PJ Pipes
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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.
PJ Pipes
G2021-22
One to notePJ Pipes places 230th of 3679 players in mid range makes, at 0.6 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▶
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Game log31 games
| Date | Opp | MIN | PTS | FGM | FGA | 3PM | 3PA | FT | REB | AST | STL | BLK | TOV | PF |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| March 15, 2022 | @ WSU | 32 | 3 | 1 | 11 | 1 | 7 | 0-0 | 3 | 3 | 0 | 0 | 1 | 0 |
| March 7, 2022 | @ SMC#19 | 34 | 4 | 2 | 10 | 0 | 1 | 0-0 | 2 | 0 | 0 | 0 | 0 | 2 |
| March 5, 2022 |  PORT | 31 | 21 | 6 | 13 | 2 | 7 | 7-8 | 5 | 5 | 2 | 0 | 3 | 3 |
| Feb 26, 2022 | PORT | 31 | 23 | 8 | 11 | 5 | 7 | 2-2 | 3 | 1 | 2 | 0 | 2 | 1 |
| Feb 24, 2022 | @ PEPP | 33 | 14 | 5 | 10 | 3 | 5 | 1-1 | 8 | 4 | 1 | 0 | 3 | 0 |
| Feb 19, 2022 | @ GONZ#1 | 30 | 27 | 10 | 12 | 4 | 5 | 3-4 | 0 | 1 | 1 | 0 | 2 | 2 |
| Feb 17, 2022 | @ LMU | 30 | 19 | 6 | 11 | 2 | 6 | 5-6 | 2 | 3 | 3 | 0 | 2 | 1 |
| Feb 12, 2022 |  SF#23 | 29 | 7 | 3 | 7 | 1 | 2 | 0-0 | 3 | 3 | 2 | 0 | 3 | 1 |
| Feb 8, 2022 | SMC#19 | 29 | 21 | 8 | 13 | 5 | 8 | 0-0 | 3 | 2 | 0 | 0 | 2 | 2 |
| Feb 5, 2022 | @ USD | 29 | 11 | 4 | 8 | 3 | 5 | 0-0 | 3 | 1 | 0 | 0 | 4 | 2 |
| Feb 3, 2022 | LMU | 26 | 11 | 3 | 8 | 1 | 4 | 4-4 | 2 | 3 | 0 | 0 | 0 | 3 |
| Jan 31, 2022 |  PAC | 18 | 2 | 1 | 8 | 0 | 4 | 0-0 | 2 | 1 | 1 | 0 | 1 | 1 |
| Jan 29, 2022 | @SF#23 | 28 | 12 | 4 | 8 | 0 | 2 | 4-4 | 1 | 3 | 0 | 0 | 1 | 1 |
| Jan 27, 2022 |  BYU | 27 | 10 | 4 | 11 | 1 | 4 | 1-2 | 3 | 3 | 0 | 0 | 2 | 1 |
| Jan 24, 2022 | USD | 34 | 13 | 5 | 13 | 1 | 5 | 2-2 | 2 | 3 | 2 | 1 | 3 | 0 |
| Jan 20, 2022 | @SMC#19 | 35 | 16 | 7 | 14 | 2 | 4 | 0-1 | 4 | 0 | 0 | 0 | 2 | 2 |
| Jan 15, 2022 | GONZ#1 | 24 | 10 | 5 | 11 | 0 | 4 | 0-0 | 2 | 1 | 2 | 0 | 1 | 1 |
| Jan 12, 2022 | @PAC | 26 | 10 | 4 | 8 | 1 | 5 | 1-2 | 0 | 0 | 1 | 0 | 1 | 2 |
| Dec 17, 2021 |  FAMU | 30 | 4 | 1 | 8 | 0 | 6 | 2-2 | 4 | 3 | 1 | 0 | 4 | 2 |
| Dec 14, 2021 | @ BOIS | 30 | 5 | 2 | 9 | 1 | 5 | 0-0 | 2 | 5 | 0 | 0 | 1 | 3 |
| Dec 11, 2021 | @ CAL | 29 | 7 | 3 | 9 | 0 | 2 | 1-2 | 1 | 4 | 1 | 0 | 3 | 1 |
| Dec 7, 2021 |  MSM | 35 | 13 | 4 | 9 | 1 | 4 | 4-4 | 4 | 5 | 1 | 0 | 3 | 2 |
| Dec 4, 2021 |  LT | 35 | 2 | 0 | 8 | 0 | 6 | 2-2 | 4 | 4 | 1 | 0 | 2 | 3 |
| Nov 30, 2021 |  HAW | 34 | 4 | 1 | 8 | 0 | 0 | 2-2 | 5 | 3 | 0 | 0 | 0 | 4 |
| Nov 27, 2021 |  UCI | 37 | 12 | 3 | 9 | 0 | 0 | 6-8 | 2 | 5 | 0 | 1 | 1 | 3 |
| Nov 24, 2021 |  FRES | 35 | 12 | 5 | 13 | 2 | 5 | 0-0 | 2 | 2 | 0 | 0 | 5 | 3 |
| Nov 22, 2021 | @ TCU | 35 | 17 | 6 | 9 | 5 | 6 | 0-0 | 4 | 3 | 1 | 0 | 3 | 3 |
| Nov 19, 2021 |  CP | 35 | 15 | 3 | 13 | 3 | 9 | 6-6 | 2 | 5 | 3 | 0 | 2 | 3 |
| Nov 16, 2021 |  NEV | 28 | 12 | 4 | 11 | 2 | 6 | 2-4 | 2 | 3 | 2 | 0 | 3 | 3 |
| Nov 12, 2021 |  STAN | 37 | 24 | 9 | 11 | 4 | 5 | 2-3 | 2 | 6 | 2 | 0 | 3 | 0 |
| Nov 9, 2021 |  CSUF | 31 | 10 | 3 | 9 | 0 | 4 | 4-5 | 2 | 4 | 0 | 0 | 1 | 3 |
| Season | GP | MIN | PTS | REB | AST | FG% | 3P% | TS% | BPM |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | 31 | 30.9 | 12 | 2.7 | 2.9 | 41.5% | 35% | 53.7% | 1.6 |
2020-21 | 24 | 33.3 | 14.5 | 4.2 | 3 | 43% | 40.7% | 58.4% | 4.1 |
| 2019-20 | 31 | 27.2 | 9.3 | 3 | 2.4 | 44.9% | 44.7% | 60.8% | 2.8 |
| 2018-19 | 38 | 21.1 | 6.1 | 2.2 | 1.3 | 37.5% | 35% | 53% | -0.6 |
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.