Every player
New here?

How to read this page

▶

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.

WYO

Simm-Marten Saadi

Simm-Marten Saadi places 3582nd of 4184 players in steals, at 0.2 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 8 shown▶
Playing Time▶
Games Played32
Minutes8.616th3523/4184
Games Started3
ScoringOffense▶
Usage Rate22.4%76th998/4184
Points3.225th3127/4184
ShootingOffense▶
Field Goals Made1.125th3128/4184
Field Goals Attempted3.232nd2838/4184
Field Goal Percentage35%—
Three-Pointers Made0.860th1680/4184
Effective Field Goal Percentage46.6%—
Three-Pointers Attempted2.461st1632/4184
Three-Point Percentage30.8%—
Free Throws Made0.28th3856/4184
Free Throws Attempted0.24th4008/4184
True Shooting Percentage48%—
Free Throw Percentage100%—
Two Pointers Made0.412th3662/4184
Two Pointers Attempted0.813th3650/4184
Two Point Percentage48%—
Shot ProfileOffense▶
Three-Point Attempt Rate75.7%—
Free Throw Rate4.9%—
PlaymakingOffense▶
Assists0.315th3560/4184
Turnovers0.576th982/4184
Assist to Turnover Ratio0.56—
Rebounding▶
Rebounds1.112th3673/4184
Rebound Rate8.4%40th1961/3278
ReboundingOffense▶
Offensive Rebounds0.323rd3215/4184
ReboundingDefense▶
Defensive Rebounds0.712th3681/4184
DefenseDefense▶
Steals0.214th3582/4184
Blocks0.249th2137/4184
Personal Fouls1.561st1631/4184
Impact▶
Box Plus-Minus-1.715th2784/3278
Value over Replacement0.014th2807/3278
Player Efficiency Rating8.28th3009/3278
Win Shares-0.118th2676/3278
Estimated Wins0.014th2807/3278
Win Shares per 48 Minutes-0.0215th2772/3278
Possessions Played452
ImpactOffense▶
Offensive Box Plus-Minus-2.018th2691/3278
Box Creation1.436th2098/3278
Assist Percentage6.318th2683/3278
Offensive Rebound Percentage5.353rd1539/3278
Turnover Percentage13.355th1477/3278
Offensive Rating98.417th2714/3278
Offensive Win Shares-0.323rd2505/3278
ImpactDefense▶
Defensive Box Plus-Minus0.326th2423/3278
Defensive Rating110.636th2090/3278
Defensive Rebound Percentage11.632nd2211/3278
Steal Percentage1.323rd2452/3278
Block Percentage2.268th1024/3278
Defensive Win Shares0.127th2380/3278
32 games
DateOppMINPTSFGMFGA3PM3PAFTREBASTSTLBLKTOVPF
WYOMarch 17, 2026@WICHWICH5001010-0000102
WYOMarch 11, 2026@UNLVUNLV3002020-0100001
WYOMarch 7, 2026@SJSUSJSU111045230-0100001
WYOMarch 3, 2026NEVNEV7003030-0020010
WYOFeb 28, 2026AFAF13949140-0300014
WYOFeb 24, 2026@BOISBOIS19626250-0302112
WYOFeb 21, 2026@GCUGCU151359370-0410033
WYOFeb 17, 2026FRESFRES9002020-0100102
WYOFeb 14, 2026@CSUCSU13313120-0100012
WYOFeb 7, 2026USUUSU15525140-0110100
WYOFeb 3, 2026@SDSUSDSU13312120-0200003
WYOJan 31, 2026CSUCSU6003020-0101000
WYOJan 28, 2026@USUUSU8312120-0101000
WYOJan 24, 2026SJSUSJSU3000000-0000020
WYOJan 20, 2026BOISBOIS21312120-0101112
WYOJan 17, 2026@FRESFRES2000000-0100001
WYOJan 10, 2026@NEVNEV3000000-0000001
WYOJan 6, 2026UNLVUNLV11314130-0200010
WYOJan 3, 2026@UNMUNM5311110-0010002
WYODec 30, 2025@AFAF6003020-0000002
WYODec 20, 2025GCUGCU2001010-0000002
WYODec 15, 2025@SDSTSDST11626250-0101002
WYODec 9, 2025SDAKSDAK3312120-0110000
WYODec 6, 2025DARTDART11835240-0010102
WYONov 30, 2025@TTUTTU#167302023-3000002
WYONov 26, 2025DENDEN5002010-0000012
WYONov 23, 2025NORFNORF16212000-0400001
WYONov 19, 2025@SHSUSHSU5313120-0000011
WYONov 15, 2025PORTPORT11837260-0210012
WYONov 11, 2025APSUAPSU3213010-0100000
WYONov 8, 2025CSUFCSUF8517162-2110013
WYONov 3, 2025NSUNSU5001010-0100013

About College Basketball Research

▶

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.