games with minutes
36
99th percentile
last played sat 8/29
league median 12
games with minutes
36
99th percentile
last played sat 8/29
league median 12
avg minutes
13.2
37th percentile
league median 16.7
WAR44
1.1
57th percentile
league median 1.0
EPM
0.1
60th percentile
league median -0.2
avg fpts
9.3
37th percentile
last game 14.5
league median 12.9
-2.5
47th percentile
league avg 0.1
97.5
23rd percentile
league avg 106.0
100.0
74th percentile
league avg 105.9
35.0%
7th percentile
league avg 45.7%
33.1%
39th percentile
league avg 33.3%
49.3%
14th percentile
league avg 56.2%
1.67
65th percentile
league avg 1.58
0.7%
17th percentile
league avg 5.0%
10.2%
35th percentile
league avg 15.0%
13.2
37th percentile
league avg 17.7
18.1%
51st percentile
league avg 18.5%
84.9
79th percentile
league avg 82.4
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 CDTRachel Banham remains a matchup-dependent reserve
Rachel Banham remains a second-unit or depth option for the Chicago Sky. She has averaged 15.0 minutes across her last 5 appearances. 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 |
|---|---|---|---|
| Kamilla Cardoso | +8.5% | 26.6 | 4 |
| Jacy Sheldon | +2.1% | 14.9 | 4 |
| Elizabeth Williams | +1.3% | 14.4 | 4 |
| Natasha Cloud | -0.9% | 28.1 | 4 |
| Gabriela Jaquez | -4.1% | 15.8 | 4 |
| Sydney Taylor | -6.3% | 28.3 | 4 |
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 | 19.7 | 3 | 1 | 6 | 17% | 1 | 3 | 33% | 0 | 0 | n/a | 4 | 0 | 4 | 3 | 1 | 0 | 1 | 14.5 |
| 8/25/26 @ CON | 15.4 | 3 | 1 | 5 | 20% | 1 | 5 | 20% | 0 | 0 | n/a | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5.0 |
| 8/23/26 vs IND | 13.8 | 6 | 2 | 5 | 40% | 2 | 5 | 40% | 0 | 0 | n/a | 2 | 0 | 2 | 3 | 0 | 0 | 0 | 14.0 |
| 8/21/26 vs GSV | 17.0 | 7 | 2 | 7 | 29% | 2 | 5 | 40% | 1 | 1 | 100% | 2 | 0 | 2 | 2 | 1 | 0 | 0 | 15.5 |
| 8/18/26 vs NYL | 12.4 | 3 | 1 | 5 | 20% | 1 | 3 | 33% | 0 | 0 | n/a | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5.0 |
| 8/16/26 @ SEA | 12.2 | 5 | 2 | 3 | 67% | 1 | 2 | 50% | 0 | 0 | n/a | 4 | 0 | 4 | 1 | 1 | 0 | 1 | 13.5 |
| 8/12/26 @ GSV | 19.7 | 11 | 4 | 9 | 44% | 3 | 7 | 43% | 0 | 0 | n/a | 4 | 0 | 4 | 0 | 1 | 1 | 1 | 21.0 |
| 8/10/26 @ SEA | 12.4 | 8 | 3 | 6 | 50% | 2 | 5 | 40% | 0 | 1 | 0% | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 11.8 |
| 36 Games | 477 | 168 | 57 | 163 | 35% | 40 | 121 | 33% | 14 | 17 | 82% | 45 | 3 | 42 | 45 | 11 | 8 | 27 | 336 |
8/29/26@ NYL(L)66-85
16.7% usage rate
8/25/26@ CON(L)81-87
12.5% usage rate
8/23/26vs IND(L)90-113
14.7% usage rate
8/21/26vs GSV(W)73-70
18.9% usage rate
8/18/26vs NYL(W)93-86
17.9% usage rate
8/16/26@ SEA(W)82-80
11.1% usage rate
8/12/26@ GSV(L)71-91
19.2% usage rate
8/10/26@ SEA(L)88-97
18.8% usage rate
8/8/26vs IND(L)86-90
31.1% usage rate
8/5/26vs LAS(W)95-88
19.4% usage rate
8/3/26vs PHX(L)101-106
16.7% usage rate
8/1/26vs LVA(W)84-83
11.1% usage rate
7/22/26@ NYL(L)94-95
37.5% usage rate
7/19/26@ ATL(L)91-93
20% usage rate