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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.

SF

Saba Gigiberia

Saba Gigiberia sits 3903rd of 4163 players in steals, at 0.1 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 9 shown▶
Playing Time▶
Games Played23
Minutes4.14th4012/4163
Games Started0
ScoringOffense▶
Usage Rate21.5%71st1188/4163
Points1.712th3658/4163
ShootingOffense▶
Field Goals Made0.611th3703/4163
Field Goals Attempted1.18th3840/4163
Field Goal Percentage52.0%—
Three-Pointers Made08th3498/4163
Effective Field Goal Percentage52.0%—
Three-Pointers Attempted011th3700/4163
Three-Point Percentage0.0%—
Free Throws Made0.631st2891/4163
Free Throws Attempted1.242nd2420/4163
True Shooting Percentage52.9%—
Free Throw Percentage48.1%—
Two Pointers Made0.621st3287/4163
Two Pointers Attempted119th3372/4163
Two Point Percentage54.2%—
Shot ProfileOffense▶
Three-Point Attempt Rate4.0%—
Free Throw Rate108.0%—
Shot LocationsOffense▶
Paint Makes0.16th3562/3803
Paint Attempts0.26th3555/3803
Paint Percentage40.0%—
Mid Range Makes014th2705/3803
Mid Range Attempts06th3368/3803
PlaymakingOffense▶
Assists0.314th3584/4163
Turnovers0.295th223/4163
Assist to Turnover Ratio1.50—
Rebounding▶
Rebounds1.828th2986/4163
ReboundingOffense▶
Offensive Rebounds0.860th1662/4163
ReboundingDefense▶
Defensive Rebounds119th3373/4163
DefenseDefense▶
Steals0.16th3903/4163
Blocks0.253rd1949/4163
Personal Fouls0.788th512/4163
Impact▶
Plus Minus-049th1960/3842
23 games
DateOppMINPTSFGMFGA3PM3PAFTREBASTSTLBLKTOVPF
SFMarch 23, 2025LUCLUC3001010-0110000
SFMarch 19, 2025UVUUVU1000000-0000000
SFMarch 10, 2025@GONZGONZ#813633000-2110002
SFMarch 9, 2025WSUWSU5426000-1700102
SFMarch 1, 2025GONZGONZ#87425000-0300013
SFFeb 26, 2025@ORSTORST171033004-5701112
SFFeb 15, 2025@USDUSD3200002-2020100
SFFeb 1, 2025WSUWSU2200002-2100000
SFJan 23, 2025@SMCSMC2000000-0000000
SFJan 18, 2025ORSTORST1000000-0000012
SFJan 16, 2025@PEPPPEPP2000000-0010001
SFJan 4, 2025@WSUWSU4213000-0100010
SFJan 2, 2025@PACPAC3001000-0010001
SFDec 30, 2024SCUSCU4000000-0400000
SFDec 21, 2024MONTMONT8300003-8501102
SFDec 11, 2024CSUSCSUS3001000-2200100
SFDec 1, 2024MERCMERC2211000-0100000
SFNov 26, 2024@FORFOR1000000-0100000
SFNov 25, 2024CLEMCLEM1000000-0000000
SFNov 21, 2024MEMMEM6211000-1200001
SFNov 16, 2024CHSTCHST2100001-2200000
SFNov 13, 2024LBSULBSU3000000-0200000
SFNov 9, 2024BOISBOIS2100001-2100001
By seasonPer game5 seasons
SeasonGPMINPTSREBASTFG%3P%TS%BPM
2025-26SF276.12.12.60.644.6%0.0%43.9%—
2024-25SF234.11.71.80.352.0%0.0%52.9%—
2022-23SF319.84.33.30.650.0%25.0%53.5%1.4
2021-22GT157.92.52.30.748.5%—50.8%—
2020-21GT93.711.60.236.4%50.0%39.3%—

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.