games with minutes
36
100th percentile
last played thu 9/24
league median 12
games with minutes
36
100th percentile
last played thu 9/24
league median 12
avg minutes
10.2
20th percentile
league median 17.2
WAR44
0.4
23rd percentile
league median 1.0
EPM
-1.4
22nd percentile
league median -0.2
avg fpts
6.7
23rd percentile
last game 23.0
league median 13.1
-12.5
21st percentile
league avg 0.2
92.3
15th percentile
league avg 105.4
104.8
50th percentile
league avg 105.3
37.9%
17th percentile
league avg 45.4%
22.0%
5th percentile
league avg 33.7%
49.4%
18th percentile
league avg 56.1%
1.67
64th percentile
league avg 1.54
5.3%
59th percentile
league avg 5.1%
11.4%
37th percentile
league avg 14.9%
10.2
20th percentile
league avg 17.8
16.6%
39th percentile
league avg 18.7%
83.4
55th percentile
league avg 80.7
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 | +6.5% | 23.4 | 8 |
| Brittney Griner | +5.8% | 24.2 | 6 |
| Aneesah Morrow | +2.8% | 20.3 | 5 |
| Leila Lacan | +0.4% | 30.5 | 8 |
| Raegan Beers | -0.3% | 9.0 | 5 |
| Kennedy Burke | -0.6% | 23.2 | 8 |
| Saniya Rivers | -1.4% | 19.9 | 6 |
| Nell Angloma | -1.5% | 6.4 | 7 |
| Aaliyah Edwards | -1.8% | 19.8 | 6 |
| Charlisse Leger-Walker | -2.7% | 24.8 | 8 |
| Diamond Miller | -3.1% | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 9/24/26 vs TOR | 26.5 | 12 | 4 | 8 | 50% | 1 | 3 | 33% | 3 | 3 | 100% | 4 | 2 | 2 | 2 | 2 | 0 | 3 | 23.0 |
| 9/22/26 @ WAS | 17.8 | 4 | 2 | 3 | 67% | 0 | 1 | 0% | 0 | 0 | n/a | 3 | 1 | 2 | 3 | 0 | 0 | 1 | 11.8 |
| 9/20/26 vs MIN | 20.3 | 15 | 5 | 7 | 71% | 3 | 5 | 60% | 2 | 2 | 100% | 2 | 0 | 2 | 1 | 1 | 1 | 2 | 23.5 |
| 9/17/26 @ ATL | 19.6 | 0 | 0 | 5 | 0% | 0 | 4 | 0% | 0 | 0 | n/a | 2 | 0 | 2 | 1 | 0 | 0 | 0 | 4.0 |
| 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 |
| 36 Games | 367 | 126 | 44 | 116 | 38% | 13 | 59 | 22% | 25 | 26 | 96% | 50 | 17 | 33 | 20 | 8 | 3 | 12 | 241 |
9/24/26vs TOR(W)95-81
18.8% usage rate
9/22/26@ WAS(L)69-79
9.3% usage rate
9/20/26vs MIN(L)89-101
21.7% usage rate
9/17/26@ ATL(L)59-103
11.6% usage rate
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