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College Basketball Research

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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.

SYR

Season

Ranked vs

Side

Scale

Stats

Teammate

Nate Kingz

G2024-25

Of noteNate Kingz ranks 61st of 3223 players in offensive win shares, at 3.4.

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.

Cardsall 10 shown▶

Playing Time▶

Games Played31

Minutes27.676th997/4163

Games Started31

ScoringOffense▶

Usage Rate19.2%56th1848/4163

Points11.882nd751/4163

ShootingOffense▶

Field Goals Made3.979th870/4163

Field Goals Attempted7.873rd1117/4163

Field Goal Percentage50.4%82nd401/2220

Three-Pointers Made1.991st384/4163

Effective Field Goal Percentage62.4%96th80/2220

Three-Pointers Attempted4.283rd702/4163

Three-Point Percentage44.6%98th27/1491

Free Throws Made278th909/4163

Free Throws Attempted2.573rd1140/4163

True Shooting Percentage66.2%98th51/2220

Free Throw Percentage81.8%—

Two Pointers Made2.166th1416/4163

Two Pointers Attempted3.661st1616/4163

Two Point Percentage57.1%—

Shot ProfileOffense▶

Three-Point Attempt Rate53.7%73rd600/2220

Free Throw Rate31.8%54th1011/2220

Shot LocationsOffense▶

Paint Makes1.365th1330/3803

Paint Attempts2.364th1380/3803

Paint Percentage54.9%—

Mid Range Makes0.489th428/3803

Mid Range Attempts0.881st737/3803

Mid Range Percentage54.2%—

PlaymakingOffense▶

Assists1.876th1012/4163

Turnovers0.857th1767/4163

Assist to Turnover Ratio2.2493rd230/3307

Points Created by Assists2.973rd1015/3696

Rebounding▶

Rebounds2.545th2272/4163

Rebound Rate6.4%20th2561/3223

ReboundingOffense▶

Offensive Rebounds0.649th2110/4163

ReboundingDefense▶

Defensive Rebounds1.946th2234/4163

DefenseDefense▶

Steals0.868th1331/4163

Blocks0.577th965/4163

Personal Fouls1.841st2462/4163

Impact▶

Box Plus-Minus7.291st277/3223

Value over Replacement2.491st289/3223

Player Efficiency Rating19.886th443/3223

Win Shares3.795th174/3223

Estimated Wins2.590th311/3223

Plus Minus6.698th80/3842

Win Shares per 48 Minutes0.1794th184/3223

Possessions Played1,373

Regularized Adjusted Plus-Minus3.9690th351/3635

ImpactOffense▶

Offensive Box Plus-Minus6.097th107/3223

Box Creation3.280th649/3223

Assist Percentage12.861st1245/3223

Offensive Rebound Percentage3.537th2026/3223

Turnover Percentage8.393rd221/3223

Offensive Rating133.799th34/3223

Offensive Win Shares3.498th61/3223

Offensive RAPM2.9791st340/3635

ImpactDefense▶

Defensive Box Plus-Minus1.346th1726/3223

Defensive Rating108.832nd2179/3223

Defensive Rebound Percentage9.013th2786/3223

Steal Percentage1.847th1634/3223

Block Percentage2.065th1089/3223

Defensive Win Shares0.340th1919/3223

Defensive RAPM1.0067th1203/3635

On Off▶

Net Rating with Him On-4.135th2334/3579

Possessions with Him On1,220

Game log31 games

Date	Opp	MIN	PTS	FGM	FGA	3PM	3PA	FT	REB	AST	STL	BLK	TOV	PF
March 8, 2025	PEPP	36	18	5	11	4	8	4-7	4	4	1	0	1	2
Feb 26, 2025	SF	23	9	3	5	1	2	2-2	1	0	1	0	1	2
Feb 22, 2025	@USD	32	11	2	9	0	4	7-8	6	3	1	0	1	2
Feb 20, 2025	@PEPP	18	2	1	5	0	4	0-0	2	2	0	0	0	2
Feb 15, 2025	PAC	34	13	4	9	3	5	2-2	3	2	0	0	1	3
Feb 13, 2025	@PORT	31	11	4	8	2	5	1-1	0	0	0	0	2	4
Feb 8, 2025	SMC	27	7	3	9	1	5	0-0	1	0	0	2	1	2
Feb 6, 2025	WSU	32	15	3	6	2	4	7-7	6	5	0	0	0	2
Jan 28, 2025	@GONZ#8	31	11	3	8	2	5	3-4	3	3	1	2	2	1
Jan 25, 2025	SCU	31	16	6	9	1	3	3-3	5	3	0	0	0	1
Jan 23, 2025	PEPP	35	20	8	13	4	8	0-0	1	3	0	1	1	1
Jan 18, 2025	@SF	28	6	2	6	0	2	2-2	1	1	1	0	1	2
Jan 16, 2025	GONZ#8	39	20	6	9	3	4	5-6	4	1	3	2	2	2
Jan 11, 2025	@PAC	32	20	6	11	4	6	4-4	2	2	2	0	0	1
Jan 9, 2025	@SCU	24	5	2	6	1	4	0-0	0	0	1	0	1	4
Jan 4, 2025	USD	29	15	4	7	3	5	4-5	1	1	1	1	1	3
Jan 2, 2025	@LMU	24	7	3	7	1	3	0-2	0	1	0	1	2	1
Dec 30, 2024	PORT	29	15	6	9	1	4	2-2	4	2	2	0	0	0
Dec 25, 2024	@NEB	30	19	7	13	2	5	3-3	3	2	1	1	1	4
Dec 23, 2024	@OAK	19	5	2	4	1	2	0-0	0	3	1	0	1	2
Dec 22, 2024	@COFC	22	10	3	5	1	3	3-4	2	3	0	1	2	3
Dec 17, 2024	SAC	20	10	4	9	2	5	0-0	3	2	0	0	1	0
Dec 14, 2024	UCI	25	3	1	5	1	2	0-0	3	1	1	0	1	2
Dec 7, 2024	IDHO	23	9	3	8	1	2	2-2	1	2	3	0	0	3
Nov 30, 2024	UCD	26	9	3	4	1	2	2-2	2	1	0	0	0	1
Nov 25, 2024	@UNT	29	10	3	5	3	5	1-2	4	0	0	1	1	2
Nov 21, 2024	ORE	21	2	1	4	0	0	0-0	2	0	0	1	0	1
Nov 15, 2024	CSUF	37	22	6	9	6	9	4-7	8	2	1	1	0	0
Nov 12, 2024	WORU	22	18	7	12	2	4	2-2	2	4	4	0	0	0
Nov 8, 2024	WEB	22	16	6	9	4	6	0-0	2	1	0	0	1	2
Nov 4, 2024	UTU	25	11	5	8	1	4	0-0	2	2	0	0	0	2

By seasonPer game2 seasons

Season	GP	MIN	PTS	REB	AST	FG%	3P%	TS%	BPM
2025-26	32	31.3	12.2	3.6	1.3	49.3%	36.7%	61.4%	7.4
2024-25	31	27.6	11.8	2.5	1.8	50.4%	44.6%	66.2%	7.2

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.