games with minutes
32
100th percentile
last played tue 8/18
league median 8
games with minutes
32
100th percentile
last played tue 8/18
league median 8
avg minutes
29.5
87th percentile
league median 17.7
WAR44
-1.2
0th percentile
league median 1.0
EPM
-4.1
0th percentile
league median -0.2
avg fpts
33.1
91st percentile
last game 32.8
league median 14.0
-9.9
24th percentile
league avg 0.2
106.0
52nd percentile
league avg 106.8
115.9
15th percentile
league avg 106.6
44.1%
48th percentile
league avg 45.3%
38.5%
70th percentile
league avg 33.5%
59.9%
67th percentile
league avg 56.2%
1.19
50th percentile
league avg 1.53
2.2%
29th percentile
league avg 5.4%
11.3%
43rd percentile
league avg 14.7%
29.5
87th percentile
league avg 18.4
30.4%
98th percentile
league avg 18.3%
82.5
50th percentile
league avg 81.6
Tracking coverage is partial. It is separate from the boxscore-based metrics above.
Oakleaf data-engine rows. Coverage compares source counts; it does not certify every value. Other seasons and NBA playoff windows have separate samples.
Updated Aug 27, 11:23 PM CDTMarina Mabrey remains out with an adductor injury
Mabrey remains out and is not with the team because of a right-adductor injury. She missed Wednesday's loss in Seattle and is listed out again Friday at Las Vegas. Toronto's latest reported timetable called for her to be re-evaluated after a few weeks, and no earlier return signal has surfaced. Kiki Rice continues to lead the offense in Mabrey's absence, with Kia Nurse and Kiana Williams supplying additional backcourt minutes.
Out — right adductor not with team
Impact when this player is out.
| Teammate | Usage% | Min | Games |
|---|---|---|---|
| Teonni Key | +11.9% | 16.4 | 7 |
| Kiki Rice | +6.5% | 28.6 | 7 |
| Isabelle Harrison | +4.1% | 25.9 | 8 |
| Kia Nurse | +3.6% | 20.7 | 8 |
| Ornella Bankole | +1.8% | 17.6 | 6 |
| Julie Allemand | +1.7% | 28.7 | 5 |
| Laura Juskaite | +0.8% | 27.2 | 8 |
| Temi Fagbenle | +0.1% | 20.4 | 8 |
2026 shooting density from live shot-detail rows.
| Game | Min | Pts | FG | FGA | FG% | 3PM | 3PA | 3P% | FT | FTA | FT% | Reb | OREB | DREB | Ast | Stl | Blk | Tov | FPTS |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 8/18/26 vs IND | 28.5 | 22 | 7 | 21 | 33% | 5 | 14 | 36% | 3 | 4 | 75% | 1 | 0 | 1 | 3 | 1 | 1 | 3 | 32.8 |
| 8/12/26 @ DAL | 31.0 | 23 | 7 | 15 | 47% | 3 | 9 | 33% | 6 | 7 | 86% | 2 | 0 | 2 | 4 | 0 | 1 | 2 | 34.0 |
| 8/10/26 @ ATL | 32.9 | 36 | 12 | 19 | 63% | 7 | 13 | 54% | 5 | 5 | 100% | 0 | 0 | 0 | 3 | 0 | 0 | 1 | 43.5 |
| 8/6/26 @ PDX | 22.0 | 9 | 3 | 9 | 33% | 3 | 8 | 38% | 0 | 1 | 0% | 2 | 0 | 2 | 1 | 0 | 0 | 3 | 13.0 |
| 8/4/26 @ GSV | 35.4 | 12 | 4 | 11 | 36% | 0 | 4 | 0% | 4 | 4 | 100% | 5 | 0 | 5 | 6 | 0 | 0 | 3 | 25.8 |
| 7/30/26 vs MIN | 27.9 | 16 | 6 | 11 | 55% | 2 | 6 | 33% | 2 | 3 | 67% | 3 | 0 | 3 | 4 | 1 | 0 | 3 | 27.3 |
| 7/28/26 @ MIN | 31.7 | 25 | 7 | 17 | 41% | 3 | 10 | 30% | 8 | 8 | 100% | 8 | 1 | 7 | 6 | 0 | 0 | 3 | 44.0 |
| 7/20/26 vs LVA | 30.6 | 14 | 5 | 21 | 24% | 1 | 8 | 13% | 3 | 3 | 100% | 2 | 1 | 1 | 5 | 3 | 1 | 3 | 31.0 |
| 32 Games | 945 | 667 | 218 | 494 | 44% | 105 | 273 | 38% | 126 | 143 | 88% | 105 | 17 | 88 | 118 | 29 | 12 | 99 | 1060 |
8/18/26vs IND(L)95-101
31.3% usage rate
8/12/26@ DAL(L)88-94
25.7% usage rate
8/10/26@ ATL(L)95-107
28.6% usage rate
8/6/26@ PDX(L)83-97
21.1% usage rate
8/4/26@ GSV(L)81-92
20% usage rate
7/30/26vs MIN(L)72-104
24.2% usage rate
7/28/26@ MIN(L)93-100
29.1% usage rate
7/20/26vs LVA(L)83-109
32.9% usage rate
7/17/26vs ATL(L)92-111
28.8% usage rate
7/14/26vs WAS(L)62-79
27.4% usage rate
7/12/26vs NYL(W)93-91
34.1% usage rate
7/10/26vs DAL(L)95-108
43.6% usage rate
7/8/26vs GSV(L)75-83
26.1% usage rate
7/5/26vs DAL(L)76-89
27.4% usage rate