games with minutes
28
99th percentile
last played sat 8/29
league median 9
games with minutes
28
99th percentile
last played sat 8/29
league median 9
avg minutes
13.5
35th percentile
league median 16.9
WAR44
2.0
73rd percentile
league median 1.0
EPM
2.2
91st percentile
league median -0.3
avg fpts
10.7
40th percentile
last game 6.5
league median 12.8
3.4
67th percentile
league avg 0.1
105.8
52nd percentile
league avg 107.3
102.3
69th percentile
league avg 107.2
43.9%
47th percentile
league avg 46.1%
5.3%
league avg 34.2%
55.4%
45th percentile
league avg 56.9%
0.76
28th percentile
league avg 1.64
4.8%
62nd percentile
league avg 5.0%
19.5%
78th percentile
league avg 15.1%
13.5
35th percentile
league avg 18.0
16.5%
38th percentile
league avg 18.8%
84.6
77th 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 CDTAicha Coulibaly is still working from a depth role
Aicha Coulibaly remains a second-unit or depth option for the Chicago Sky. She has averaged 12.9 minutes across her last 5 appearances. She was not used in 1 of her last 7 recorded team games. Her path to a larger workload is tied to a clear rotation opening, a matchup choice, or strong play during a shorter stint. Until one of those changes arrives, this should be treated as a healthy reserve role with an occasional DNP risk, not an injury absence.
Impact when this player is out.
| Teammate | Usage% | Min | Games |
|---|---|---|---|
| Azura Stevens | +3.2% | 24.8 | 11 |
| Gabriela Jaquez | +3.0% | 20.8 | 10 |
| Natasha Cloud | +1.8% | 26.5 | 12 |
| Elizabeth Williams | +0.9% | 17.4 | 12 |
| Sydney Taylor | +0.4% | 18.4 | 11 |
| Skylar Diggins | +0.2% | 28.8 | 9 |
| Jacy Sheldon | -0.9% | 20.6 | 12 |
| Kamilla Cardoso | -1.2% | 28.2 | 11 |
| Rachel Banham | -6.2% | 15.0 | 11 |
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 | 13.4 | 0 | 0 | 4 | 0% | 0 | 0 | n/a | 0 | 0 | n/a | 4 | 0 | 4 | 0 | 0 | 1 | 1 | 6.5 |
| 8/25/26 @ CON | 14.9 | 4 | 1 | 2 | 50% | 0 | 1 | 0% | 2 | 2 | 100% | 6 | 1 | 5 | 1 | 0 | 2 | 2 | 16.0 |
| 8/23/26 vs IND | 18.1 | 12 | 5 | 5 | 100% | 0 | 0 | n/a | 2 | 2 | 100% | 6 | 2 | 4 | 1 | 1 | 0 | 1 | 22.5 |
| 8/21/26 vs GSV | 1.8 | 0 | 0 | 0 | n/a | 0 | 0 | n/a | 0 | 0 | n/a | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -0.5 |
| 8/16/26 @ SEA | 13.9 | 2 | 1 | 2 | 50% | 0 | 0 | n/a | 0 | 0 | n/a | 2 | 1 | 1 | 0 | 0 | 0 | 2 | 3.5 |
| 8/12/26 @ GSV | 20.2 | 8 | 3 | 3 | 100% | 1 | 1 | 100% | 1 | 2 | 50% | 1 | 0 | 1 | 0 | 2 | 0 | 1 | 13.3 |
| 8/10/26 @ SEA | 10.5 | 3 | 1 | 3 | 33% | 0 | 0 | n/a | 1 | 1 | 100% | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 6.8 |
| 8/8/26 vs IND | 19.8 | 6 | 2 | 5 | 40% | 0 | 1 | 0% | 2 | 2 | 100% | 2 | 0 | 2 | 4 | 1 | 0 | 0 | 16.5 |
| 28 Games | 377 | 135 | 43 | 98 | 44% | 1 | 19 | 5% | 48 | 54 | 89% | 77 | 16 | 61 | 16 | 20 | 7 | 21 | 299 |
8/29/26@ NYL(L)66-85
15.6% usage rate
8/25/26@ CON(L)81-87
12.8% usage rate
8/23/26vs IND(L)90-113
17.1% usage rate
8/21/26vs GSV(W)73-70
33.3% usage rate
8/16/26@ SEA(W)82-80
9.8% usage rate
8/12/26@ GSV(L)71-91
10% usage rate
8/10/26@ SEA(L)88-97
13% usage rate
8/8/26vs IND(L)86-90
14.6% usage rate
8/5/26vs LAS(W)95-88
14.3% usage rate
8/3/26vs PHX(L)101-106
28% usage rate
8/1/26vs LVA(W)84-83
12.5% usage rate
7/30/26vs CON(W)94-88
9.1% usage rate
7/22/26@ NYL(L)94-95
23.8% usage rate
7/19/26@ ATL(L)91-93
16.7% usage rate