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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.

PENN

Jackson Donahue

Jackson Donahue sits 3420th of 3918 players in blocks, at 0 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.

all 7 shown▶
Playing Time▶
Games Played28
Minutes6.912th3435/3918
Games Started2
ScoringOffense▶
Usage Rate21.6%73rd1075/3918
Points2.421st3080/3918
ShootingOffense▶
Field Goals Made0.818th3194/3918
Field Goals Attempted2.627th2852/3918
Field Goal Percentage30.6%—
Three-Pointers Made0.760th1580/3918
Effective Field Goal Percentage44.4%—
Three-Pointers Attempted2.361st1539/3918
Three-Point Percentage31.7%—
Free Throws Made0.18th3610/3918
Free Throws Attempted0.26th3663/3918
True Shooting Percentage45.6%—
Free Throw Percentage66.7%—
Two Pointers Made0.13rd3803/3918
Two Pointers Attempted0.34th3746/3918
Two Point Percentage22.2%—
Shot ProfileOffense▶
Three-Point Attempt Rate87.5%—
Free Throw Rate8.3%—
PlaymakingOffense▶
Assists0.635th2560/3918
Turnovers0.393rd268/3918
Assist to Turnover Ratio2.29—
Rebounding▶
Rebounds0.55th3717/3918
ReboundingOffense▶
Offensive Rebounds0.216th3295/3918
ReboundingDefense▶
Defensive Rebounds0.34th3777/3918
DefenseDefense▶
Steals0.110th3536/3918
Blocks06th3420/3918
Personal Fouls0.594th235/3918
28 games
DateOppMINPTSFGMFGA3PM3PAFTREBASTSTLBLKTOVPF
PENNMarch 16, 2019@HARVHARV10001010-0000001
PENNMarch 9, 2019BRWNBRWN14005050-1011010
PENNMarch 8, 2019YALEYALE11627270-0210012
PENNMarch 2, 2019@DARTDART3110412280-0230002
PENNMarch 1, 2019@HARVHARV1000000-0000000
PENNFeb 22, 2019COLUCOLU2000000-0000000
PENNFeb 15, 2019DARTDART2001010-0000000
PENNFeb 9, 2019@YALEYALE3002020-0100001
PENNFeb 8, 2019@BRWNBRWN3001010-0000000
PENNFeb 2, 2019@COLUCOLU7002020-0110000
PENNFeb 1, 2019@CORCOR6312120-0000000
PENNJan 26, 2019@JOESJOES3001010-0000000
PENNJan 12, 2019PRINPRIN7312110-0030000
PENNJan 5, 2019@PRINPRIN3001010-0000001
PENNDec 31, 2018MONMMONM5412121-1010020
PENNDec 29, 2018@TOLTOL11314140-0010011
PENNDec 22, 2018@UNMUNM5724241-1210001
PENNDec 11, 2018VILLVILL1000000-0000000
PENNDec 8, 2018@LASLAS7001000-0200001
PENNDec 4, 2018MIAMIA5311110-0100000
PENNNov 27, 2018@DSUDSU13937350-0300011
PENNNov 24, 2018STKNSTKN12934340-0011002
PENNNov 19, 2018ORSTORST12314130-0000010
PENNNov 18, 2018@KSUKSU#141001010-0000000
PENNNov 16, 2018UNIUNI5002020-0000000
PENNNov 13, 2018LAFLAF5623230-0010000
PENNNov 9, 2018RICERICE4001010-0000001
PENNNov 6, 2018@GMUGMU5201012-3021000

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.