games with minutes
33
99th percentile
last played sat 8/29
league median 11
games with minutes
33
99th percentile
last played sat 8/29
league median 11
avg minutes
20.3
61st percentile
league median 16.6
WAR44
3.6
91st percentile
league median 1.0
EPM
3.2
98th percentile
league median -0.2
avg fpts
20.5
70th percentile
last game 18.3
league median 12.5
4.6
68th percentile
league avg 0.1
106.8
56th percentile
league avg 106.6
102.2
70th percentile
league avg 106.5
43.5%
43rd percentile
league avg 45.8%
33.7%
37th percentile
league avg 33.7%
56.0%
49th percentile
league avg 56.4%
1.18
45th percentile
league avg 1.58
2.0%
27th percentile
league avg 5.1%
6.8%
17th percentile
league avg 15.0%
20.3
61st percentile
league avg 17.7
29.5%
96th percentile
league avg 18.6%
85.2
83rd percentile
league avg 82.2
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 25, 10:15 PM CDTSydney Taylor remains part of the Sky core
Sydney Taylor continues to hold a starting place in the Sky rotation. She logged 17.4 minutes in her latest appearance on 2026-08-23, and she has averaged 20.0 minutes across her last 5 appearances. She was also confirmed in the latest starting group. The recent workload supports a steady role around 13.1 minutes. Normal game flow can still move that number, but there is no current availability issue or rotation signal that calls for treating her as a fringe option.
Impact when this player is out.
| Teammate | Usage% | Min | Games |
|---|---|---|---|
| DiJonai Carrington | +6.1% | 16.2 | 5 |
| Kamilla Cardoso | +4.7% | 27.8 | 7 |
| Natasha Cloud | +3.2% | 29.7 | 7 |
| Rachel Banham | +1.7% | 14.9 | 7 |
| Courtney Vandersloot | +0.2% | 24.8 | 5 |
| Jacy Sheldon | -0.8% | 24.1 | 7 |
| Elizabeth Williams | -2.3% | 16.6 | 7 |
| Gabriela Jaquez | -5.5% | 14.9 | 7 |
| Aicha Coulibaly | -8.5% | 17.4 | 6 |
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 8/29/26 @ NYL | 18.9 | 13 | 4 | 14 | 29% | 2 | 6 | 33% | 3 | 6 | 50% | 3 | 1 | 2 | 1 | 0 | 0 | 2 | 18.3 |
| 8/25/26 @ CON | 20.1 | 4 | 2 | 11 | 18% | 0 | 6 | 0% | 0 | 0 | n/a | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 10.0 |
| 8/23/26 vs IND | 17.5 | 4 | 2 | 9 | 22% | 0 | 6 | 0% | 0 | 0 | n/a | 0 | 0 | 0 | 2 | 0 | 0 | 1 | 6.5 |
| 8/21/26 vs GSV | 18.4 | 14 | 5 | 9 | 56% | 4 | 6 | 67% | 0 | 0 | n/a | 2 | 0 | 2 | 1 | 2 | 0 | 2 | 23.0 |
| 8/18/26 vs NYL | 17.3 | 9 | 3 | 9 | 33% | 1 | 6 | 17% | 2 | 2 | 100% | 2 | 0 | 2 | 3 | 2 | 0 | 2 | 19.5 |
| 8/3/26 vs PHX | 16.9 | 14 | 5 | 10 | 50% | 3 | 5 | 60% | 1 | 1 | 100% | 2 | 0 | 2 | 3 | 1 | 0 | 0 | 24.5 |
| 8/1/26 vs LVA | 29.8 | 29 | 11 | 27 | 41% | 5 | 11 | 45% | 2 | 4 | 50% | 2 | 0 | 2 | 2 | 1 | 1 | 2 | 40.0 |
| 7/30/26 vs CON | 30.8 | 14 | 6 | 12 | 50% | 2 | 7 | 29% | 0 | 0 | n/a | 2 | 0 | 2 | 6 | 1 | 1 | 2 | 29.5 |
| 33 Games | 670 | 456 | 161 | 370 | 44% | 66 | 196 | 34% | 68 | 84 | 81% | 51 | 12 | 39 | 58 | 24 | 7 | 49 | 677 |
8/29/26@ NYL(L)66-85
42.2% usage rate
8/25/26@ CON(L)81-87
26.2% usage rate
8/23/26vs IND(L)90-113
23.8% usage rate
8/21/26vs GSV(W)73-70
28.2% usage rate
8/18/26vs NYL(W)93-86
26.1% usage rate
8/3/26vs PHX(L)101-106
23.8% usage rate
8/1/26vs LVA(W)84-83
40.3% usage rate
7/30/26vs CON(W)94-88
20.3% usage rate
7/22/26@ NYL(L)94-95
34.9% usage rate
7/19/26@ ATL(L)91-93
26.6% usage rate
7/17/26vs LAS(W)96-82
21.7% usage rate
7/15/26vs SEA(W)95-90
27.9% usage rate
7/12/26@ DAL(L)91-96
35.7% usage rate
7/10/26@ LAS(L)87-102
31.9% usage rate