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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.

NYL

Breanna Stewart

Breanna Stewart is the best of 156 players in fast break points, at 3.8 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 Played31
Minutes30.686th23/156
Games Started31
ScoringOffense▶
Points18.395th8/156
Points off Turnovers4.499th2/156
Second Chance Points2.494th11/156
Fast Break Points3.8100th1/156
Points in the Paint9.996th7/156
Usage Rate26.1%94th10/156
ShootingOffense▶
Three-Pointers Made0.750th78/156
Three-Pointers Attempted2.859th65/156
Three Point Percentage24.1%1st72/73
Field Goals Made6.194th10/156
Field Goals Attempted13.291st15/156
Field Goal Percentage46.1%66th37/107
Free Throws Made5.599th2/156
Free Throws Attempted6.599th2/156
Free Throw Percentage83.7%65th21/58
Shot LocationsOffense▶
Restricted Area Makes2.994th10/156
Restricted Area Attempts3.992nd13/156
Restricted Area Percentage74.6%95th4/58
Floater Range Makes297th6/156
Floater Range Attempts4.797th5/156
Floater Range Percentage42.9%19/49
Mid Range Makes0.473rd43/156
Mid Range Attempts1.785th24/156
Mid Range Percentage25%—
Above the Break Three Makes0.652nd75/156
Above the Break Three Attempts2.564th57/156
PlaymakingOffense▶
Assists3.583rd28/156
Turnovers1.919th126/156
Assist Rate21%74th35/134
Turnover Rate10.8%88th16/134
Box Creation4.082nd25/134
Rebounding▶
Rebounds6.590th17/156
Rebound Rate12.4%70th41/134
ReboundingOffense▶
Offensive Rebounds169th48/156
Offensive Rebound Rate4%53rd63/134
ReboundingDefense▶
Defensive Rebounds5.594th10/156
Defensive Rebound Rate19.9%80th27/134
DefenseDefense▶
Steals1.491st15/156
Blocks1.496th7/156
Personal Fouls1.946th85/156
Steal Rate2.3%76th30/134
Block Rate4%88th16/134
Impact▶
Plus Minus6.294th11/156
Box Plus Minus4.794th9/134
Value over Replacement1.989th16/134
Player Efficiency Rating23.797th4/134
Win Shares4.891st13/134
Estimated Wins5.289th16/134
Possessions Played1,863
ImpactOffense▶
Offensive Box Plus Minus3.190th14/134
Offensive Rating111.781st25/133
ImpactDefense▶
Defensive Box Plus Minus1.689th15/134
Defensive Rating99.388th17/134
31 games
DateOppMINPTSFGMFGA3PM3PAFTREBASTSTLBLKTOPF
NYSep 11, 2025@CHICHI2424914115-5631101
NYSep 9, 2025WSHWSH2714512123-3832100
NYSep 5, 2025@SEASEA36245111113-14740522
NYSep 2, 2025@GSGS34194151510-13512133
NYAug 30, 2025@PHXPHX271449254-5632012
NYAug 28, 2025WSHWSH241249133-4911013
NYAug 25, 2025CONCON21194120211-13500122
NYJuly 26, 2025LALA3312110-0100000
NYJuly 25, 2025PHXPHX316312030-0852231
NYJuly 22, 2025INDIND3617611015-5463132
NYJuly 16, 2025INDIND30241015014-41171424
NYJuly 13, 2025ATLATL3718719143-31043212
NYJuly 8, 2025LVLV3715414126-9752112
NYJuly 6, 2025SEASEA358417030-0630320
NYJuly 3, 2025LALA3717718023-31442112
NYJune 29, 2025@ATLATL3421718166-7942233
NYJune 27, 2025@PHXPHX3117713033-4541033
NYJune 25, 2025@GSGS3723919243-31031221
NYJune 22, 2025@SEASEA3718614026-7970251
NYJune 19, 2025PHXPHX373511173410-11323061
NYJune 17, 2025ATLATL3623818136-7640123
NYJune 14, 2025@INDIND38247150210-14523033
NYJune 10, 2025CHICHI2718814022-3750212
NYJune 5, 2025@WSHWSH35268160310-131111124
NYJune 1, 2025CONCON231345124-4351111
NYMay 30, 2025@WSHWSH2510310054-4371121
NYMay 29, 2025GSGS34276120215-19742331
NYMay 27, 2025GSGS27241014123-6133012
NYMay 24, 2025@INDIND3616411048-10730104
NYMay 22, 2025@CHICHI251238254-4223241
NYMay 17, 2025LVLV27251014025-5830102
By seasonPer Game3 seasons
SeasonGPMINPTSREBASTFG%3P%USG%BPM
2026NYL433320.98.33.347.6%25.2%26%4.8
2025NY3130.618.36.53.546.1%24.1%26.1%4.7
2024NY3832.620.48.53.545.8%29.5%—7.4

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.