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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.

UML

Justin Faison

Justin Faison places 473rd of 3426 players in offensive RAPM, at 2.34.

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 Played20
Minutes24.464th1482/4069
Games Started18
ScoringOffense▶
Usage Rate21.4%70th1241/4069
Points8.567th1345/4069
ShootingOffense▶
Field Goals Made3.269th1242/4069
Field Goals Attempted8.377th946/4069
Field Goal Percentage38.3%18th1639/2009
Three-Pointers Made1.379th858/4069
Effective Field Goal Percentage45.8%20th1616/2009
Three-Pointers Attempted4.587th521/4069
Three-Point Percentage27.5%7th1205/1292
Free Throws Made0.848th2130/4069
Free Throws Attempted1.347th2168/4069
True Shooting Percentage47.8%10th1804/2009
Free Throw Percentage68%—
Two Pointers Made1.965th1442/4069
Two Pointers Attempted3.862nd1544/4069
Two Point Percentage51.3%—
Shot ProfileOffense▶
Three-Point Attempt Rate54.5%77th462/2009
Free Throw Rate15%10th1817/2009
Shot LocationsOffense▶
Paint Makes0.751st1790/3679
Paint Attempts1.659th1526/3679
Paint Percentage42.4%—
Mid Range Makes0.692nd300/3679
Mid Range Attempts0.881st715/3679
Mid Range Percentage64.7%—
PlaymakingOffense▶
Assists2.688th504/4069
Turnovers1.723rd3133/4069
Assist to Turnover Ratio1.5381st607/3229
Points Created by Assists3.885th523/3532
Rebounding▶
Rebounds2.544th2269/4069
Rebound Rate6.4%21st2429/3081
ReboundingOffense▶
Offensive Rebounds0.537th2561/4069
ReboundingDefense▶
Defensive Rebounds249th2047/4069
DefenseDefense▶
Steals1.391st358/4069
Blocks0.252nd1914/4069
Personal Fouls2.223rd3127/4069
Impact▶
Box Plus-Minus0.229th2194/3081
Value over Replacement0.327th2240/3081
Player Efficiency Rating13.444th1729/3081
Win Shares0.747th1633/3081
Estimated Wins0.327th2227/3081
Plus Minus2.282nd667/3729
Win Shares per 48 Minutes0.0651st1489/3077
Possessions Played805
Regularized Adjusted Plus-Minus2.7781st663/3426
ImpactOffense▶
Offensive Box Plus-Minus-1.621st2441/3081
Box Creation3.383rd515/3081
Assist Percentage19.985th448/3081
Offensive Rebound Percentage2.427th2224/3081
Turnover Percentage16.045th1669/3081
Offensive Rating95.426th2283/3077
Offensive Win Shares-0.325th2318/3081
Offensive RAPM2.3486th473/3426
ImpactDefense▶
Defensive Box Plus-Minus1.757th1324/3081
Defensive Rating93.591st277/3081
Defensive Rebound Percentage10.322nd2396/3081
Steal Percentage3.292nd216/3081
Block Percentage0.941st1774/3081
Defensive Win Shares1.077th715/3081
Defensive RAPM0.4453rd1620/3426
On Off▶
Net Rating with Him On7.570th997/3372
Net Rating with Him Off3.040th1869/3124
On Off Difference4.564th1126/3124
Possessions with Him On681
20 games
DateOppMINPTSFGMFGA3PM3PAFTREBASTSTLBLKTOVPF
UMLFeb 2, 2022@MEME2001000-0011000
UMLJan 26, 2022UALBUALB21514013-4120023
UMLJan 22, 2022@UNHUNH19939251-2531002
UMLJan 19, 2022MEME3111412152-2131000
UMLJan 12, 2022@UALBUALB30938261-2120011
UMLJan 8, 2022@UMBCUMBC23625012-2331012
UMLJan 6, 2022NJITNJIT2411511160-0210014
UMLJan 2, 2022@BINGBING27008060-0122010
UMLDec 19, 2021SHUSHU291559570-0210023
UMLDec 11, 2021MCLAMCLA2514713040-1432102
UMLDec 8, 2021@BUBU321147350-0350014
UMLDec 4, 2021@MRMKMRMK18213020-0320010
UMLDec 1, 2021BRWNBRWN26629042-2413153
UMLNov 27, 2021FISHFISH249411160-0254241
UMLNov 24, 2021@MASSMASS26939142-3610033
UMLNov 19, 2021@GWGW27427040-0144024
UMLNov 17, 2021CCSUCCSU261038143-4451013
UMLNov 16, 2021@OKSTOKST23628260-0132032
UMLNov 13, 2021@DAYDAY31218165110-0400033
UMLNov 9, 2021RIVIRIVI251259141-3154034

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.