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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.

APSU

Drew Calderon

Drew Calderon places 228th of 3278 players in assist to turnover ratio, at 2.00.

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 Played18
Minutes16.140th2483/4122
Games Started2
ScoringOffense▶
Usage Rate12.5%11th3687/4122
Points3.834th2727/4122
ShootingOffense▶
Field Goals Made1.333rd2753/4122
Field Goals Attempted3.436th2642/4122
Field Goal Percentage39.3%—
Three-Pointers Made0.761st1587/4122
Effective Field Goal Percentage50%—
Three-Pointers Attempted2.261st1615/4122
Three-Point Percentage33.3%—
Free Throws Made0.424th3142/4122
Free Throws Attempted0.416th3461/4122
True Shooting Percentage52.7%—
Free Throw Percentage87.5%—
Two Pointers Made0.623rd3158/4122
Two Pointers Attempted1.222nd3224/4122
Two Point Percentage50%—
Shot ProfileOffense▶
Three-Point Attempt Rate63.9%—
Free Throw Rate13.1%—
Shot LocationsOffense▶
Paint Makes0.432nd2525/3722
Paint Attempts0.624th2833/3722
Paint Percentage70%—
Mid Range Makes0.156th1624/3722
Mid Range Attempts0.460th1494/3722
Mid Range Percentage28.6%—
PlaymakingOffense▶
Assists0.845th2261/4122
Turnovers0.485th617/4122
Assist to Turnover Ratio2.0093rd228/3278
Points Created by Assists1.454th1666/3586
Rebounding▶
Rebounds1.319th3334/4122
Rebound Rate5.3%10th2850/3177
ReboundingOffense▶
Offensive Rebounds0.322nd3227/4122
ReboundingDefense▶
Defensive Rebounds121st3215/4122
DefenseDefense▶
Steals0.441st2428/4122
Blocks0.246th2202/4122
Personal Fouls1.177th955/4122
Impact▶
Box Plus-Minus-0.623rd2458/3177
Value over Replacement0.118th2605/3177
Player Efficiency Rating10.119th2586/3177
Win Shares0.127th2309/3177
Estimated Wins0.117th2619/3177
Plus Minus-0.831st2590/3781
Win Shares per 48 Minutes0.0129th2242/3174
Possessions Played476
Regularized Adjusted Plus-Minus0.4549th1764/3440
ImpactOffense▶
Offensive Box Plus-Minus-1.026th2333/3177
Box Creation0.816th2646/3177
Assist Percentage9.443rd1791/3177
Offensive Rebound Percentage2.224th2395/3177
Turnover Percentage9.891st286/3177
Offensive Rating108.665th1094/3174
Offensive Win Shares0.243rd1804/3177
Offensive RAPM-0.6633rd2320/3440
ImpactDefense▶
Defensive Box Plus-Minus0.429th2260/3177
Defensive Rating111.78th2935/3177
Defensive Rebound Percentage8.912th2793/3177
Steal Percentage1.746th1638/3177
Block Percentage1.250th1551/3177
Defensive Win Shares-0.213th2770/3177
Defensive RAPM1.1167th1143/3440
On Off▶
Net Rating with Him On15.588th410/3400
Net Rating with Him Off0.650th1547/3119
On Off Difference14.987th411/3119
Possessions with Him On375
18 games
DateOppMINPTSFGMFGA3PM3PAFTREBASTSTLBLKTOVPF
APSUFeb 11, 2023@CARKCARK31637030-0102022
APSUFeb 9, 2023@UNAUNA311036123-3322214
APSUFeb 4, 2023QUCQUC22213020-0211103
APSUFeb 2, 2023LIBLIB241668341-1121002
APSUJan 26, 2023@KENNKENN9002020-0010000
APSUJan 21, 2023EKUEKU4000000-0000010
APSUJan 19, 2023BELLBELL27313130-0211003
APSUJan 14, 2023@LIPLIP10001010-0100000
APSUJan 12, 2023LIPLIP14312120-0210000
APSUJan 7, 2023CARKCARK3000000-0010001
APSUDec 16, 2022@MURMUR6001000-0000000
APSUDec 12, 2022LWULWU26415042-2310003
APSUDec 6, 2022KCUKCU28196116111-2431010
APSUNov 21, 2022@UALBUALB8001000-0000000
APSUNov 17, 2022@USFUSF11003010-0100000
APSUNov 14, 2022MILGMILG11523120-0010001
APSUNov 11, 2022@PURPUR#77001010-0000000
APSUNov 7, 2022@NCSUNCSU18004010-0300020
By seasonPer game2 seasons
SeasonGPMINPTSREBASTFG%3P%TS%BPM
2022-23APSU1816.13.81.30.839.3%33.3%52.7%-0.6
2021-22APSU2917.64.61.50.731.2%31.7%45.6%0.9

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.