Roman Silva
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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.
Roman Silva
C2021-22
Did you knowRoman Silva ranks 134th of 3081 players in offensive rebound percentage, at 13.9.
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 log30 games
| Date | Opp | MIN | PTS | FGM | FGA | 3PM | 3PA | FT | REB | AST | STL | BLK | TOV | PF |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| March 9, 2022 | @ ORE | 18 | 9 | 3 | 6 | 0 | 0 | 3-4 | 1 | 0 | 1 | 0 | 1 | 5 |
| March 5, 2022 | @ WASH | 25 | 12 | 5 | 11 | 0 | 0 | 2-2 | 5 | 1 | 1 | 0 | 3 | 2 |
| March 3, 2022 | @ WSU | 31 | 8 | 4 | 8 | 0 | 0 | 0-0 | 9 | 1 | 2 | 2 | 2 | 3 |
| Feb 28, 2022 | WSU | 30 | 21 | 7 | 8 | 0 | 0 | 7-7 | 7 | 1 | 0 | 0 | 2 | 4 |
| Feb 26, 2022 |  UCLA#10 | 27 | 10 | 4 | 5 | 0 | 0 | 2-2 | 7 | 0 | 0 | 1 | 1 | 3 |
| Feb 24, 2022 |  USC | 24 | 8 | 2 | 4 | 0 | 0 | 4-6 | 7 | 0 | 1 | 1 | 4 | 3 |
| Feb 19, 2022 | @ ASU | 31 | 8 | 4 | 6 | 0 | 0 | 0-0 | 8 | 0 | 0 | 2 | 3 | 1 |
| Feb 17, 2022 | @ ARIZ#9 | 34 | 13 | 5 | 13 | 0 | 0 | 3-4 | 7 | 1 | 1 | 1 | 2 | 3 |
| Feb 15, 2022 |  COLO | 16 | 4 | 2 | 3 | 0 | 0 | 0-0 | 5 | 1 | 0 | 0 | 1 | 4 |
| Feb 12, 2022 |  STAN | 17 | 2 | 1 | 3 | 0 | 0 | 0-0 | 4 | 0 | 0 | 0 | 0 | 4 |
| Feb 9, 2022 |  CAL | 13 | 1 | 0 | 1 | 0 | 0 | 1-3 | 5 | 0 | 1 | 1 | 0 | 3 |
| Feb 5, 2022 | @COLO | 31 | 8 | 3 | 6 | 0 | 0 | 2-2 | 7 | 0 | 0 | 0 | 0 | 1 |
| Feb 3, 2022 | @ UTAH | 27 | 12 | 6 | 9 | 0 | 0 | 0-2 | 8 | 0 | 0 | 1 | 2 | 4 |
| Jan 29, 2022 | @ORE | 34 | 17 | 7 | 13 | 0 | 0 | 3-4 | 6 | 1 | 2 | 0 | 1 | 1 |
| Jan 20, 2022 | WASH | 23 | 13 | 5 | 6 | 0 | 0 | 3-3 | 8 | 0 | 1 | 0 | 1 | 3 |
| Jan 15, 2022 | @UCLA#10 | 17 | 6 | 2 | 2 | 0 | 0 | 2-2 | 2 | 0 | 0 | 0 | 1 | 5 |
| Jan 13, 2022 | @USC | 28 | 3 | 1 | 4 | 0 | 0 | 1-3 | 5 | 1 | 0 | 0 | 2 | 2 |
| Jan 10, 2022 | ORE | 25 | 12 | 5 | 5 | 0 | 0 | 2-2 | 9 | 0 | 1 | 1 | 0 | 4 |
| Dec 30, 2021 | UTAH | 26 | 12 | 6 | 8 | 0 | 0 | 0-0 | 6 | 0 | 1 | 3 | 2 | 4 |
| Dec 21, 2021 |  NICH | 17 | 9 | 3 | 4 | 0 | 0 | 3-5 | 5 | 1 | 1 | 1 | 2 | 3 |
| Dec 18, 2021 |  TA&M | 14 | 2 | 1 | 1 | 0 | 0 | 0-0 | 2 | 1 | 0 | 0 | 0 | 1 |
| Dec 14, 2021 |  UCD | 15 | 4 | 2 | 4 | 0 | 0 | 0-1 | 3 | 0 | 1 | 0 | 1 | 2 |
| Dec 5, 2021 | ARIZ#9 | 17 | 6 | 2 | 4 | 0 | 0 | 2-2 | 4 | 0 | 0 | 1 | 1 | 4 |
| Dec 2, 2021 | @CAL | 7 | 0 | 0 | 3 | 0 | 0 | 0-0 | 0 | 1 | 0 | 1 | 0 | 2 |
| Nov 27, 2021 |  PSU | 13 | 4 | 2 | 3 | 0 | 0 | 0-0 | 2 | 1 | 0 | 0 | 0 | 1 |
| Nov 26, 2021 | @ WAKE | 16 | 5 | 1 | 2 | 0 | 0 | 3-4 | 2 | 0 | 0 | 0 | 0 | 2 |
| Nov 18, 2021 |  SAM | 2 | 0 | 0 | 0 | 0 | 0 | 0-0 | 1 | 0 | 0 | 0 | 0 | 0 |
| Nov 15, 2021 | @ TLSA | 12 | 0 | 0 | 1 | 0 | 0 | 0-1 | 1 | 0 | 0 | 2 | 2 | 3 |
| Nov 12, 2021 | @ ISU | 15 | 6 | 3 | 4 | 0 | 0 | 0-0 | 1 | 0 | 0 | 0 | 0 | 0 |
| Nov 9, 2021 |  PRST | 11 | 0 | 0 | 3 | 0 | 0 | 0-0 | 1 | 0 | 0 | 2 | 0 | 3 |
| Season | GP | MIN | PTS | REB | AST | FG% | 3P% | TS% | BPM |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | 30 | 20.5 | 7.2 | 4.6 | 0.4 | 57.3% | — | 61.1% | 2.0 |
| 2020-21 | 30 | 16 | 5.6 | 2.9 | 0.3 | 65.2% | — | 65.9% | 3.2 |
| 2019-20 | 29 | 7.3 | 1.9 | 1.2 | 0.2 | 57.8% | — | 58.2% | — |
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.