Alexis Yetna
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.
Alexis Yetna
F2021-22
NotableIn offensive rebounds, Alexis Yetna is 112th of 4069 players, at 2.6 per game.
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 18, 2022 |  TCU | 16 | 0 | 0 | 2 | 0 | 1 | 0-0 | 3 | 1 | 1 | 0 | 0 | 0 |
| March 10, 2022 | @ CONN#25 | 26 | 6 | 2 | 8 | 1 | 4 | 1-3 | 6 | 2 | 1 | 0 | 2 | 0 |
| March 9, 2022 |  GTWN | 32 | 5 | 2 | 9 | 0 | 3 | 1-3 | 11 | 2 | 0 | 0 | 1 | 1 |
| March 5, 2022 | @ CREI | 29 | 11 | 5 | 6 | 1 | 1 | 0-0 | 11 | 1 | 1 | 0 | 1 | 1 |
| March 2, 2022 | GTWN | 17 | 2 | 1 | 3 | 0 | 1 | 0-0 | 7 | 1 | 0 | 1 | 1 | 1 |
| Feb 26, 2022 | @ XAV | 17 | 2 | 1 | 2 | 0 | 1 | 0-0 | 3 | 0 | 1 | 0 | 1 | 1 |
| Feb 23, 2022 |  BUT | 24 | 10 | 5 | 11 | 0 | 4 | 0-0 | 10 | 1 | 1 | 0 | 2 | 1 |
| Feb 19, 2022 |  DEP | 21 | 12 | 3 | 9 | 2 | 3 | 4-6 | 5 | 2 | 2 | 0 | 0 | 4 |
| Feb 16, 2022 | @CONN#25 | 25 | 3 | 1 | 4 | 0 | 3 | 1-2 | 8 | 1 | 1 | 0 | 3 | 1 |
| Feb 12, 2022 | @ VILL#8 | 29 | 6 | 2 | 5 | 0 | 2 | 2-2 | 15 | 1 | 1 | 0 | 0 | 2 |
| Feb 9, 2022 | XAV | 25 | 12 | 6 | 11 | 0 | 3 | 0-1 | 5 | 1 | 2 | 0 | 0 | 4 |
| Feb 4, 2022 | CREI | 20 | 6 | 2 | 3 | 2 | 3 | 0-0 | 8 | 0 | 0 | 0 | 2 | 2 |
| Feb 1, 2022 | @GTWN | 15 | 7 | 1 | 5 | 1 | 2 | 4-5 | 6 | 0 | 0 | 0 | 2 | 1 |
| Jan 26, 2022 |  MARQ | 18 | 0 | 0 | 4 | 0 | 1 | 0-0 | 3 | 0 | 0 | 0 | 1 | 1 |
| Jan 24, 2022 |  SJU | 16 | 7 | 2 | 8 | 1 | 2 | 2-2 | 8 | 0 | 0 | 0 | 3 | 0 |
| Jan 22, 2022 | @SJU | 30 | 16 | 6 | 12 | 0 | 3 | 4-6 | 15 | 0 | 0 | 0 | 1 | 1 |
| Jan 15, 2022 | @MARQ | 34 | 15 | 6 | 11 | 1 | 4 | 2-2 | 16 | 0 | 1 | 0 | 4 | 2 |
| Jan 13, 2022 | @DEP | 19 | 4 | 1 | 6 | 0 | 2 | 2-2 | 5 | 0 | 0 | 0 | 1 | 4 |
| Jan 4, 2022 | @BUT | 27 | 14 | 4 | 12 | 2 | 5 | 4-4 | 10 | 1 | 0 | 0 | 2 | 3 |
| Jan 1, 2022 | VILL#8 | 29 | 10 | 4 | 6 | 0 | 0 | 2-2 | 8 | 0 | 1 | 0 | 0 | 5 |
| Dec 29, 2021 | @ PROV | 38 | 13 | 6 | 13 | 0 | 3 | 1-2 | 11 | 0 | 2 | 2 | 0 | 1 |
| Dec 12, 2021 |  RUTG | 38 | 10 | 2 | 8 | 0 | 3 | 6-7 | 7 | 4 | 1 | 2 | 1 | 3 |
| Dec 9, 2021 |  TEX#15 | 34 | 12 | 3 | 8 | 1 | 3 | 5-6 | 11 | 1 | 1 | 1 | 1 | 1 |
| Dec 4, 2021 |  NYACK | 10 | 4 | 2 | 4 | 0 | 1 | 0-0 | 4 | 2 | 0 | 1 | 2 | 3 |
| Dec 1, 2021 |  WAG | 23 | 11 | 5 | 10 | 1 | 3 | 0-1 | 6 | 0 | 0 | 2 | 0 | 1 |
| Nov 28, 2021 |  BCU | 24 | 14 | 4 | 8 | 0 | 2 | 6-6 | 13 | 1 | 0 | 0 | 3 | 2 |
| Nov 24, 2021 | @ CAL | 25 | 10 | 2 | 8 | 1 | 5 | 5-6 | 7 | 0 | 1 | 0 | 0 | 1 |
| Nov 22, 2021 | @ OSU | 21 | 2 | 1 | 2 | 0 | 1 | 0-0 | 3 | 0 | 0 | 0 | 1 | 2 |
| Nov 16, 2021 | @ MICH#24 | 16 | 5 | 2 | 7 | 0 | 3 | 1-3 | 4 | 1 | 0 | 1 | 2 | 1 |
| Nov 14, 2021 |  YALE | 22 | 15 | 5 | 9 | 3 | 5 | 2-3 | 3 | 0 | 0 | 0 | 1 | 3 |
| Nov 10, 2021 |  FDU | 21 | 7 | 2 | 4 | 1 | 2 | 2-2 | 4 | 2 | 0 | 0 | 1 | 1 |
| Season | GP | MIN | PTS | REB | AST | FG% | 3P% | TS% | BPM |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | 31 | 23.9 | 8.1 | 7.6 | 0.8 | 40.4% | 22.8% | 49.9% | 3.7 |
2020-21 | 16 | 27.3 | 9.5 | 7.3 | 0.8 | 46.3% | 31.5% | 56.3% | 5.1 |
| 2018-19 | 36 | 30.2 | 12.3 | 9.6 | 1 | 53.9% | 36.8% | 60.5% | 5.8 |
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.