games with minutes
31
99th percentile
last played sun 8/30
league median 9
games with minutes
31
99th percentile
last played sun 8/30
league median 9
avg minutes
11.2
28th percentile
league median 16.8
WAR44
-0.4
0th percentile
league median 1.0
EPM
-4.0
0th percentile
league median -0.2
avg fpts
7.3
26th percentile
last game 1.5
league median 13.1
-7.8
30th percentile
league avg 0.3
98.8
36th percentile
league avg 104.7
106.5
41st percentile
league avg 104.4
33.9%
7th percentile
league avg 44.9%
35.6%
53rd percentile
league avg 33.7%
47.7%
16th percentile
league avg 55.7%
2.47
88th percentile
league avg 1.50
1.3%
23rd percentile
league avg 5.0%
7.5%
19th percentile
league avg 15.0%
11.2
28th percentile
league avg 17.8
16.2%
32nd percentile
league avg 18.6%
84.7
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 27, 11:08 PM CDTTe-Hina Paopao gets a slightly clearer path to minutes
Te-Hina Paopao remains a low-minute bench option for Atlanta, but the guard depth is thinner after Aaliyah Nye and Jaylyn Sherrod left the roster. Paopao played 5.1 minutes in the August 24 win at Los Angeles, and her current workload estimate is 5.5 minutes with a 0-to-9.5-minute range. Her role still carries a real DNP risk and is not yet a stable rotation workload.
Impact when this player is out.
| Teammate | Usage% | Min | Games |
|---|---|---|---|
| Jaylyn Sherrod | +10.6% | 6.9 | 9 |
| Madina Okot | +3.3% | 6.0 | 8 |
| Jordin Canada | +2.9% | 32.1 | 9 |
| Shatori Walker-Kimbrough | +2.4% | 2.5 | 7 |
| Angel Reese | +1.6% | 30.5 | 9 |
| Isobel Borlase | +1.2% | 13.2 | 9 |
| Naz Hillmon | +0.3% | 25.8 | 9 |
| Allisha Gray | -1.7% | 31.8 | 9 |
| Rhyne Howard | -2.7% | 32.9 | 9 |
| Sika Kone | -21.5% | 2.4 | 5 |
| Brionna Jones | n/a | 16.9 | 9 |
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 8/30/26 vs MIN | 4.0 | 0 | 0 | 1 | 0% | 0 | 1 | 0% | 0 | 0 | n/a | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1.5 |
| 8/28/26 vs PDX | 10.0 | 4 | 2 | 3 | 67% | 0 | 0 | n/a | 0 | 0 | n/a | 1 | 1 | 0 | 2 | 0 | 0 | 1 | 7.8 |
| 8/24/26 @ LAS | 5.1 | 0 | 0 | 2 | 0% | 0 | 1 | 0% | 0 | 0 | n/a | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3.5 |
| 8/22/26 @ PHX | 2.0 | 3 | 1 | 1 | 100% | 1 | 1 | 100% | 0 | 0 | n/a | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3.5 |
| 8/20/26 @ LAS | 13.4 | 8 | 2 | 5 | 40% | 2 | 4 | 50% | 2 | 2 | 100% | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 10.3 |
| 8/18/26 @ LVA | 2.9 | 0 | 0 | 1 | 0% | 0 | 0 | n/a | 0 | 0 | n/a | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 |
| 8/16/26 vs IND | 8.6 | 3 | 1 | 6 | 17% | 1 | 6 | 17% | 0 | 0 | n/a | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3.5 |
| 7/13/26 vs LAS | 4.9 | 2 | 0 | 3 | 0% | 0 | 2 | 0% | 2 | 2 | 100% | 0 | 0 | 0 | 2 | 1 | 0 | 0 | 7.0 |
| 31 Games | 347 | 111 | 38 | 112 | 34% | 26 | 73 | 36% | 9 | 10 | 90% | 24 | 4 | 20 | 42 | 6 | 3 | 17 | 227 |
8/30/26vs MIN(W)89-81
8.3% usage rate
8/28/26vs PDX(L)83-101
14.8% usage rate
8/24/26@ LAS(W)78-71
14.3% usage rate
8/22/26@ PHX(W)99-89
14.3% usage rate
8/20/26@ LAS(W)124-88
16.2% usage rate
8/18/26@ LVA(W)97-82
14.3% usage rate
8/16/26vs IND(L)91-95
26.1% usage rate
7/13/26vs LAS(W)101-92
36.4% usage rate
7/11/26vs PDX(L)92-102
6.7% usage rate
7/9/26vs SEA(W)89-78
3.6% usage rate
7/4/26vs GSV(L)83-88
30.8% usage rate
7/2/26@ WAS(L)76-81
17.6% usage rate
6/27/26@ SEA(L)90-105
13.3% usage rate
6/26/26@ GSV(L)75-78
13.3% usage rate