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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.

TOR

Aneesah Morrow

Aneesah Morrow is 14th of 187 players in defensive rebounds, at 5.7 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 Played27
Minutes22.358th79/187
Games Started10
ScoringOffense▶
Points1170th57/187
Points off Turnovers2.275th48/187
Second Chance Points2.996th8/187
Fast Break Points0.649th95/187
Points in the Paint5.879th40/187
Usage Rate23.2%83rd33/187
ShootingOffense▶
Three-Pointers Made0.958th80/187
Three-Pointers Attempted3.167th63/187
Three Point Percentage27.4%3rd89/92
Field Goals Made4.273rd52/187
Field Goals Attempted1077th43/187
Field Goal Percentage42.2%35th77/119
Free Throws Made1.765th66/187
Free Throws Attempted2.670th57/187
Free Throw Percentage64.3%5th70/74
Shot LocationsOffense▶
Restricted Area Makes2.384th30/187
Restricted Area Attempts489th21/187
Restricted Area Percentage58.3%14th52/60
Floater Range Makes0.659th78/187
Floater Range Attempts1.766th64/187
Floater Range Percentage32.6%7th63/68
Mid Range Makes0.581st36/187
Mid Range Attempts1.278th41/187
Mid Range Percentage40.6%—
Above the Break Three Makes0.966th65/187
Above the Break Three Attempts2.973rd51/187
PlaymakingOffense▶
Assists1.448th97/187
Turnovers1.634th123/187
Assist Rate12.1%41st94/160
Turnover Rate12.2%72nd45/160
Box Creation2.253rd75/160
Rebounding▶
Rebounds8.395th11/187
Rebound Rate22.4%99th2/160
ReboundingOffense▶
Offensive Rebounds2.697th6/187
Offensive Rebound Rate13.3%97th6/160
ReboundingDefense▶
Defensive Rebounds5.793rd14/187
Defensive Rebound Rate32.5%100th1/160
DefenseDefense▶
Steals0.970th56/187
Blocks0.575th48/187
Personal Fouls2.238th116/187
Steal Rate2.0%66th50/160
Block Rate2.0%64th57/160
Impact▶
Plus Minus-5.54th180/187
Box Plus Minus-1.145th89/160
Value over Replacement0.245th88/160
Player Efficiency Rating17.674th43/160
Win Shares0.629th114/160
Estimated Wins0.544th89/160
Possessions Played1,203
ImpactOffense▶
Offensive Box Plus Minus0.567th53/160
Offensive Rating98.023rd123/160
ImpactDefense▶
Defensive Box Plus Minus-1.611th142/160
Defensive Rating107.564th56/160
27 games
DateOppMINPTSFGMFGA3PM3PAFTREBASTSTLBLKTOPF
TORAug 21, 2026PORPOR7002010-0200011
TORAug 19, 2026@WASWAS2313413253-5801004
TORAug 18, 2026INDIND2914611151-11620011
TORAug 12, 2026@DALDAL22814016-6620124
TORAug 10, 2026@ATLATL161148023-5111103
TORAug 6, 2026@PORPOR2411510011-4813123
TORAug 4, 2026@GSVGSV16836121-1500121
CONJuly 30, 2026@CHICHI3121812134-6721123
CONJuly 28, 2026@WASWAS2621816471-4442015
CONJuly 22, 2026@INDIND2110510020-0821113
CONJuly 2, 2026DALDAL4312001-1100000
CONJune 22, 2026CHICHI9103001-1201010
CONJune 19, 2026TORTOR20839032-21042022
CONJune 17, 2026WASWAS2111511021-21022020
CONJune 13, 2026INDIND218414040-0520002
CONJune 5, 2026@CHICHI328314250-01731112
CONJune 2, 2026@ATLATL3020712254-71320211
CONMay 30, 2026LASLAS3217613144-41422133
CONMay 27, 2026@PORPOR2913619170-01311223
CONMay 25, 2026@GSVGSV231148132-41020011
CONMay 22, 2026@SEASEA18735110-1600022
CONMay 20, 2026@SEASEA7211000-0300021
CONMay 18, 2026@PORPOR3412510141-21241141
CONMay 15, 2026LVALVA2710411032-21022024
CONMay 13, 2026LVALVA2416416137-101101003
CONMay 10, 2026SEASEA3117715360-21611021
CONMay 8, 2026@NYLNYL2415715150-0601055
By seasonPer game2 seasons
SeasonGPMINPTSREBASTFG%3P%USG%BPM
2026CONTOR2722.3118.31.442.2%27.4%23.2%-1.1
2025CON4118.97.76.90.537.5%24.0%21.3%-4.0

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.