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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.

SAC

Deshaun Highler

In value over replacement, Deshaun Highler is 3032nd of 3081 players, at -0.4.

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 10 shown▶
Playing Time▶
Games Played13
Minutes22.457th1732/4069
Games Started3
ScoringOffense▶
Usage Rate17.8%44th2264/4069
Points4.541st2421/4069
ShootingOffense▶
Field Goals Made1.843rd2334/4069
Field Goals Attempted5.656th1792/4069
Field Goal Percentage31.5%1st1988/2009
Three-Pointers Made0.235th2646/4069
Effective Field Goal Percentage33.6%0th2008/2009
Three-Pointers Attempted1.650th2050/4069
Three-Point Percentage14.3%—
Free Throws Made0.844th2262/4069
Free Throws Attempted1.555th1811/4069
True Shooting Percentage36.1%0th2008/2009
Free Throw Percentage50%—
Two Pointers Made1.554th1866/4069
Two Pointers Attempted465th1429/4069
Two Point Percentage38.5%4th1397/1452
Shot ProfileOffense▶
Three-Point Attempt Rate28.8%31st1393/2009
Free Throw Rate27.4%48th1052/2009
Shot LocationsOffense▶
Paint Makes163rd1329/3679
Paint Attempts2.167th1212/3679
Paint Percentage48.1%—
Mid Range Makes0.264th1317/3679
Mid Range Attempts0.878th816/3679
Mid Range Percentage20%—
PlaymakingOffense▶
Assists1.569th1267/4069
Turnovers1.241st2390/4069
Assist to Turnover Ratio1.1964th1164/3229
Points Created by Assists2.572nd992/3532
Rebounding▶
Rebounds2.136th2595/4069
Rebound Rate6.2%19th2494/3081
ReboundingOffense▶
Offensive Rebounds0.650th2031/4069
ReboundingDefense▶
Defensive Rebounds1.534th2670/4069
DefenseDefense▶
Steals0.868th1313/4069
Blocks0.128th2926/4069
Personal Fouls2.222nd3189/4069
Impact▶
Box Plus-Minus-6.51st3057/3081
Value over Replacement-0.42nd3032/3081
Player Efficiency Rating4.52nd3028/3081
Win Shares-1.06th2887/3081
Estimated Wins-0.42nd3025/3081
Plus Minus-0.833rd2482/3729
Win Shares per 48 Minutes-0.132nd3023/3077
Possessions Played473
Regularized Adjusted Plus-Minus1.3564th1241/3426
ImpactOffense▶
Offensive Box Plus-Minus-6.21st3060/3081
Box Creation1.023rd2353/3081
Assist Percentage12.661st1196/3081
Offensive Rebound Percentage3.642nd1771/3081
Turnover Percentage16.442nd1764/3081
Offensive Rating73.01st3037/3077
Offensive Win Shares-1.16th2899/3081
Offensive RAPM-0.3839th2074/3426
ImpactDefense▶
Defensive Box Plus-Minus-0.412th2695/3081
Defensive Rating105.228th2221/3081
Defensive Rebound Percentage9.013th2681/3081
Steal Percentage2.164th1045/3081
Block Percentage0.421st2377/3081
Defensive Win Shares0.124th2331/3081
Defensive RAPM1.7479th725/3426
On Off▶
Net Rating with Him On8.072nd953/3372
Net Rating with Him Off-5.869th951/3124
On Off Difference13.884th496/3124
Possessions with Him On401
13 games
DateOppMINPTSFGMFGA3PM3PAFTREBASTSTLBLKTOVPF
SACFeb 12, 2022SUUSUU28636010-0340021
SACFeb 10, 2022UNCOUNCO9002000-0300000
SACFeb 5, 2022@PRSTPRST23003010-0110032
SACFeb 3, 2022NAUNAU24726013-3311013
SACDec 30, 2021@SUUSUU23727033-4201011
SACDec 17, 2021MNLOMNLO22629042-5122002
SACDec 4, 2021MTSTMTST251158021-3234013
SACDec 2, 2021MONTMONT26427010-2200015
SACNov 27, 2021@ARIZARIZ#916003000-0110021
SACNov 23, 2021UCDUCD31526120-0331114
SACNov 20, 2021UCSDUCSD31627131-3421044
SACNov 15, 2021@CPCP15002020-0000001
SACNov 9, 2021JSPJSP18737110-0220002
By seasonPer game2 seasons
SeasonGPMINPTSREBASTFG%3P%TS%BPM
2021-22SAC1322.44.52.11.531.5%14.3%36.1%-6.5
2020-21SAC819.651.31.641.2%33.3%50.4%—

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.