 2026 | NU | 37 | 11 | 3 | 11 | 2 | 7 | 3-3 | 2 | 1 | 1 | 1 | 1 | 2 |
| Feb 20, 2026 | @ PUR#8 | 37 | 11 | 4 | 6 | 3 | 4 | 0-0 | 2 | 2 | 0 | 0 | 1 | 2 |
| Feb 15, 2026 | @ ILL#6 | 35 | 13 | 5 | 12 | 3 | 7 | 0-0 | 2 | 1 | 0 | 0 | 2 | 2 |
| Feb 9, 2026 |  ORE | 33 | 15 | 5 | 10 | 2 | 6 | 3-3 | 3 | 7 | 0 | 0 | 1 | 3 |
| Feb 7, 2026 |  WIS#22 | 45 | 16 | 5 | 10 | 3 | 7 | 3-4 | 8 | 1 | 0 | 2 | 3 | 2 |
| Feb 3, 2026 | @ USC | 37 | 5 | 1 | 9 | 1 | 8 | 2-2 | 6 | 5 | 3 | 0 | 2 | 1 |
| Jan 31, 2026 | @ UCLA#25 | 46 | 9 | 2 | 8 | 1 | 4 | 4-4 | 10 | 7 | 0 | 1 | 2 | 3 |
| Jan 27, 2026 | PUR#8 | 34 | 9 | 3 | 7 | 3 | 7 | 0-2 | 10 | 3 | 3 | 1 | 1 | 3 |
| Jan 23, 2026 | @ RUTG | 37 | 22 | 9 | 20 | 4 | 12 | 0-0 | 10 | 6 | 1 | 0 | 1 | 0 |
| Jan 20, 2026 | @ MICH#1 | 30 | 15 | 5 | 11 | 4 | 9 | 1-2 | 3 | 3 | 1 | 0 | 1 | 3 |
| Jan 17, 2026 |  IOWA#23 | 34 | 7 | 2 | 9 | 2 | 6 | 1-2 | 3 | 3 | 1 | 0 | 0 | 1 |
| Jan 13, 2026 | @MSU#11 | 33 | 9 | 3 | 10 | 1 | 7 | 2-2 | 2 | 3 | 1 | 0 | 0 | 4 |
| Jan 10, 2026 |  NEB#17 | 29 | 17 | 6 | 13 | 3 | 8 | 2-2 | 6 | 3 | 2 | 0 | 3 | 4 |
| Jan 7, 2026 | @ MD | 22 | 5 | 2 | 7 | 1 | 6 | 0-0 | 2 | 2 | 2 | 0 | 2 | 4 |
| Jan 4, 2026 |  WASH | 31 | 6 | 3 | 7 | 0 | 4 | 0-0 | 4 | 0 | 0 | 0 | 0 | 3 |
| Dec 22, 2025 |  SIE | 35 | 16 | 5 | 13 | 3 | 9 | 3-4 | 11 | 0 | 2 | 1 | 1 | 4 |
| Dec 20, 2025 |  CHST | 29 | 8 | 3 | 12 | 2 | 11 | 0-0 | 5 | 3 | 0 | 2 | 3 | 1 |
| Dec 13, 2025 | @ UK | 35 | 15 | 4 | 13 | 1 | 9 | 6-6 | 7 | 3 | 1 | 1 | 4 | 5 |
| Dec 9, 2025 |  PSU | 32 | 12 | 5 | 10 | 2 | 6 | 0-0 | 1 | 6 | 1 | 1 | 1 | 3 |
| Dec 6, 2025 | @ LOU#19 | 35 | 26 | 5 | 14 | 4 | 11 | 12-13 | 5 | 1 | 0 | 0 | 3 | 4 |
| Dec 3, 2025 | @MINN | 37 | 9 | 3 | 13 | 3 | 10 | 0-0 | 3 | 3 | 1 | 1 | 0 | 2 |
| Nov 29, 2025 |  BCU | 27 | 20 | 6 | 12 | 5 | 10 | 3-3 | 3 | 5 | 0 | 1 | 0 | 3 |
| Nov 25, 2025 |  KSU | 31 | 9 | 4 | 11 | 1 | 6 | 0-0 | 6 | 5 | 1 | 2 | 1 | 2 |
| Nov 20, 2025 |  LIN | 34 | 25 | 7 | 15 | 5 | 10 | 6-6 | 3 | 3 | 1 | 1 | 0 | 2 |
| Nov 16, 2025 |  UIW | 37 | 14 | 4 | 13 | 3 | 11 | 3-6 | 5 | 3 | 1 | 0 | 1 | 1 |
| Nov 12, 2025 |  MILW | 33 | 12 | 4 | 10 | 2 | 5 | 2-2 | 5 | 2 | 3 | 0 | 2 | 1 |
| Nov 9, 2025 | @ MARQ | 30 | 27 | 9 | 15 | 6 | 9 | 3-3 | 5 | 2 | 1 | 0 | 3 | 4 |
| Nov 5, 2025 |  AAMU | 30 | 18 | 7 | 13 | 4 | 8 | 0-0 | 11 | 4 | 1 | 0 | 3 | 2 |
| Season | GP | MIN | PTS | REB | AST | FG% | 3P% | TS% | BPM |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | 32 | 34.3 | 13.7 | 5.3 | 3.3 | 39.7% | 33.3% | 55.0% | 7.9 |
2024-25 | 8 | 34.5 | 14.9 | 4.9 | 2.8 | 41.2% | 47.3% | 61.1% | 13.1 |
2023-24 | 34 | 35.5 | 21.6 | 6.7 | 3.7 | 44.4% | 36.3% | 57.6% | 9.8 |
| 2022-23 | 34 | 33.1 | 18.6 | 5.7 | 1.8 | 44.6% | 37.3% | 58.7% | 9.3 |
| 2021-22 | 36 | 29.8 | 13.9 | 4.6 | 2.1 | 41.6% | 33.9% | 54.2% | 7.6 |
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.