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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

Isabelle Harrison

Isabelle Harrison is 6th of 134 players in steal rate, at 2.8%.

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 Played34
Minutes10.614th135/156
Games Started1
ScoringOffense▶
Points4.930th109/156
Points off Turnovers140th94/156
Second Chance Points0.741st93/156
Fast Break Points0.426th115/156
Points in the Paint3.255th70/156
Usage Rate21.1%75th40/156
ShootingOffense▶
Three-Pointers Made0.119th127/156
Three-Pointers Attempted0.416th131/156
Three Point Percentage26.7%—
Field Goals Made1.933rd105/156
Field Goals Attempted3.930th109/156
Field Goal Percentage48.5%—
Free Throws Made146th85/156
Free Throws Attempted1.348th82/156
Free Throw Percentage76.7%—
Shot LocationsOffense▶
Restricted Area Makes154th70/156
Restricted Area Attempts1.550th79/156
Restricted Area Percentage68%—
Floater Range Makes0.661st62/156
Floater Range Attempts1.559th64/156
Floater Range Percentage41.2%—
Mid Range Makes0.244th87/156
Mid Range Attempts0.548th82/156
Mid Range Percentage33.3%—
Above the Break Three Makes0.117th130/156
Above the Break Three Attempts0.415th133/156
PlaymakingOffense▶
Assists0.722nd122/156
Turnovers0.780th32/156
Assist Rate11.9%38th84/134
Turnover Rate13.1%68th43/134
Box Creation2.047th71/134
Rebounding▶
Rebounds2.644th88/156
Rebound Rate14.3%78th29/134
ReboundingOffense▶
Offensive Rebounds0.961st61/156
Offensive Rebound Rate9.9%88th17/134
ReboundingDefense▶
Defensive Rebounds1.837th98/156
Defensive Rebound Rate18.2%70th41/134
DefenseDefense▶
Steals0.642nd91/156
Blocks0.110th140/156
Personal Fouls1.378th35/156
Steal Rate2.8%95th6/134
Block Rate0.5%14th113/134
Impact▶
Plus Minus-0.350th78/156
Box Plus Minus-1.045th74/134
Value over Replacement0.138th84/134
Player Efficiency Rating17.271st40/134
Win Shares1.243rd76/134
Estimated Wins0.338th84/134
Possessions Played709
ImpactOffense▶
Offensive Box Plus Minus-1.236th86/134
Offensive Rating104.957th57/133
ImpactDefense▶
Defensive Box Plus Minus0.255th61/134
Defensive Rating100.580th28/134
34 games
DateOppMINPTSFGMFGA3PM3PAFTREBASTSTLBLKTOPF
NYSep 11, 2025@CHICHI15006010-0520021
NYSep 9, 2025WSHWSH2212010-0000000
NYSep 5, 2025@SEASEA4100001-2111010
NYSep 2, 2025@GSGS3001010-0010001
NYAug 30, 2025@PHXPHX7212010-0100001
NYAug 28, 2025WSHWSH2016613222-2521001
NYAug 10, 2025MINMIN14946001-1511023
NYAug 8, 2025@DALDAL13824004-4100002
NYAug 5, 2025DALDAL11413002-2500101
NYAug 3, 2025@CONCON7213000-0011002
NYAug 1, 2025@CONCON17627012-2101031
NYJuly 30, 2025@MINMIN1715710001-2221014
NYJuly 28, 2025@DALDAL171035004-6400010
NYJuly 26, 2025LALA13724003-4101001
NYJuly 22, 2025INDIND171356003-3502021
NYJuly 16, 2025INDIND19936122-2213123
NYJuly 13, 2025ATLATL16936013-4610002
NYJuly 6, 2025SEASEA2001000-0000000
NYJuly 3, 2025LALA12735001-3422002
NYJune 29, 2025@ATLATL21846000-0621022
NYJune 27, 2025@PHXPHX151058000-0500010
NYJune 25, 2025@GSGS5000000-0010001
NYJune 22, 2025@SEASEA5202002-2210002
NYJune 19, 2025PHXPHX4100001-2000002
NYJune 17, 2025ATLATL3001010-0100000
NYJune 14, 2025@INDIND8212000-0410000
NYJune 10, 2025CHICHI16003010-0510000
NYJune 5, 2025@WSHWSH15737011-2502005
NYJune 1, 2025CONCON17946110-0613021
NYMay 30, 2025@WSHWSH9423000-0300003
NYMay 29, 2025GSGS3001000-0100022
NYMay 27, 2025GSGS7423010-0120000
NYMay 22, 2025@CHICHI6002000-0210020
NYMay 17, 2025LVLV1000000-0000000
By seasonPer Game3 seasons
SeasonGPMINPTSREBASTFG%3P%USG%BPM
2026TOR3223.712.86.91.542.5%27.8%25.3%-3.1
2025NY3410.64.92.60.748.5%26.7%21.1%-1.0
2024CHI3616.36.53.90.839.9%16.7%—-3.5

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.