Trey Pulliam
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.
Trey Pulliam
G2021-22
Worth a lookIn effective field goal percentage, Trey Pulliam is 1813th of 2009 players, at 43.6%.
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 log31 games
| Date | Opp | MIN | PTS | FGM | FGA | 3PM | 3PA | FT | REB | AST | STL | BLK | TOV | PF |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| March 17, 2022 |  CREI | 37 | 14 | 6 | 14 | 2 | 2 | 0-2 | 3 | 3 | 2 | 0 | 5 | 1 |
| March 12, 2022 | @ BOIS | 33 | 6 | 3 | 10 | 0 | 1 | 0-0 | 3 | 3 | 2 | 1 | 4 | 4 |
| March 11, 2022 | @ CSU | 34 | 11 | 4 | 8 | 1 | 4 | 2-2 | 0 | 6 | 0 | 0 | 2 | 1 |
| March 10, 2022 |  FRES | 32 | 10 | 5 | 9 | 0 | 1 | 0-1 | 2 | 2 | 1 | 0 | 1 | 1 |
| March 5, 2022 | @ NEV | 31 | 12 | 5 | 10 | 0 | 3 | 2-4 | 3 | 4 | 1 | 0 | 3 | 4 |
| March 3, 2022 | FRES | 39 | 9 | 4 | 13 | 1 | 4 | 0-2 | 2 | 4 | 2 | 0 | 2 | 3 |
| Feb 28, 2022 | @ WYO | 28 | 14 | 6 | 11 | 2 | 5 | 0-0 | 5 | 3 | 1 | 0 | 1 | 2 |
| Feb 25, 2022 |  SJSU | 25 | 13 | 4 | 7 | 1 | 1 | 4-4 | 1 | 0 | 2 | 0 | 2 | 2 |
| Feb 22, 2022 | @BOIS | 22 | 4 | 1 | 4 | 0 | 0 | 2-2 | 1 | 1 | 0 | 0 | 0 | 3 |
| Feb 19, 2022 | @FRES | 34 | 9 | 3 | 8 | 1 | 2 | 2-2 | 1 | 8 | 1 | 0 | 2 | 2 |
| Feb 15, 2022 |  USU | 30 | 2 | 1 | 6 | 0 | 0 | 0-0 | 2 | 3 | 1 | 0 | 2 | 3 |
| Feb 12, 2022 |  AF | 30 | 9 | 2 | 4 | 0 | 0 | 5-7 | 4 | 4 | 1 | 0 | 2 | 2 |
| Feb 9, 2022 | @SJSU | 26 | 6 | 1 | 8 | 0 | 1 | 4-4 | 1 | 3 | 0 | 0 | 1 | 4 |
| Feb 6, 2022 | NEV | 35 | 9 | 4 | 9 | 1 | 4 | 0-0 | 1 | 3 | 0 | 0 | 1 | 3 |
| Feb 4, 2022 | @CSU | 36 | 4 | 2 | 7 | 0 | 2 | 0-0 | 4 | 3 | 1 | 0 | 4 | 1 |
| Jan 31, 2022 |  UNM | 28 | 3 | 1 | 3 | 1 | 2 | 0-0 | 4 | 6 | 0 | 1 | 1 | 0 |
| Jan 26, 2022 | @USU | 27 | 0 | 0 | 4 | 0 | 1 | 0-0 | 3 | 0 | 2 | 0 | 4 | 2 |
| Jan 24, 2022 |  UNLV | 24 | 11 | 4 | 8 | 1 | 3 | 2-4 | 2 | 2 | 0 | 0 | 3 | 3 |
| Jan 22, 2022 | BOIS | 19 | 4 | 2 | 6 | 0 | 1 | 0-0 | 0 | 1 | 1 | 0 | 2 | 1 |
| Jan 8, 2022 | CSU | 23 | 2 | 1 | 4 | 0 | 0 | 0-0 | 2 | 4 | 0 | 0 | 3 | 4 |
| Dec 22, 2021 |  UCSD | 33 | 4 | 1 | 6 | 1 | 2 | 1-2 | 2 | 7 | 1 | 0 | 2 | 2 |
| Dec 17, 2021 | @ SMC#19 | 36 | 15 | 6 | 11 | 1 | 1 | 2-2 | 1 | 6 | 1 | 0 | 4 | 3 |
| Dec 8, 2021 |  CSUF | 37 | 15 | 5 | 10 | 1 | 3 | 4-4 | 7 | 3 | 4 | 1 | 5 | 2 |
| Dec 4, 2021 | @ MICH#24 | 38 | 7 | 2 | 9 | 0 | 2 | 3-4 | 5 | 2 | 2 | 0 | 2 | 4 |
| Nov 30, 2021 |  LBSU | 23 | 16 | 7 | 9 | 1 | 1 | 1-2 | 1 | 5 | 2 | 0 | 2 | 2 |
| Nov 26, 2021 |  USC | 34 | 11 | 4 | 10 | 1 | 2 | 2-4 | 3 | 1 | 1 | 0 | 3 | 4 |
| Nov 25, 2021 |  GTWN | 35 | 7 | 3 | 9 | 1 | 3 | 0-2 | 1 | 8 | 3 | 1 | 1 | 2 |
| Nov 20, 2021 |  UTA | 31 | 11 | 2 | 6 | 2 | 2 | 5-5 | 1 | 2 | 1 | 0 | 1 | 4 |
| Nov 18, 2021 |  ASU | 31 | 4 | 1 | 5 | 0 | 1 | 2-4 | 6 | 4 | 1 | 0 | 1 | 3 |
| Nov 12, 2021 | @ BYU | 36 | 12 | 5 | 14 | 1 | 6 | 1-2 | 3 | 4 | 0 | 0 | 0 | 3 |
| Nov 9, 2021 |  UCR | 32 | 15 | 7 | 16 | 1 | 3 | 0-0 | 4 | 1 | 0 | 0 | 2 | 3 |
| Season | GP | MIN | PTS | REB | AST | FG% | 3P% | TS% | BPM |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | 31 | 30.9 | 8.7 | 2.5 | 3.4 | 39.5% | 33.3% | 46.9% | 1.9 |
| 2020-21 | 27 | 25.9 | 7.3 | 3 | 3.5 | 41.4% | 27.7% | 46.6% | 3.5 |
| 2019-20 | 32 | 17.5 | 3.3 | 1.9 | 1.9 | 43.9% | 33.3% | 49.7% | 3.5 |
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.