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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

Sabrina Ionescu

Sabrina Ionescu comes in 16th of 188 players in assists, at 4.8 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
Minutes30.289th22/188
Games Started30
ScoringOffense
Points15.288th24/188
Points off Turnovers2.276th45/188
Second Chance Points1.575th47/188
Fast Break Points1.582nd35/188
Points in the Paint5.274th49/188
Usage Rate22.7%81st36/188
ShootingOffense
Three-Pointers Made294th12/188
Three-Pointers Attempted6.797th7/188
Three Point Percentage30.1%22nd73/93
Field Goals Made582nd35/188
Field Goals Attempted12.889th21/188
Field Goal Percentage39.4%17th101/122
Free Throws Made3.188th24/188
Free Throws Attempted3.581st36/188
Free Throw Percentage88.9%93rd6/73
Shot LocationsOffense
Restricted Area Makes1.978th43/188
Restricted Area Attempts2.978th43/188
Restricted Area Percentage66.7%57th26/59
Floater Range Makes0.769th59/188
Floater Range Attempts2.178th43/188
Floater Range Percentage32.3%7th65/70
Mid Range Makes0.365th66/188
Mid Range Attempts0.870th58/188
Mid Range Percentage30.8%
Above the Break Three Makes1.793rd15/188
Above the Break Three Attempts5.596th9/188
PlaymakingOffense
Assists4.892nd16/188
Turnovers2.84th180/188
Assist Rate26.4%87th21/158
Turnover Rate16.2%36th102/158
Box Creation5.090th16/158
Rebounding
Rebounds3.872nd53/188
Rebound Rate7.6%41st94/158
ReboundingOffense
Offensive Rebounds0.757th82/188
Offensive Rebound Rate3.0%35th102/158
ReboundingDefense
Defensive Rebounds3.176th45/188
Defensive Rebound Rate11.8%42nd91/158
DefenseDefense
Steals0.758th80/188
Blocks0.357th82/188
Personal Fouls1.760th76/188
Steal Rate1.2%18th127/158
Block Rate0.9%32nd104/158
Impact
Plus Minus0.964th68/188
Box Plus Minus-0.750th80/158
Value over Replacement0.455th71/158
Player Efficiency Rating14.857th68/158
Win Shares1.861st62/158
Estimated Wins1.055th71/158
Possessions Played1,867
ImpactOffense
Offensive Box Plus Minus0.872nd45/158
Offensive Rating105.044th88/158
ImpactDefense
Defensive Box Plus Minus-1.514th136/158
Defensive Rating110.639th97/158
31 games
DateOppMINPTSFGMFGA3PM3PAFTREBASTSTLBLKTOPF
NYLSep 21, 2026ATLATL2915312277-7020021
NYLSep 20, 2026@TORTOR22618143-4392031
NYLSep 18, 2026@MINMIN3017615392-3363043
NYLAug 29, 2026CHICHI232010032-2540110
NYLAug 27, 2026GSVGSV297212192-2240121
NYLAug 22, 2026INDIND3212511151-2340152
NYLAug 18, 2026@CHICHI34187172102-27121141
NYLAug 13, 2026LASLAS3320617197-9342043
NYLAug 11, 2026@INDIND2819711154-4452051
NYLAug 9, 2026LVALVA215210160-0320022
NYLAug 5, 2026SEASEA3115414166-6562002
NYLAug 3, 2026SEASEA2918710460-0250054
NYLAug 1, 2026@PHOPHO35279194105-57101033
NYLJuly 30, 2026@LVALVA291547146-7450032
NYLJuly 28, 2026@LASLAS3627916594-4760071
NYLJuly 22, 2026CHICHI3529811578-8440141
NYLJuly 20, 2026@DALDAL36218252103-3420111
NYLJuly 18, 2026@INDIND341249242-4141012
NYLJuly 12, 2026@TORTOR3328918377-8483013
NYLJuly 11, 2026@MINMIN35259203124-4852030
NYLJuly 7, 2026DALDAL3314515272-2350143
NYLJuly 3, 2026MINMIN35175123104-4262221
NYLJune 30, 2026LVALVA31269195133-4550033
NYLJune 28, 2026@GSVGSV269310261-1320011
NYLJune 25, 2026@SEASEA2914512173-3251024
NYLJune 23, 2026@LVALVA3016512264-41041020
NYLJune 21, 2026@LASLAS22213010-0320021
NYLJune 19, 2026WASWAS309413160-0130043
NYLJune 17, 2026@CHICHI281049240-0310031
NYLJune 14, 2026WASWAS26514023-4330021
NYLMay 24, 2026DALDAL3111415251-2570012
By seasonPer game3 seasons
SeasonGPMINPTSREBASTFG%3P%USG%BPM
2026NYL3130.215.23.84.839.4%30.1%22.7%-0.7
2025NY3831.318.24.95.740.1%29.9%27.3%2.9
2024NY3832.118.24.46.239.4%33.3%3.3

About WNBA Research

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.