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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.

UNLV

Naas Cunningham

Naas Cunningham places 3608th of 4184 players in rebounds, at 1.1 per game.

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 Played21
Minutes13.431st2907/4184
Games Started0
ScoringOffense▶
Usage Rate20.8%68th1358/4184
Points541st2485/4184
ShootingOffense▶
Field Goals Made1.535th2703/4184
Field Goals Attempted4.546th2267/4184
Field Goal Percentage33.7%—
Three-Pointers Made0.549th2117/4184
Effective Field Goal Percentage39.5%—
Three-Pointers Attempted2.258th1765/4184
Three-Point Percentage23.4%—
Free Throws Made1.460th1674/4184
Free Throws Attempted1.755th1893/4184
True Shooting Percentage46.9%—
Free Throw Percentage80.6%—
Two Pointers Made138th2581/4184
Two Pointers Attempted2.343rd2404/4184
Two Point Percentage43.8%—
Shot ProfileOffense▶
Three-Point Attempt Rate49.5%—
Free Throw Rate37.9%—
Shot LocationsOffense▶
Paint Makes0.635th2487/3850
Paint Attempts1.238th2374/3850
Paint Percentage48.0%—
Mid Range Makes0.277th892/3850
Mid Range Attempts0.882nd685/3850
Mid Range Percentage29.4%—
PlaymakingOffense▶
Assists0.843rd2387/4184
Turnovers0.672nd1187/4184
Assist to Turnover Ratio1.4264th1202/3361
Points Created by Assists1.648th1969/3757
Rebounding▶
Rebounds1.114th3608/4184
Rebound Rate5.5%11th2893/3278
ReboundingOffense▶
Offensive Rebounds0.318th3413/4184
ReboundingDefense▶
Defensive Rebounds0.915th3536/4184
DefenseDefense▶
Steals0.542nd2408/4184
Blocks0.131st2878/4184
Personal Fouls0.985th606/4184
Impact▶
Box Plus-Minus-0.326th2417/3278
Value over Replacement0.120th2627/3278
Player Efficiency Rating10.721st2580/3278
Win Shares-0.118th2670/3278
Estimated Wins0.220th2632/3278
Plus Minus0.560th1547/3879
Win Shares per 48 Minutes-0.0216th2755/3278
Possessions Played490
Regularized Adjusted Plus-Minus0.6150th1850/3669
ImpactOffense▶
Offensive Box Plus-Minus-0.436th2098/3278
Box Creation1.747th1721/3278
Assist Percentage10.748th1682/3278
Offensive Rebound Percentage2.725th2429/3278
Turnover Percentage9.884th532/3278
Offensive Rating101.724th2474/3278
Offensive Win Shares-0.128th2351/3278
Offensive RAPM2.1681st694/3669
ImpactDefense▶
Defensive Box Plus-Minus0.123rd2529/3278
Defensive Rating113.819th2662/3278
Defensive Rebound Percentage8.310th2958/3278
Steal Percentage2.059th1267/3278
Block Percentage0.836th2030/3278
Defensive Win Shares-0.019th2639/3278
Defensive RAPM-1.5515th3109/3669
On Off▶
Net Rating with Him On2.357th1538/3623
Net Rating with Him Off-1.154th1611/3520
On Off Difference3.460th1423/3520
Possessions with Him On472
21 games
DateOppMINPTSFGMFGA3PM3PAFTREBASTSTLBLKTOVPF
UNLVMarch 22, 2026@TLSATLSA3001000-0000000
UNLVFeb 25, 2026@GCUGCU2000000-0000000
UNLVFeb 21, 2026@AFAF2311110-0000000
UNLVFeb 10, 2026SJSUSJSU2000000-0000011
UNLVFeb 7, 2026GCUGCU27316031-1231021
UNLVFeb 3, 2026@FRESFRES7401004-4011024
UNLVJan 30, 2026@NEVNEV2513511241-2420001
UNLVJan 27, 2026UNMUNM11934122-2111000
UNLVJan 9, 2026@CSUCSU11003010-0001010
UNLVJan 6, 2026@WYOWYO7001000-0100000
UNLVDec 29, 2025LSIULSIU20217040-0222202
UNLVDec 20, 2025FRESFRES2001010-0000000
UNLVDec 13, 2025TNSTTNST13213010-0101000
UNLVDec 7, 2025@STANSTAN20525130-0000003
UNLVNov 27, 2025@RUTGRUTG22725241-2401011
UNLVNov 24, 2025@MDMD5414012-2000000
UNLVNov 20, 2025JOESJOES11304023-3201000
UNLVNov 16, 2025@MEMMEM17417052-2000000
UNLVNov 11, 2025MONTMONT231338037-8331012
UNLVNov 8, 2025UTCUTC3025814376-10330000
UNLVNov 4, 2025UTMUTM21739150-0120043

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.