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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.

SFA

Diego Willis

Diego Willis is 3912th of 4069 players in two pointers made, 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 7 shown▶
Playing Time▶
Games Played24
Minutes8.818th3355/4069
Games Started5
ScoringOffense▶
Usage Rate13.5%15th3445/4069
Points217th3374/4069
ShootingOffense▶
Field Goals Made0.714th3474/4069
Field Goals Attempted220th3263/4069
Field Goal Percentage32.7%—
Three-Pointers Made0.552nd1939/4069
Effective Field Goal Percentage45.9%—
Three-Pointers Attempted1.852nd1956/4069
Three-Point Percentage31%—
Free Throws Made0.210th3661/4069
Free Throws Attempted0.38th3728/4069
True Shooting Percentage47.4%—
Free Throw Percentage66.7%—
Two Pointers Made0.14th3912/4069
Two Pointers Attempted0.33rd3943/4069
Two Point Percentage42.9%—
Shot ProfileOffense▶
Three-Point Attempt Rate85.7%—
Free Throw Rate12.2%—
PlaymakingOffense▶
Assists0.422nd3154/4069
Turnovers0.393rd284/4069
Assist to Turnover Ratio1.50—
Rebounding▶
Rebounds0.77th3785/4069
ReboundingOffense▶
Offensive Rebounds0.19th3707/4069
ReboundingDefense▶
Defensive Rebounds0.69th3684/4069
DefenseDefense▶
Steals0.326th2999/4069
Blocks07th3530/4069
Personal Fouls0.886th576/4069
24 games
DateOppMINPTSFGMFGA3PM3PAFTREBASTSTLBLKTOVPF
SFAMarch 10, 2022ACUACU4001010-0100020
SFAMarch 5, 2022@RGVRGV3001010-0010001
SFAFeb 24, 2022SHSUSHSU17001010-1120001
SFAFeb 19, 2022@LAMLAM13313120-0100000
SFAFeb 16, 2022CHSTCHST16933330-0101010
SFAFeb 10, 2022@CHSTCHST15314130-0302001
SFAFeb 5, 2022UTUUTU11001010-0011000
SFAFeb 3, 2022UVUUVU3000000-0000000
SFAJan 29, 2022@CBUCBU5100001-2001000
SFAJan 26, 2022@SEASEA1000000-0100000
SFAJan 22, 2022NMSUNMSU20314130-0101002
SFAJan 20, 2022GCUGCU15314140-0010024
SFAJan 17, 2022LAMLAM23837250-0221003
SFAJan 15, 2022@SHSUSHSU13004040-0110010
SFAJan 11, 2022RGVRGV2511112-2000001
SFAJan 8, 2022@TARTAR1000000-0000001
SFAJan 6, 2022@ACUACU5212010-0000001
SFADec 11, 2021LIBLIB6001010-0100000
SFADec 4, 2021WILYWILY13313021-1000002
SFADec 1, 2021LNCALNCA9623230-0100001
SFANov 28, 2021@NWSTNWST6314140-0200000
SFANov 19, 2021MTSUMTSU1000000-0100000
SFANov 11, 2021MHBMHB6002020-0010000
SFANov 9, 2021LSUALSUA2000000-0000000
By seasonPer game4 seasons
SeasonGPMINPTSREBASTFG%3P%TS%BPM
2021-22SFA248.820.70.432.7%31%47.4%—
2020-21NJIT1821.96.33.30.934.4%25.8%49.9%—
2019-20NJIT3014.53.51.80.833%28%46.2%0.6
2018-19NJIT289.71.91.50.632.2%31%43.1%0.6

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.