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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.

SFBK

Rosel Hurley

Rosel Hurley ranks 2902nd of 3007 players in offensive win shares, at -1.3.

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
Minutes14.431st2549/3720
Games Started7
ScoringOffense▶
Usage Rate23%79th774/3720
Points4.134th2459/3720
ShootingOffense▶
Field Goals Made1.433rd2478/3720
Field Goals Attempted4.241st2190/3720
Field Goal Percentage34.2%—
Three-Pointers Made0.120th2958/3720
Effective Field Goal Percentage34.9%—
Three-Pointers Attempted0.219th3019/3720
Three-Point Percentage25%—
Free Throws Made1.154th1728/3720
Free Throws Attempted1.962nd1417/3720
True Shooting Percentage39.9%—
Free Throw Percentage57.1%—
Two Pointers Made1.448th1930/3720
Two Pointers Attempted463rd1376/3720
Two Point Percentage34.7%—
Shot ProfileOffense▶
Three-Point Attempt Rate5.3%—
Free Throw Rate46.1%—
Shot LocationsOffense▶
Paint Makes0.649th1716/3347
Paint Attempts1.662nd1276/3347
Paint Percentage35.7%—
Mid Range Makes0.488th418/3347
Mid Range Attempts1.391st289/3347
Mid Range Percentage29.2%15th306/359
PlaymakingOffense▶
Assists0.846th2012/3720
Turnovers1.631st2583/3720
Assist to Turnover Ratio0.5217th2557/3075
Points Created by Assists0.942nd1869/3217
Rebounding▶
Rebounds2.235th2403/3720
Rebound Rate9.2%47th1577/3007
ReboundingOffense▶
Offensive Rebounds0.325th2756/3720
ReboundingDefense▶
Defensive Rebounds1.942nd2148/3720
DefenseDefense▶
Steals0.650th1863/3720
Blocks0.120th2963/3720
Personal Fouls1.659th1532/3720
Impact▶
Box Plus-Minus-8.30th3001/3007
Value over Replacement-0.51st2973/3007
Player Efficiency Rating4.21st2969/3007
Win Shares-1.15th2842/3007
Estimated Wins-0.51st2973/3007
Plus Minus-3.27th3184/3409
Win Shares per 48 Minutes-0.171st2969/3007
Possessions Played458
Regularized Adjusted Plus-Minus-3.285th2984/3141
ImpactOffense▶
Offensive Box Plus-Minus-7.50th3002/3007
Box Creation1.340th1813/3007
Assist Percentage10.750th1497/3007
Offensive Rebound Percentage2.733rd1995/3007
Turnover Percentage24.19th2733/3007
Offensive Rating67.80th2992/3007
Offensive Win Shares-1.33rd2902/3007
Offensive RAPM-3.092nd3084/3141
ImpactDefense▶
Defensive Box Plus-Minus-0.810th2698/3007
Defensive Rating100.052nd1432/3007
Defensive Rebound Percentage16.062nd1131/3007
Steal Percentage2.271st800/3007
Block Percentage0.421st2278/3007
Defensive Win Shares0.233rd2010/3007
Defensive RAPM-0.1939th1911/3141
On Off▶
Net Rating with Him On1.051st1500/3082
Net Rating with Him Off9.823rd2066/2699
On Off Difference-8.826th1987/2699
Possessions with Him On309
18 games
DateOppMINPTSFGMFGA3PM3PAFTREBASTSTLBLKTOVPF
SFBKJan 20, 2020@MSMMSM7001000-0001021
SFBKJan 18, 2020@WAGWAG3000000-0100011
SFBKJan 15, 2020LIULIU14314120-0211020
SFBKJan 11, 2020@SFPASFPA17836002-4201001
SFBKJan 9, 2020@RMURMU14625012-4110010
SFBKJan 2, 2020FDUFDU9213000-1013011
SFBKDec 22, 2019DSUDSU9001000-0121011
SFBKDec 14, 2019NJITNJIT16303003-6900010
SFBKDec 10, 2019PRESPRES14501005-6210023
SFBKDec 7, 2019@UMLUML16425000-0010024
SFBKDec 5, 2019@HARTHART5001000-0000011
SFBKNov 30, 2019@SPUSPU19317001-2201012
SFBKNov 26, 2019@LRLR17639010-0310033
SFBKNov 21, 2019MECMEC13737001-2330001
SFBKNov 16, 2019@NCSUNCSU15526001-2101024
SFBKNov 14, 2019@LONGLONG26737001-2720130
SFBKNov 9, 2019LAFLAF28525001-2410022
SFBKNov 5, 2019@FORFOR18935003-4211044
By seasonPer game2 seasons
SeasonGPMINPTSREBASTFG%3P%TS%BPM
2019-20SFBK1814.44.12.20.834.2%25%39.9%-8.3
2018-19SFBK3321.994.11.350.4%27.6%54.3%-0.4

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.