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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.

FAIR

Matija Milin

Matija Milin ranks 2925th of 3064 players in defensive rating, at 113.2.

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 Played26
Minutes13.733rd2638/3918
Games Started7
ScoringOffense▶
Usage Rate23.5%82nd714/3918
Points4.943rd2238/3918
ShootingOffense▶
Field Goals Made1.844th2199/3918
Field Goals Attempted3.335th2541/3918
Field Goal Percentage55.3%—
Three-Pointers Made0.445th2160/3918
Effective Field Goal Percentage61.2%—
Three-Pointers Attempted0.938th2446/3918
Three-Point Percentage41.7%—
Free Throws Made0.948th2039/3918
Free Throws Attempted1.449th1991/3918
True Shooting Percentage63.2%—
Free Throw Percentage64.9%—
Two Pointers Made1.452nd1872/3918
Two Pointers Attempted2.344th2200/3918
Two Point Percentage60.7%—
Shot ProfileOffense▶
Three-Point Attempt Rate28.2%—
Free Throw Rate43.5%—
Shot LocationsOffense▶
Paint Makes0.139th1948/3186
Paint Attempts0.126th2362/3186
Paint Percentage100%—
Mid Range Makes023rd1712/3186
Mid Range Attempts022nd2483/3186
Mid Range Percentage0%—
PlaymakingOffense▶
Assists0.637th2481/3918
Turnovers0.770th1179/3918
Assist to Turnover Ratio0.8943rd1770/3105
Points Created by Assists0.17th2558/2747
Rebounding▶
Rebounds355th1735/3918
Rebound Rate12.6%71st892/3064
ReboundingOffense▶
Offensive Rebounds1.276th934/3918
ReboundingDefense▶
Defensive Rebounds1.843rd2227/3918
DefenseDefense▶
Steals0.222nd3045/3918
Blocks0.137th2461/3918
Personal Fouls1.562nd1472/3918
Impact▶
Box Plus-Minus2.556th1350/3064
Value over Replacement0.644th1722/3064
Player Efficiency Rating20.186th418/3064
Win Shares0.644th1714/3064
Estimated Wins0.743rd1754/3064
Plus Minus0.370th1035/3458
Win Shares per 48 Minutes0.0655th1362/3064
Possessions Played697
ImpactOffense▶
Offensive Box Plus-Minus2.268th972/3064
Box Creation1.130th2145/3064
Assist Percentage9.039th1871/3064
Offensive Rebound Percentage9.280th619/3064
Turnover Percentage15.157th1311/3064
Offensive Rating116.488th382/3064
Offensive Win Shares1.069th959/3064
ImpactDefense▶
Defensive Box Plus-Minus0.329th2172/3064
Defensive Rating113.24th2925/3064
Defensive Rebound Percentage16.665th1049/3064
Steal Percentage0.911th2669/3064
Block Percentage0.838th1837/3064
Defensive Win Shares-0.48th2823/3064
26 games
DateOppMINPTSFGMFGA3PM3PAFTREBASTSTLBLKTOVPF
FAIRMarch 7, 2019@MANMAN19726122-4500013
FAIRMarch 3, 2019@SPUSPU24735120-0410024
FAIRMarch 1, 2019MRSTMRST311258230-0431124
FAIRFeb 24, 2019MANMAN311458123-6410023
FAIRFeb 17, 2019@NIANIA18734110-0300013
FAIRFeb 15, 2019@CANCAN28526031-2901113
FAIRFeb 9, 2019MONMMONM18625032-2740002
FAIRFeb 2, 2019@MRSTMRST1000000-0000000
FAIRJan 31, 2019@MANMAN11411002-5200100
FAIRJan 27, 2019IONAIONA9313001-2410011
FAIRJan 24, 2019SIESIE7212010-0500011
FAIRJan 19, 2019CANCAN14513003-5201012
FAIRJan 13, 2019@QUINQUIN9423000-0000002
FAIRJan 10, 2019SPUSPU13313120-0010002
FAIRJan 7, 2019NIANIA1000000-0100000
FAIRJan 5, 2019@IONAIONA5211000-0200000
FAIRJan 3, 2019RIDRID3000000-0220000
FAIRDec 9, 2018@ODUODU11512003-3401021
FAIRDec 6, 2018OAKOAK13723112-2210012
FAIRDec 1, 2018@ARMYARMY4000000-0000000
FAIRNov 25, 2018DENDEN14522110-0210001
FAIRNov 24, 2018@SEASEA11414012-2200002
FAIRNov 23, 2018@LONGLONG4000000-0100010
FAIRNov 13, 2018LIULIU231668123-3811022
FAIRNov 10, 2018@BUCKBUCK16212000-0200000
FAIRNov 6, 2018@PURPUR#919846000-1301001

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.