games with minutes
38
98th percentile
last played sun 8/30
league median 9
games with minutes
38
98th percentile
last played sun 8/30
league median 9
avg minutes
16.6
48th percentile
league median 17.1
WAR44
2.7
86th percentile
league median 1.0
EPM
3.1
96th percentile
league median -0.3
avg fpts
16.9
64th percentile
last game 34.0
league median 12.9
10.4
87th percentile
league avg 0.1
111.3
88th percentile
league avg 104.3
100.9
67th percentile
league avg 104.2
46.4%
64th percentile
league avg 44.2%
30.0%
13th percentile
league avg 34.1%
58.6%
73rd percentile
league avg 54.9%
2.12
80th percentile
league avg 1.57
4.0%
50th percentile
league avg 5.1%
11.6%
46th percentile
league avg 14.9%
16.6
48th percentile
league avg 17.9
24.5%
85th percentile
league avg 18.1%
78.1
10th percentile
league avg 80.5
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 30, 12:23 AM CDTTiffany Hayes is headed for a major workload increase
Tiffany Hayes should move into a much larger role with Golden State's three international players away. She scored 12 points in only 13.4 minutes against New York and has recently handled workloads of 24.8 and 29.6 minutes when the rotation required more from her. Without Gabby Williams, Cecilia Zandalasini and Janelle Salaün, Hayes is a strong candidate to start in Portland and should supply badly needed scoring and perimeter creation. Her recent playing time has swung with game flow, but the roster situation now gives her a much longer leash.
Impact when this player is out.
No qualifying teammate-absence samples were available for this player.
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 @ PDX | 20.9 | 18 | 7 | 12 | 58% | 2 | 5 | 40% | 2 | 2 | 100% | 6 | 1 | 5 | 3 | 2 | 0 | 2 | 34.0 |
| 8/27/26 @ NYL | 13.4 | 12 | 3 | 5 | 60% | 1 | 2 | 50% | 5 | 6 | 83% | 2 | 0 | 2 | 0 | 0 | 1 | 1 | 16.5 |
| 8/26/26 @ CON | 3.0 | 5 | 2 | 3 | 67% | 1 | 1 | 100% | 0 | 0 | n/a | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 9.5 |
| 8/24/26 @ MIN | 18.3 | 14 | 5 | 8 | 63% | 2 | 3 | 67% | 2 | 2 | 100% | 3 | 2 | 1 | 4 | 1 | 0 | 2 | 25.8 |
| 8/21/26 @ CHI | 29.6 | 10 | 3 | 10 | 30% | 0 | 2 | 0% | 4 | 8 | 50% | 7 | 1 | 6 | 4 | 1 | 0 | 2 | 25.8 |
| 8/19/26 vs MIN | 24.8 | 12 | 5 | 12 | 42% | 0 | 5 | 0% | 2 | 2 | 100% | 7 | 4 | 3 | 2 | 1 | 2 | 2 | 28.8 |
| 8/17/26 vs DAL | 19.6 | 10 | 4 | 11 | 36% | 2 | 5 | 40% | 0 | 0 | n/a | 4 | 2 | 2 | 1 | 1 | 0 | 1 | 19.0 |
| 8/12/26 vs CHI | 17.4 | 22 | 8 | 11 | 73% | 1 | 2 | 50% | 5 | 7 | 71% | 6 | 1 | 5 | 5 | 3 | 1 | 2 | 44.5 |
| 38 Games | 631 | 340 | 111 | 239 | 46% | 24 | 80 | 30% | 94 | 116 | 81% | 79 | 21 | 58 | 91 | 30 | 8 | 43 | 642 |
8/30/26@ PDX(W)86-69
31.9% usage rate
8/27/26@ NYL(W)79-60
25% usage rate
8/26/26@ CON(W)89-64
33.3% usage rate
8/24/26@ MIN(W)80-66
28.2% usage rate
8/21/26@ CHI(L)70-73
23.2% usage rate
8/19/26vs MIN(L)66-77
25.4% usage rate
8/17/26vs DAL(W)78-70
26.1% usage rate
8/12/26vs CHI(W)91-71
40.5% usage rate
8/9/26@ LAS(W)84-78
26.8% usage rate
8/7/26@ DAL(W)94-76
20.7% usage rate
8/4/26vs TOR(W)92-81
28.6% usage rate
8/2/26vs TOR(W)96-79
31.1% usage rate
7/29/26@ PHX(L)89-91
25.9% usage rate
7/20/26vs WAS(L)82-90
8.3% usage rate