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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.

UL

Jeremy Hayes

Jeremy Hayes is 2872nd of 3064 players in defensive rebound percentage, at 7.6.

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 9 shown▶
Playing Time▶
Games Played30
Minutes11.425th2932/3918
Games Started3
ScoringOffense▶
Usage Rate19.5%58th1652/3918
Points436th2512/3918
ShootingOffense▶
Field Goals Made1.332nd2670/3918
Field Goals Attempted3.436th2493/3918
Field Goal Percentage37.3%—
Three-Pointers Made0.549th1978/3918
Effective Field Goal Percentage44.1%—
Three-Pointers Attempted1.650th1954/3918
Three-Point Percentage29.8%—
Free Throws Made153rd1847/3918
Free Throws Attempted1.553rd1851/3918
True Shooting Percentage49.5%—
Free Throw Percentage67.4%—
Two Pointers Made0.832nd2675/3918
Two Pointers Attempted1.834th2574/3918
Two Point Percentage43.6%—
Shot ProfileOffense▶
Three-Point Attempt Rate46.1%—
Free Throw Rate45.1%—
Shot LocationsOffense▶
Paint Makes016th2677/3186
Paint Attempts0.234th2081/3186
Paint Percentage20%—
Mid Range Makes023rd1712/3186
Mid Range Attempts019th2556/3186
Mid Range Percentage0%—
PlaymakingOffense▶
Assists0.529th2793/3918
Turnovers0.961st1538/3918
Assist to Turnover Ratio0.5418th2540/3105
Points Created by Assists0.111th2426/2747
Rebounding▶
Rebounds1.115th3316/3918
Rebound Rate5.7%15th2601/3064
ReboundingOffense▶
Offensive Rebounds0.433rd2613/3918
ReboundingDefense▶
Defensive Rebounds0.713th3412/3918
DefenseDefense▶
Steals0.222nd3032/3918
Blocks017th3241/3918
Personal Fouls1.275th982/3918
Impact▶
Box Plus-Minus-3.56th2893/3064
Value over Replacement-0.17th2845/3064
Player Efficiency Rating7.78th2811/3064
Win Shares-0.710th2745/3064
Estimated Wins-0.27th2848/3064
Plus Minus0.370th1037/3458
Win Shares per 48 Minutes-0.086th2890/3064
Possessions Played636
ImpactOffense▶
Offensive Box Plus-Minus-2.115th2588/3064
Box Creation1.235th1978/3064
Assist Percentage7.025th2297/3064
Offensive Rebound Percentage4.047th1626/3064
Turnover Percentage17.539th1871/3064
Offensive Rating90.714th2622/3064
Offensive Win Shares-0.419th2470/3064
ImpactDefense▶
Defensive Box Plus-Minus-1.36th2890/3064
Defensive Rating112.56th2888/3064
Defensive Rebound Percentage7.66th2872/3064
Steal Percentage1.119th2400/3064
Block Percentage0.317th2472/3064
Defensive Win Shares-0.312th2693/3064
30 games
DateOppMINPTSFGMFGA3PM3PAFTREBASTSTLBLKTOVPF
ULMarch 9, 2019@ARSTARST6100001-2011000
ULMarch 7, 2019@LRLR4002010-0000000
ULMarch 3, 2019APPAPP4001000-0000002
ULFeb 28, 2019CCUCCU2001010-0000000
ULFeb 23, 2019@TXSTTXST4000000-0000000
ULFeb 21, 2019@UTAUTA2001010-0000001
ULFeb 16, 2019ULMULM7201012-2100002
ULFeb 8, 2019GASTGAST3000000-0100010
ULFeb 6, 2019GASOGASO13625230-0001000
ULFeb 2, 2019@CCUCCU10524120-0001000
ULJan 31, 2019@APPAPP221237135-5420010
ULJan 26, 2019TROYTROY3201002-2001000
ULJan 19, 2019@ULMULM5000000-0010011
ULJan 12, 2019@GASOGASO13416131-2300000
ULJan 10, 2019@GASTGAST12313120-0100013
ULJan 5, 2019LRLR29527031-3510124
ULJan 3, 2019ARSTARST20314011-2201023
ULDec 29, 2018@SELASELA10312110-0010012
ULDec 18, 2018@MCNMCN10003010-2300001
ULDec 15, 2018LTLT18315130-0300041
ULDec 11, 2018PVPV131035133-3120023
ULDec 5, 2018LNOLNO2118410139-11110033
ULDec 1, 2018SOUSOU14624012-3000002
ULNov 28, 2018@UNOUNO5100001-2000020
ULNov 21, 2018@TULNTULN18313130-0110012
ULNov 20, 2018TOLTOL10000000-0330023
ULNov 19, 2018CSUCSU161147132-3111002
ULNov 16, 2018@KUKU#1711213010-0100020
ULNov 9, 2018@TENNTENN#1016527140-2001010
ULNov 6, 2018UVIUVI2116710131-2200000

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.