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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.

UTM

Fatodd Lewis

Fatodd Lewis sits 429th of 3064 players in offensive rebound percentage, at 10.5.

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 Played18
Minutes26.170th1176/3918
Games Started7
ScoringOffense▶
Usage Rate21.1%70th1192/3918
Points10.677th902/3918
ShootingOffense▶
Field Goals Made3.979th806/3918
Field Goals Attempted8.779th825/3918
Field Goal Percentage45.2%63rd658/1753
Three-Pointers Made0.758th1638/3918
Effective Field Goal Percentage49%36th1127/1753
Three-Pointers Attempted2.766th1331/3918
Three-Point Percentage25%—
Free Throws Made2.179th829/3918
Free Throws Attempted3.384th628/3918
True Shooting Percentage52.2%29th1252/1753
Free Throw Percentage62.7%17th1073/1296
Two Pointers Made3.386th560/3918
Two Pointers Attempted6.183rd650/3918
Two Point Percentage54.1%67th306/924
Shot ProfileOffense▶
Three-Point Attempt Rate30.6%32nd1190/1753
Free Throw Rate37.6%69th538/1753
Shot LocationsOffense▶
Paint Makes0.255th1413/3186
Paint Attempts0.353rd1479/3186
Paint Percentage66.7%—
Mid Range Makes0.181st588/3186
Mid Range Attempts0.476th755/3186
Mid Range Percentage28.6%—
PlaymakingOffense▶
Assists1.155th1745/3918
Turnovers1.724th2978/3918
Assist to Turnover Ratio0.6123rd2393/3105
Points Created by Assists0.972nd766/2747
Rebounding▶
Rebounds5.688th479/3918
Rebound Rate13.4%76th734/3064
ReboundingOffense▶
Offensive Rebounds2.294th226/3918
ReboundingDefense▶
Defensive Rebounds3.378th843/3918
DefenseDefense▶
Steals0.874th1028/3918
Blocks0.476th945/3918
Personal Fouls1.755th1750/3918
Impact▶
Box Plus-Minus-0.127th2230/3064
Value over Replacement0.325th2275/3064
Player Efficiency Rating16.668th981/3064
Win Shares-0.122nd2378/3064
Estimated Wins0.325th2299/3064
Plus Minus058th1416/3458
Win Shares per 48 Minutes-0.0122nd2400/3064
Possessions Played827
Regularized Adjusted Plus-Minus1.1569th686/2231
ImpactOffense▶
Offensive Box Plus-Minus1.560th1224/3064
Box Creation1.649th1571/3064
Assist Percentage7.629th2160/3064
Offensive Rebound Percentage10.586th429/3064
Turnover Percentage14.562nd1140/3064
Offensive Rating101.844th1711/3064
Offensive Win Shares0.244th1722/3064
Offensive RAPM-0.5530th1555/2231
ImpactDefense▶
Defensive Box Plus-Minus-1.73rd2966/3064
Defensive Rating112.36th2880/3064
Defensive Rebound Percentage16.565th1073/3064
Steal Percentage1.856th1252/3064
Block Percentage1.964th1072/3064
Defensive Win Shares-0.39th2769/3064
Defensive RAPM1.7088th276/2231
On Off▶
Net Rating with Him On26.595th103/2112
Net Rating with Him Off-12.883rd205/1185
On Off Difference39.399th17/1185
Possessions with Him On197
18 games
DateOppMINPTSFGMFGA3PM3PAFTREBASTSTLBLKTOVPF
UTMJan 26, 2019SIUESIUE3910411141-2835002
UTMJan 24, 2019EIUEIU32628131-2811312
UTMJan 19, 2019@MOREMORE221159021-1400022
UTMJan 17, 2019@EKUEKU3214712010-0710042
UTMJan 12, 2019APSUAPSU251034123-4811021
UTMJan 10, 2019MURMUR14001000-2200022
UTMJan 5, 2019@SEMOSEMO3619615166-8920222
UTMJan 3, 2019@EIUEIU3114510133-5911024
UTMDec 22, 2018@FRESFRES161256220-0200031
UTMDec 18, 2018UTCUTC26938013-5401113
UTMDec 15, 2018BRESBRES212379118-11910010
UTMDec 8, 2018@ETSUETSU20428040-1500020
UTMDec 5, 2018@TULNTULN2520816153-5400100
UTMDec 1, 2018UNCAUNCA18527011-2422002
UTMNov 21, 2018WIUWIU2811310025-7232021
UTMNov 16, 2018@MERMER21426020-0500032
UTMNov 10, 2018@WKUWKU32526130-1401123
UTMNov 6, 2018CMBLCMBL3214511262-3641021

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.