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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.

LMU

Rick Issanza

In assists, Rick Issanza is 3776th of 4163 players, 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 Played26
Minutes14.534th2729/4163
Games Started17
ScoringOffense▶
Usage Rate10.5%5th3945/4163
Points325th3102/4163
ShootingOffense▶
Field Goals Made1.330th2914/4163
Field Goals Attempted1.918th3407/4163
Field Goal Percentage68.0%—
Three-Pointers Made08th3498/4163
Effective Field Goal Percentage68.0%—
Three-Pointers Attempted04th3809/4163
Free Throws Made0.421st3289/4163
Free Throws Attempted0.830th2913/4163
True Shooting Percentage65.3%—
Free Throw Percentage45.5%—
Two Pointers Made1.347th2201/4163
Two Pointers Attempted1.936th2673/4163
Two Point Percentage68.0%—
Shot ProfileOffense▶
Three-Point Attempt Rate0.0%—
Free Throw Rate44.0%—
PlaymakingOffense▶
Assists0.29th3776/4163
Turnovers0.671st1203/4163
Assist to Turnover Ratio0.333rd3200/3307
Rebounding▶
Rebounds3.157th1773/4163
Rebound Rate12.9%74th821/3223
ReboundingOffense▶
Offensive Rebounds168th1307/4163
ReboundingDefense▶
Defensive Rebounds2.152nd1997/4163
DefenseDefense▶
Steals0.219th3369/4163
Blocks1.194th236/4163
Personal Fouls1.367th1380/4163
Impact▶
Box Plus-Minus2.454th1478/3223
Value over Replacement0.537th2029/3223
Player Efficiency Rating13.744th1796/3223
Win Shares0.743rd1826/3223
Estimated Wins0.537th2030/3223
Win Shares per 48 Minutes0.0759th1322/3223
Possessions Played642
ImpactOffense▶
Offensive Box Plus-Minus-1.127th2363/3223
Box Creation0.33rd3113/3223
Assist Percentage2.41st3175/3223
Offensive Rebound Percentage8.676th778/3223
Turnover Percentage20.114th2755/3223
Offensive Rating111.262nd1233/3223
Offensive Win Shares0.343rd1836/3223
ImpactDefense▶
Defensive Box Plus-Minus3.587th415/3223
Defensive Rating103.369th983/3223
Defensive Rebound Percentage17.171st920/3223
Steal Percentage0.97th2935/3223
Block Percentage7.797th104/3223
Defensive Win Shares0.449th1619/3223
26 games
DateOppMINPTSFGMFGA3PM3PAFTREBASTSTLBLKTOVPF
LMUMarch 8, 2025@WSUWSU21733001-2501002
LMUMarch 7, 2025USDUSD14845000-0300104
LMUFeb 27, 2025SMCSMC28633000-1500301
LMUFeb 22, 2025PEPPPEPP11523001-2400112
LMUFeb 20, 2025@SCUSCU28522001-2702412
LMUFeb 15, 2025@PORTPORT6211000-0200001
LMUFeb 13, 2025PACPAC12000000-0300201
LMUFeb 11, 2025@PEPPPEPP18212000-0200301
LMUFeb 8, 2025SFSF12001000-0110111
LMUFeb 6, 2025@GONZGONZ#811001000-0001002
LMUFeb 1, 2025@USDUSD19423000-0401302
LMUJan 30, 2025PORTPORT19933003-4200402
LMUJan 18, 2025USDUSD18412002-3100000
LMUJan 16, 2025SCUSCU14422000-0200010
LMUJan 7, 2025@SMCSMC10001000-0200112
LMUJan 4, 2025GONZGONZ#820201002-2500110
LMUJan 2, 2025ORSTORST21213000-2630002
LMUDec 30, 2024@WSUWSU10424000-0201000
LMUDec 28, 2024@SFSF12000000-2500011
LMUDec 22, 2024UNAUNA14423000-0200020
LMUDec 20, 2024SOUSOU9211000-0300002
LMUDec 18, 2024UCSBUCSB16422000-0600000
LMUDec 14, 2024PVPV4211000-0000134
LMUDec 7, 2024NEVNEV19211000-0710122
LMUDec 4, 2024@CSUCSU7001000-0000010
LMUNov 22, 2024UNDUND5001000-2100200
By seasonPer game6 seasons
SeasonGPMINPTSREBASTFG%3P%TS%BPM
2025-26LMU3016.32.63.40.366.7%0.0%60.7%2.1
2024-25LMU2614.533.10.268.0%—65.3%2.4
2023-24LMU1010.61.73.90.158.3%—58.1%—
2022-23LMU28163.64.20.362.3%—60.5%0.8
2021-22OU124.10.70.80.137.5%—37.6%—
2020-21OU54.60.81.8033.3%—42.0%—

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.