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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

Ndewedo Newbury

Ndewedo Newbury places 228th of 4163 players in blocks, at 1.1 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 10 shown▶
Playing Time▶
Games Played11
Minutes24.364th1487/4163
Games Started11
ScoringOffense▶
Usage Rate19.6%59th1696/4163
Points8.465th1478/4163
ShootingOffense▶
Field Goals Made3.370th1259/4163
Field Goals Attempted7.168th1339/4163
Field Goal Percentage46.2%66th746/2220
Three-Pointers Made0.863rd1518/4163
Effective Field Goal Percentage51.9%54th1011/2220
Three-Pointers Attempted2.360th1674/4163
Three-Point Percentage36.0%—
Free Throws Made150th2051/4163
Free Throws Attempted1.448th2170/4163
True Shooting Percentage54.4%43rd1266/2220
Free Throw Percentage73.3%—
Two Pointers Made2.574th1084/4163
Two Pointers Attempted4.875th1062/4163
Two Point Percentage50.9%49th768/1511
Shot ProfileOffense▶
Three-Point Attempt Rate32.1%35th1439/2220
Free Throw Rate19.2%18th1823/2220
Shot LocationsOffense▶
Paint Makes1.468th1212/3803
Paint Attempts2.363rd1392/3803
Paint Percentage60.0%—
Mid Range Makes0.153rd1740/3803
Mid Range Attempts0.242nd2191/3803
Mid Range Percentage50.0%—
PlaymakingOffense▶
Assists2.687th522/4163
Turnovers1.620th3316/4163
Assist to Turnover Ratio1.6176th779/3307
Points Created by Assists3.781st688/3696
Rebounding▶
Rebounds4.376th981/4163
Rebound Rate11.3%64th1156/3223
ReboundingOffense▶
Offensive Rebounds1.582nd747/4163
ReboundingDefense▶
Defensive Rebounds2.871st1211/4163
DefenseDefense▶
Steals0.763rd1539/4163
Blocks1.195th228/4163
Personal Fouls1.651st2047/4163
Impact▶
Box Plus-Minus7.592nd247/3223
Value over Replacement0.849th1634/3223
Player Efficiency Rating16.869th997/3223
Win Shares0.744th1804/3223
Estimated Wins0.850th1620/3223
Plus Minus3.489th442/3842
Win Shares per 48 Minutes0.1175th794/3223
Possessions Played459
Regularized Adjusted Plus-Minus1.0058th1516/3635
ImpactOffense▶
Offensive Box Plus-Minus3.585th482/3223
Box Creation3.583rd561/3223
Assist Percentage20.686th456/3223
Offensive Rebound Percentage7.669th973/3223
Turnover Percentage17.526th2372/3223
Offensive Rating108.753rd1503/3223
Offensive Win Shares0.242nd1863/3223
Offensive RAPM2.2684th565/3635
ImpactDefense▶
Defensive Box Plus-Minus4.092nd264/3223
Defensive Rating99.088th379/3223
Defensive Rebound Percentage15.259th1320/3223
Steal Percentage1.742nd1796/3223
Block Percentage5.090th302/3223
Defensive Win Shares0.552nd1521/3223
Defensive RAPM-1.2618th2993/3635
On Off▶
Net Rating with Him On8.274th915/3579
Net Rating with Him Off20.08th3167/3443
On Off Difference-11.821st2698/3443
Possessions with Him On233
11 games
DateOppMINPTSFGMFGA3PM3PAFTREBASTSTLBLKTOVPF
SFDec 15, 2024@LUCLUC4001010-0210010
SFDec 11, 2024CSUSCSUS2717813140-0431300
SFDec 5, 2024SLUSLU21102001-2321042
SFDec 1, 2024MERCMERC26214000-0840300
SFNov 26, 2024@FORFOR3021712344-5130122
SFNov 25, 2024CLEMCLEM28425020-0341013
SFNov 21, 2024MEMMEM247310041-2510044
SFNov 16, 2024CHSTCHST171048240-0320013
SFNov 13, 2024LBSULBSU241048111-2422110
SFNov 9, 2024BOISBOIS371458232-21031142
SFNov 5, 2024CPCP29627022-2442302
By seasonPer game4 seasons
SeasonGPMINPTSREBASTFG%3P%TS%BPM
2024-25SF1124.38.44.32.646.2%36.0%54.4%7.5
2023-24SF3425.79.43.71.752.6%40.0%63.8%4.9
2022-23SF132354.5147.9%25.0%58.1%0.2
2021-22SF112.11.70.50.1100.0%100.0%95.4%—

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.