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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 for the team that season, not who is on it now. Players are identified by name here rather than by number, which is what the source offers. A dash means no number for that cell, or a zero in a roster column that counts.

CON

Hailey Van Lith

In player efficiency rating, Hailey Van Lith is 128th of 134 players, at 5.6.

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 Played29
Minutes12.520th125/156
Games Started0
ScoringOffense▶
Points3.520th125/156
Points off Turnovers0.518th128/156
Second Chance Points0.422nd122/156
Fast Break Points0.317th129/156
Points in the Paint1.732nd107/156
Usage Rate19.2%61st62/156
ShootingOffense▶
Three-Pointers Made0.223rd121/156
Three-Pointers Attempted1.127th114/156
Three Point Percentage16.1%—
Field Goals Made1.319th126/156
Field Goals Attempted3.825th118/156
Field Goal Percentage33.9%—
Free Throws Made0.839th96/156
Free Throws Attempted1.137th99/156
Free Throw Percentage74.2%—
Shot LocationsOffense▶
Restricted Area Makes0.530th110/156
Restricted Area Attempts135th102/156
Restricted Area Percentage48.3%—
Floater Range Makes0.342nd91/156
Floater Range Attempts0.837th99/156
Floater Range Percentage41.7%—
Mid Range Makes0.360th63/156
Mid Range Attempts0.963rd58/156
Mid Range Percentage32%—
Above the Break Three Makes0.226th116/156
Above the Break Three Attempts0.928th113/156
PlaymakingOffense▶
Assists1.646th84/156
Turnovers1.246th84/156
Assist Rate20.8%73rd37/134
Turnover Rate22.7%8th123/134
Box Creation2.049th68/134
Rebounding▶
Rebounds1.111th139/156
Rebound Rate5%14th116/134
ReboundingOffense▶
Offensive Rebounds0.15th149/156
Offensive Rebound Rate1.3%9th122/134
ReboundingDefense▶
Defensive Rebounds0.914th135/156
Defensive Rebound Rate8.7%18th109/134
DefenseDefense▶
Steals0.426th115/156
Blocks0.124th119/156
Personal Fouls0.896th7/156
Steal Rate1.7%41st76/134
Block Rate1%37th81/134
Impact▶
Plus Minus-321st124/156
Box Plus Minus-7.81st133/134
Value over Replacement-0.63rd129/134
Player Efficiency Rating5.65th128/134
Win Shares-0.92nd132/134
Estimated Wins-1.74th129/134
Possessions Played700
ImpactOffense▶
Offensive Box Plus Minus-5.41st133/134
Offensive Rating79.22nd131/133
ImpactDefense▶
Defensive Box Plus Minus-2.34th129/134
Defensive Rating113.65th127/134
29 games
DateOppMINPTSFGMFGA3PM3PAFTREBASTSTLBLKTOPF
CHIAug 25, 2025LVLV4001000-0010000
CHIAug 23, 2025CONCON4000000-0120010
CHIAug 15, 2025GSGS18213020-0212012
CHIAug 13, 2025@CONCON11001010-0110011
CHIAug 9, 2025@INDIND15625131-2130020
CHIAug 7, 2025ATLATL2001000-0000000
CHIAug 5, 2025WSHWSH1000000-0000010
CHIAug 3, 2025PHXPHX17525011-2030013
CHIJuly 24, 2025SEASEA24838002-2150011
CHIJuly 22, 2025@MINMIN277311031-2243021
CHIJuly 16, 2025ATLATL21427000-0420032
CHIJuly 14, 2025MINMIN9425000-0210021
CHIJuly 9, 2025DALDAL8213010-0210122
CHIJuly 8, 2025@WSHWSH3000000-0000000
CHIJuly 6, 2025@MINMIN4003030-0000011
CHIJune 29, 2025@LALA5001000-0020000
CHIJune 27, 2025@GSGS13513122-2010010
CHIJune 24, 2025LALA14624012-4121100
CHIJune 22, 2025@ATLATL8213010-0011021
CHIJune 21, 2025PHXPHX21416022-2032032
CHIJune 17, 2025WSHWSH26526110-0210051
CHIJune 15, 2025@CONCON241668123-4510112
CHIJune 13, 2025@ATLATL4423000-0010000
CHIJune 10, 2025@NYNY16515132-2021020
CHIJune 7, 2025INDIND26725003-3201131
CHIMay 31, 2025@DALDAL10002010-0410001
CHIMay 29, 2025DALDAL8214010-0101000
CHIMay 22, 2025NYNY15404034-6060000
CHIMay 17, 2025@INDIND4422000-0000010
By seasonPer Game2 seasons
SeasonGPMINPTSREBASTFG%3P%USG%BPM
2026CON2215.85.51.62.142.5%32.4%17%-2.5
2025CHI2912.53.51.11.633.9%16.1%19.2%-7.8

About WNBA Research

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Every number the site holds for a WNBA team and the players who played for it, in one place. Pick a team, a season and a set of games, 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.