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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.

USC

Jordan Marsh

Jordan Marsh is 3662nd of 4184 players in offensive rebounds, at 0.2 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 8 shown▶
Playing Time▶
Games Played28
Minutes18.346th2274/4184
Games Started0
ScoringOffense▶
Usage Rate20.2%64th1508/4184
Points7.356th1831/4184
ShootingOffense▶
Field Goals Made2.250th2076/4184
Field Goals Attempted5.555th1890/4184
Field Goal Percentage40.0%23rd1636/2133
Three-Pointers Made1.172nd1191/4184
Effective Field Goal Percentage49.7%35th1381/2133
Three-Pointers Attempted369th1288/4184
Three-Point Percentage35.7%55th714/1602
Free Throws Made1.870th1262/4184
Free Throws Attempted2.366th1403/4184
True Shooting Percentage55.5%45th1165/2133
Free Throw Percentage77.8%—
Two Pointers Made1.143rd2390/4184
Two Pointers Attempted2.547th2235/4184
Two Point Percentage45.1%—
Shot ProfileOffense▶
Three-Point Attempt Rate54.2%74th554/2133
Free Throw Rate40.6%70th640/2133
PlaymakingOffense▶
Assists1.976th1024/4184
Turnovers1.140th2502/4184
Assist to Turnover Ratio1.6876th801/3361
Rebounding▶
Rebounds233rd2802/4184
Rebound Rate6.8%23rd2496/3278
ReboundingOffense▶
Offensive Rebounds0.212th3662/4184
ReboundingDefense▶
Defensive Rebounds1.843rd2364/4184
DefenseDefense▶
Steals0.763rd1548/4184
Blocks0.134th2756/4184
Personal Fouls1.941st2463/4184
Impact▶
Box Plus-Minus3.767th1069/3278
Value over Replacement0.955th1485/3278
Player Efficiency Rating13.241st1944/3278
Win Shares0.640th1956/3278
Estimated Wins0.954th1508/3278
Win Shares per 48 Minutes0.0443rd1877/3278
Possessions Played898
ImpactOffense▶
Offensive Box Plus-Minus0.954th1496/3278
Box Creation3.582nd582/3278
Assist Percentage19.082nd579/3278
Offensive Rebound Percentage1.58th2993/3278
Turnover Percentage14.544th1816/3278
Offensive Rating109.649th1680/3278
Offensive Win Shares0.347th1720/3278
ImpactDefense▶
Defensive Box Plus-Minus2.878th714/3278
Defensive Rating110.834th2137/3278
Defensive Rebound Percentage11.733rd2177/3278
Steal Percentage2.267th1017/3278
Block Percentage0.629th2255/3278
Defensive Win Shares0.233rd2188/3278
28 games
DateOppMINPTSFGMFGA3PM3PAFTREBASTSTLBLKTOVPF
USCMarch 11, 2026@WASHWASH3313410273-3952012
USCMarch 7, 2026UCLAUCLA#2524938152-2220104
USCMarch 4, 2026@WASHWASH2914410383-4001021
USCFeb 24, 2026@UCLAUCLA#253001010-0100010
USCFeb 21, 2026OREORE9002010-0100001
USCFeb 18, 2026ILLILL#615529150-0110103
USCFeb 11, 2026@OSUOSU#24191337245-7210000
USCFeb 8, 2026@PSUPSU22938370-0421023
USCFeb 3, 2026IUIU1200002-2000000
USCJan 21, 2026NUNU2219510029-9010014
USCJan 17, 2026PURPUR#8274212060-4332015
USCJan 13, 2026MDMD2420714492-2441013
USCJan 9, 2026@MINNMINN3000000-0100010
USCJan 5, 2026@MSUMSU#115000000-0100011
USCJan 2, 2026@MICHMICH#116316140-0001023
USCDec 21, 2025UCSCUCSC25947021-2333001
USCDec 17, 2025UTSAUTSA331148241-3123032
USCDec 14, 2025WSUWSU31835111-2351023
USCDec 9, 2025@USDUSD29626012-2521154
USCDec 6, 2025WASHWASH2517410257-9230002
USCDec 2, 2025@OREORE6000000-0020000
USCNov 26, 2025@ASUASU21935122-2440003
USCNov 25, 2025HALLHALL12713005-6100032
USCNov 24, 2025@BOISBOIS21824232-2312030
USCNov 20, 2025TROYTROY16624220-0150002
USCNov 14, 2025ILSTILST3000000-0000001
USCNov 9, 2025MANMAN191136352-2221012
USCNov 3, 2025CPCP19000000-0141011
By seasonPer game3 seasons
SeasonGPMINPTSREBASTFG%3P%TS%BPM
2025-26USC2818.37.321.940.0%35.7%55.5%3.7
2024-25UNCA3228.718.84.23.744.8%30.5%53.8%5.0
2023-24APP3211.66.21.61.341.3%29.7%50.6%5.1

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.