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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.

WCU

Abdulai Fanta Kabba

Abdulai Fanta Kabba is 4146th of 4163 players in personal fouls, at 3.4 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 Played17
Minutes17.342nd2404/4163
Games Started15
ScoringOffense▶
Usage Rate15.9%32nd2817/4163
Points4.437th2642/4163
ShootingOffense▶
Field Goals Made246th2246/4163
Field Goals Attempted3.232nd2809/4163
Field Goal Percentage63.0%—
Three-Pointers Made08th3498/4163
Effective Field Goal Percentage63.0%—
Three-Pointers Attempted04th3809/4163
Free Throws Made0.423rd3221/4163
Free Throws Attempted1.655th1852/4163
True Shooting Percentage56.5%—
Free Throw Percentage25.0%—
Two Pointers Made265th1462/4163
Two Pointers Attempted3.255th1865/4163
Two Point Percentage63.0%—
Shot ProfileOffense▶
Three-Point Attempt Rate0.0%—
Free Throw Rate51.9%—
Shot LocationsOffense▶
Paint Makes0.320th3048/3803
Paint Attempts0.412th3355/3803
Paint Percentage83.3%—
Mid Range Makes014th2705/3803
Mid Range Attempts0.120th3046/3803
Mid Range Percentage0.0%—
PlaymakingOffense▶
Assists0.530th2933/4163
Turnovers1.333rd2770/4163
Assist to Turnover Ratio0.415th3131/3307
Points Created by Assists0.38th3386/3696
Rebounding▶
Rebounds4.681st790/4163
Rebound Rate18.8%96th115/3223
ReboundingOffense▶
Offensive Rebounds1.378th920/4163
ReboundingDefense▶
Defensive Rebounds3.481st805/4163
DefenseDefense▶
Steals0.657th1798/4163
Blocks1.296th163/4163
Personal Fouls3.40th4146/4163
Impact▶
Box Plus-Minus-0.324th2451/3223
Value over Replacement0.118th2630/3223
Player Efficiency Rating13.240th1946/3223
Win Shares-0.119th2602/3223
Estimated Wins0.118th2640/3223
Plus Minus1.371st1105/3842
Win Shares per 48 Minutes-0.0117th2676/3223
Possessions Played502
Regularized Adjusted Plus-Minus1.0158th1514/3635
ImpactOffense▶
Offensive Box Plus-Minus-4.14th3079/3223
Box Creation0.815th2724/3223
Assist Percentage5.915th2720/3223
Offensive Rebound Percentage10.183rd556/3223
Turnover Percentage24.94th3101/3223
Offensive Rating91.38th2950/3223
Offensive Win Shares-0.418th2637/3223
Offensive RAPM-0.1543rd2089/3635
ImpactDefense▶
Defensive Box Plus-Minus3.890th320/3223
Defensive Rating104.165th1128/3223
Defensive Rebound Percentage28.199th42/3223
Steal Percentage2.265th1054/3223
Block Percentage8.798th64/3223
Defensive Win Shares0.340th1919/3223
Defensive RAPM1.1570th1106/3635
On Off▶
Net Rating with Him On-8.922nd2801/3579
Net Rating with Him Off-18.993rd243/3443
On Off Difference10.075th847/3443
Possessions with Him On113
17 games
DateOppMINPTSFGMFGA3PM3PAFTREBASTSTLBLKTOVPF
DENMarch 6, 2025@STMNSTMN11311001-3310110
DENMarch 1, 2025SDSTSDST9000000-2201004
DENFeb 27, 2025@KCKC18422000-0710135
DENFeb 19, 2025ORUORU18423000-1612313
DENFeb 15, 2025@NDSUNDSU16313001-2600015
DENFeb 13, 2025@UNDUND31834002-7701324
DENFeb 8, 2025STMNSTMN16000000-0211233
DENFeb 6, 2025SDAKSDAK18633000-0300305
DENFeb 1, 2025@OMAOMA19314001-2111003
DENJan 30, 2025KCKC211056000-0410114
DENJan 23, 2025@ORUORU221057000-0612103
DENJan 18, 2025@STMNSTMN15212000-0510022
DENJan 15, 2025OMAOMA191045002-7802203
DENJan 11, 2025NDSUNDSU11001000-2301025
DENJan 9, 2025UNDUND19425000-01010234
DENJan 4, 2025@SDAKSDAK17425000-2400233
DENJan 2, 2025@SDSTSDST14423000-0200001
By seasonPer game2 seasons
SeasonGPMINPTSREBASTFG%3P%TS%BPM
2025-26WCU2917.34.75.80.467.4%—62.8%2.0
2024-25DEN1717.34.44.60.563.0%—56.5%-0.3

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.