games with minutes
27
99th percentile
last played fri 8/28
league median 9
games with minutes
27
99th percentile
last played fri 8/28
league median 9
avg minutes
10.7
25th percentile
league median 17.0
WAR44
0.3
15th percentile
league median 1.0
EPM
-1.8
13th percentile
league median -0.2
avg fpts
11.4
44th percentile
last game 18.3
league median 13.2
-2.1
52nd percentile
league avg 0.1
105.5
46th percentile
league avg 107.9
107.6
51st percentile
league avg 107.8
52.8%
83rd percentile
league avg 46.3%
46.7%
league avg 34.9%
63.9%
89th percentile
league avg 56.9%
0.94
31st percentile
league avg 1.62
11.5%
89th percentile
league avg 5.1%
19.6%
81st percentile
league avg 15.0%
10.7
25th percentile
league avg 18.1
20.2%
65th percentile
league avg 18.2%
82.8
25th percentile
league avg 81.4
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 27, 11:22 PM CDTCheyenne Parker-Tyus enters a larger frontcourt mix
Parker-Tyus should have a more reliable path to minutes after NaLyssa Smith was lost for the season. She logged 13.7 minutes in the Aug. 23 win over Toronto, including 11.1 before the late cleanup stretch, and has now appeared in three straight games after returning from concussion protocol. Her workload has still been volatile, so the opening supports a role around 11 minutes with matchup-driven upside rather than an automatic starter-sized assignment.
Impact when this player is out.
| Teammate | Usage% | Min | Games |
|---|---|---|---|
| Mai Yamamoto | +5.3% | 12.3 | 6 |
| Brianna Turner | +4.1% | 16.3 | 13 |
| Jewell Loyd | +1.3% | 25.6 | 12 |
| NaLyssa Smith | +0.6% | 27.8 | 12 |
| Chelsea Gray | +0.2% | 34.6 | 12 |
| Jackie Young | +0.0% | 32.7 | 12 |
| Stephanie Talbot | -0.6% | 14.1 | 13 |
| A'ja Wilson | -1.4% | 34.2 | 12 |
| Dana Evans | -2.6% | 16.5 | 7 |
| Ta'Niya Latson | -4.7% | 8.5 | 5 |
| Kierstan Bell | -6.2% | 10.4 | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 8/28/26 vs TOR | 12.2 | 9 | 3 | 5 | 60% | 1 | 1 | 100% | 2 | 2 | 100% | 7 | 4 | 3 | 0 | 0 | 0 | 0 | 18.3 |
| 8/23/26 @ TOR | 13.7 | 2 | 0 | 1 | 0% | 0 | 0 | n/a | 2 | 2 | 100% | 2 | 1 | 1 | 0 | 1 | 0 | 1 | 6.0 |
| 8/20/26 vs CON | 15.5 | 18 | 4 | 5 | 80% | 2 | 2 | 100% | 8 | 9 | 89% | 9 | 6 | 3 | 1 | 0 | 1 | 3 | 32.3 |
| 8/18/26 vs ATL | 4.0 | 2 | 1 | 2 | 50% | 0 | 0 | n/a | 0 | 0 | n/a | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2.0 |
| 7/22/26 @ WAS | 10.1 | 0 | 0 | 1 | 0% | 0 | 0 | n/a | 0 | 0 | n/a | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 3.3 |
| 7/20/26 @ TOR | 11.0 | 4 | 2 | 2 | 100% | 0 | 0 | n/a | 0 | 0 | n/a | 6 | 1 | 5 | 0 | 0 | 1 | 0 | 13.5 |
| 7/12/26 vs IND | 4.1 | 0 | 0 | 1 | 0% | 0 | 0 | n/a | 0 | 0 | n/a | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2.0 |
| 7/11/26 vs PHX | 14.5 | 15 | 4 | 7 | 57% | 0 | 0 | n/a | 7 | 8 | 88% | 7 | 2 | 5 | 0 | 0 | 1 | 1 | 25.3 |
| 27 Games | 289 | 144 | 47 | 89 | 53% | 7 | 15 | 47% | 43 | 54 | 80% | 75 | 27 | 48 | 15 | 10 | 16 | 16 | 308 |
8/28/26vs TOR(W)93-73
18.8% usage rate
8/23/26@ TOR(W)88-78
10.3% usage rate
8/20/26vs CON(W)101-78
29.3% usage rate
8/18/26vs ATL(L)82-97
22.2% usage rate
7/22/26@ WAS(L)99-100
4.5% usage rate
7/20/26@ TOR(W)109-83
8.7% usage rate
7/12/26vs IND(L)75-109
11.1% usage rate
7/11/26vs PHX(W)106-58
34.3% usage rate
7/9/26@ PDX(W)88-80
16.7% usage rate
7/5/26vs IND(L)68-84
28.6% usage rate
7/3/26vs CHI(W)98-90
22.2% usage rate
6/28/26@ CHI(W)107-99
8.3% usage rate
6/25/26vs DAL(W)99-84
25% usage rate
6/23/26vs NYL(L)76-87
21.1% usage rate