David Fuchs
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.
David Fuchs
F2025-26
NotableDavid Fuchs comes in 233rd of 3278 players in offensive rebound percentage, at 13.1.
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▶
Playing Time▶
ScoringOffense▶
ShootingOffense▶
Shot ProfileOffense▶
Shot LocationsOffense▶
PlaymakingOffense▶
Rebounding▶
ReboundingOffense▶
ReboundingDefense▶
DefenseDefense▶
Impact▶
ImpactOffense▶
ImpactDefense▶
On Off▶
Game log29 games
| Date | Opp | MIN | PTS | FGM | FGA | 3PM | 3PA | FT | REB | AST | STL | BLK | TOV | PF |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| March 8, 2026 | @ ORST | 35 | 11 | 3 | 9 | 0 | 1 | 5-8 | 12 | 2 | 1 | 0 | 0 | 2 |
| March 7, 2026 |  PORT | 28 | 23 | 8 | 13 | 0 | 2 | 7-10 | 16 | 0 | 1 | 0 | 1 | 0 |
| Feb 28, 2026 | @ PAC | 30 | 29 | 10 | 12 | 3 | 4 | 6-10 | 7 | 1 | 0 | 0 | 2 | 1 |
| Feb 18, 2026 |  GONZ#15 | 22 | 9 | 3 | 10 | 0 | 3 | 3-4 | 6 | 2 | 0 | 0 | 2 | 4 |
| Feb 15, 2026 | @ USD | 35 | 21 | 7 | 10 | 0 | 0 | 7-10 | 13 | 3 | 2 | 0 | 3 | 2 |
| Feb 12, 2026 | ORST | 31 | 9 | 4 | 9 | 0 | 2 | 1-2 | 11 | 0 | 0 | 0 | 0 | 3 |
| Feb 7, 2026 | @ SMC | 27 | 11 | 4 | 10 | 1 | 3 | 2-2 | 10 | 2 | 0 | 0 | 0 | 2 |
| Feb 4, 2026 |  LMU | 18 | 3 | 0 | 4 | 0 | 1 | 3-4 | 5 | 2 | 0 | 1 | 3 | 3 |
| Jan 31, 2026 | PAC | 28 | 30 | 11 | 18 | 1 | 2 | 7-9 | 9 | 1 | 2 | 0 | 1 | 1 |
| Jan 28, 2026 | @ SCU | 16 | 7 | 3 | 3 | 0 | 0 | 1-1 | 2 | 1 | 0 | 0 | 4 | 0 |
| Jan 24, 2026 | @GONZ#15 | 6 | 0 | 0 | 2 | 0 | 0 | 0-2 | 1 | 0 | 0 | 1 | 1 | 0 |
| Jan 18, 2026 |  WSU | 23 | 12 | 5 | 7 | 0 | 0 | 2-2 | 5 | 1 | 0 | 0 | 3 | 2 |
| Jan 13, 2026 | SMC | 29 | 12 | 5 | 11 | 1 | 3 | 1-4 | 11 | 1 | 0 | 0 | 2 | 2 |
| Jan 10, 2026 | @ PEPP | 28 | 14 | 7 | 12 | 0 | 0 | 0-2 | 12 | 3 | 2 | 0 | 2 | 0 |
| Jan 8, 2026 | @LMU | 21 | 4 | 1 | 7 | 0 | 2 | 2-4 | 6 | 4 | 0 | 0 | 0 | 2 |
| Jan 4, 2026 | PORT | 21 | 15 | 4 | 10 | 1 | 3 | 6-14 | 10 | 0 | 1 | 1 | 3 | 4 |
| Jan 2, 2026 | USD | 21 | 0 | 0 | 2 | 0 | 1 | 0-0 | 7 | 0 | 0 | 0 | 3 | 1 |
| Dec 30, 2025 | @ORST | 31 | 19 | 5 | 11 | 0 | 2 | 9-14 | 13 | 2 | 0 | 0 | 3 | 1 |
| Dec 28, 2025 | @ SEA | 25 | 13 | 4 | 9 | 0 | 0 | 5-5 | 7 | 3 | 0 | 1 | 4 | 3 |
| Dec 21, 2025 |  MORG | 25 | 23 | 7 | 9 | 0 | 0 | 9-16 | 2 | 1 | 2 | 0 | 1 | 2 |
| Dec 17, 2025 |  LUC | 29 | 20 | 5 | 7 | 0 | 0 | 10-14 | 7 | 4 | 1 | 1 | 0 | 1 |
| Nov 28, 2025 | @ NEV | 24 | 16 | 4 | 7 | 0 | 0 | 8-10 | 9 | 0 | 0 | 1 | 3 | 2 |
| Nov 27, 2025 | @ COLO | 19 | 5 | 2 | 6 | 0 | 0 | 1-2 | 5 | 4 | 0 | 0 | 0 | 3 |
| Nov 22, 2025 | @ MINN | 23 | 11 | 3 | 6 | 1 | 1 | 4-4 | 6 | 1 | 0 | 0 | 3 | 4 |
| Nov 18, 2025 |  NWST | 17 | 13 | 2 | 5 | 1 | 2 | 8-11 | 5 | 1 | 0 | 2 | 1 | 0 |
| Nov 15, 2025 |  BRAD | 28 | 17 | 6 | 9 | 1 | 1 | 4-8 | 12 | 0 | 0 | 0 | 2 | 1 |
| Nov 12, 2025 |  PRST | 21 | 4 | 1 | 5 | 0 | 0 | 2-4 | 6 | 0 | 0 | 0 | 3 | 3 |
| Nov 8, 2025 | @ MEM | 23 | 12 | 4 | 5 | 0 | 0 | 4-6 | 4 | 2 | 1 | 2 | 3 | 4 |
| Nov 3, 2025 |  UCSC | 12 | 5 | 2 | 4 | 0 | 0 | 1-1 | 6 | 1 | 1 | 0 | 1 | 1 |
| Season | GP | MIN | PTS | REB | AST | FG% | 3P% | TS% | BPM |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | 29 | 24 | 12.7 | 7.8 | 1.4 | 51.7% | 30.3% | 58.9% | 5.1 |
2024-25 | 29 | 20.7 | 7.4 | 7.5 | 0.9 | 58.7% | 29.4% | 62.6% | 3.5 |
| 2023-24 | 27 | 22 | 7.9 | 6.4 | 1.3 | 55% | 25% | 58.1% | 3.8 |
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.