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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

Shawn Jones

Shawn Jones comes in 326th of 3458 players in plus minus, at 1.6 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.

all 10 shown▶
Playing Time▶
Games Played21
Minutes16.741st2322/3918
Games Started4
ScoringOffense▶
Usage Rate16.8%37th2462/3918
Points4.439th2394/3918
ShootingOffense▶
Field Goals Made1.536th2493/3918
Field Goals Attempted3.336th2514/3918
Field Goal Percentage44.3%—
Three-Pointers Made0.233rd2630/3918
Effective Field Goal Percentage47.1%—
Three-Pointers Attempted0.527th2878/3918
Three-Point Percentage40%—
Free Throws Made1.259th1598/3918
Free Throws Attempted1.961st1544/3918
True Shooting Percentage52.8%—
Free Throw Percentage66.7%—
Two Pointers Made1.348th2037/3918
Two Pointers Attempted2.952nd1888/3918
Two Point Percentage45%—
Shot ProfileOffense▶
Three-Point Attempt Rate14.3%—
Free Throw Rate55.7%—
Shot LocationsOffense▶
Paint Makes0.578th715/3186
Paint Attempts181st614/3186
Paint Percentage55%—
Mid Range Makes0.290th328/3186
Mid Range Attempts0.373rd849/3186
Mid Range Percentage57.1%—
PlaymakingOffense▶
Assists2.586th555/3918
Turnovers1.150th1975/3918
Assist to Turnover Ratio2.3097th106/3105
Points Created by Assists1.176th647/2747
Rebounding▶
Rebounds1.726th2887/3918
Rebound Rate6.4%23rd2358/3064
ReboundingOffense▶
Offensive Rebounds0.326th2863/3918
ReboundingDefense▶
Defensive Rebounds1.330th2745/3918
DefenseDefense▶
Steals0.442nd2270/3918
Blocks0.258th1660/3918
Personal Fouls1.657th1675/3918
Impact▶
Box Plus-Minus-1.119th2474/3064
Value over Replacement0.117th2520/3064
Player Efficiency Rating12.034th2029/3064
Win Shares0.336th1952/3064
Estimated Wins0.117th2530/3064
Plus Minus1.691st326/3458
Win Shares per 48 Minutes0.0442nd1755/3064
Possessions Played623
Regularized Adjusted Plus-Minus1.1469th691/2231
ImpactOffense▶
Offensive Box Plus-Minus-0.730th2139/3064
Box Creation3.080th621/3064
Assist Percentage25.794th178/3064
Offensive Rebound Percentage2.732nd2074/3064
Turnover Percentage20.919th2470/3064
Offensive Rating104.052nd1466/3064
Offensive Win Shares0.244th1694/3064
Offensive RAPM0.9071st650/2231
ImpactDefense▶
Defensive Box Plus-Minus-0.316th2568/3064
Defensive Rating105.831st2107/3064
Defensive Rebound Percentage9.819th2466/3064
Steal Percentage1.435th1895/3064
Block Percentage1.557th1283/3064
Defensive Win Shares0.128th2210/3064
Defensive RAPM0.2455th1007/2231
On Off▶
Net Rating with Him On-8.131st1445/2112
Net Rating with Him Off-8.175th302/1185
On Off Difference0.050th596/1185
Possessions with Him On209
21 games
DateOppMINPTSFGMFGA3PM3PAFTREBASTSTLBLKTOVPF
UMLMarch 9, 2019@HARTHART35829014-6140012
UMLMarch 5, 2019@UVMUVM23104011-2231013
UMLFeb 27, 2019@MEME361258022-2680040
UMLFeb 23, 2019HARTHART3816614222-2833013
UMLFeb 21, 2019BINGBING7000000-0000011
UMLFeb 16, 2019@UMBCUMBC21413002-3230001
UMLFeb 13, 2019@UALBUALB251036004-5361132
UMLFeb 9, 2019@STBKSTBK23213000-0331025
UMLFeb 6, 2019UNHUNH3017710221-4220112
UMLFeb 2, 2019UVMUVM10212000-0201002
UMLJan 23, 2019@BINGBING8200002-2030104
UMLJan 19, 2019@HARTHART5000000-0010001
UMLJan 16, 2019UALBUALB5422000-0010001
UMLJan 12, 2019UMBCUMBC25911007-8150132
UMLDec 7, 2018UMFKUMFK14003010-0130001
UMLNov 23, 2018MBOSMBOS7211000-2110101
UMLNov 18, 2018@SHUSHU0000000-0000000
UMLNov 16, 2018@BRWNBRWN0000000-0000000
UMLNov 13, 2018@CCSUCCSU7000000-0010010
UMLNov 10, 2018WAGWAG11311001-2121031
UMLNov 6, 2018@MASSMASS20003010-1241022

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.