games with minutes
32
99th percentile
last played sun 8/30
league median 10
games with minutes
32
99th percentile
last played sun 8/30
league median 10
avg minutes
8.8
18th percentile
league median 17.1
WAR44
0.5
31st percentile
league median 1.0
EPM
-0.8
32nd percentile
league median -0.2
avg fpts
5.6
19th percentile
last game 5.8
league median 12.3
-11.9
23rd percentile
league avg 0.2
91.1
15th percentile
league avg 105.5
103.0
61st percentile
league avg 105.3
35.5%
9th percentile
league avg 45.5%
19.6%
3rd percentile
league avg 33.8%
46.5%
9th percentile
league avg 56.1%
2.17
84th percentile
league avg 1.53
5.6%
62nd percentile
league avg 5.1%
11.4%
41st percentile
league avg 14.9%
8.8
18th percentile
league avg 17.8
16.7%
42nd percentile
league avg 18.5%
83.3
53rd percentile
league avg 80.3
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, 12:31 AM CDTKneepkens remains a gameflow-sensitive reserve
Gianna Kneepkens played 14.2 minutes and scored five points in Friday's 20-point loss to Indiana, but the expanded total came as Connecticut leaned on its reserves through a lopsided second half. She remains behind the starting backcourt and Hailey Van Lith in the normal creation order. Kennedy Burke's absence for national-team duty keeps a modest opening available, yet Kneepkens has not established a dependable high-minute role. A competitive game against Dallas points to a smaller reserve assignment, with additional work available if foul trouble, another absence or the score forces Connecticut deeper into the bench.
Impact when this player is out.
| Teammate | Usage% | Min | Games |
|---|---|---|---|
| Olivia Nelson-Ododa | +6.8% | 23.4 | 8 |
| Brittney Griner | +5.8% | 24.2 | 6 |
| Aneesah Morrow | +2.8% | 20.3 | 5 |
| Raegan Beers | +0.7% | 9.0 | 5 |
| Leila Lacan | +0.6% | 30.5 | 8 |
| Kennedy Burke | -0.6% | 23.2 | 8 |
| Aaliyah Edwards | -0.8% | 19.8 | 6 |
| Nell Angloma | -1.0% | 6.4 | 7 |
| Saniya Rivers | -1.8% | 19.9 | 6 |
| Charlisse Leger-Walker | -2.6% | 24.8 | 8 |
| Diamond Miller | -3.2% | 23.8 | 8 |
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 @ DAL | 12.1 | 2 | 1 | 4 | 25% | 0 | 2 | 0% | 0 | 0 | n/a | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 5.8 |
| 8/28/26 @ IND | 14.2 | 5 | 2 | 5 | 40% | 0 | 3 | 0% | 1 | 1 | 100% | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 7.5 |
| 8/26/26 vs GSV | 15.5 | 0 | 0 | 6 | 0% | 0 | 4 | 0% | 0 | 0 | n/a | 3 | 0 | 3 | 1 | 1 | 1 | 1 | 8.8 |
| 8/25/26 vs CHI | 7.6 | 0 | 0 | 2 | 0% | 0 | 1 | 0% | 0 | 0 | n/a | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 |
| 8/22/26 @ LAS | 18.6 | 6 | 2 | 7 | 29% | 0 | 1 | 0% | 2 | 2 | 100% | 3 | 1 | 2 | 1 | 1 | 0 | 1 | 12.8 |
| 8/20/26 @ LVA | 11.4 | 2 | 1 | 4 | 25% | 0 | 2 | 0% | 0 | 0 | n/a | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 3.3 |
| 8/18/26 vs LAS | 1.7 | 0 | 0 | 0 | n/a | 0 | 0 | n/a | 0 | 0 | n/a | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 |
| 8/15/26 vs NYL | 4.2 | 0 | 0 | 2 | 0% | 0 | 2 | 0% | 0 | 0 | n/a | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0 |
| 32 Games | 283 | 95 | 33 | 93 | 35% | 9 | 46 | 20% | 20 | 21 | 95% | 39 | 14 | 25 | 13 | 5 | 2 | 6 | 179 |
8/30/26@ DAL(L)71-97
13.8% usage rate
8/28/26@ IND(L)91-111
14.7% usage rate
8/26/26vs GSV(L)64-89
17.5% usage rate
8/25/26vs CHI(W)87-81
12.5% usage rate
8/22/26@ LAS(L)68-77
16.7% usage rate
8/20/26@ LVA(L)78-101
14.8% usage rate
8/18/26vs LAS(W)85-77
0% usage rate
8/15/26vs NYL(L)75-82
25% usage rate
8/13/26vs ATL(L)69-104
18.9% usage rate
8/2/26@ DAL(L)63-83
16.7% usage rate
7/22/26@ IND(L)88-123
11.1% usage rate
7/19/26@ PHX(L)63-72
0% usage rate
7/17/26@ PHX(W)96-83
12.5% usage rate
7/10/26vs GSV(L)64-79
5% usage rate