UConn Huskies
2023 Team Stats (30 games)
75.6
PPG
56.8
Opp
+18.8
Margin
49.8%
FG%
35.1%
3P%
73.6%
FT%
41.0
RPG
18.4
APG
16.4
TO
81.4
Pace
Model Outputs
2022-2023
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More → | 1436 (#1) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1570 (#1) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +67.7 (#1) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.996 (#1) | - |
2023 Schedule & Results
2023 Roster
Minutes by Position
The surface stays filled across the five on-court roles. Use the labels or legend to isolate how each player absorbs guard-to-big minutes.
| Player | Pos | GP | MIN | PTS | REB | AST | STL | BLK | TO | FGA | Numbers | PM | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A. Fudd
|
G | 11 | 29.2 | 16.3 | 2.0 | 1.5 | 1.6 | 0.5 | 2.1 | 13.8 | 5.9 | - | - | - | 46.1 | 32.5 | 86.7 | - | 56.4 | 54.6 |
Aaliyah Edwards
|
- | 30 | 32.2 | 15.6 | 8.9 | 2.2 | 1.3 | 1.0 | 3.2 | 10.7 | 15.2 | - | - | - | 57.9 | 0 | 78.2 | - | 62.4 | 57.9 |
Lou Lopez Sénéchal
|
- | 30 | 30.8 | 14.7 | 3.0 | 1.7 | 0.5 | 0.3 | 1.8 | 11.7 | 6.6 | - | - | - | 46.2 | 41.3 | 82.2 | - | 57.6 | 54.3 |
Dorka Juhász
|
- | 26 | 33.8 | 14.2 | 10.1 | 3.1 | 1.5 | 1.4 | 2.2 | 11.2 | 16.9 | - | - | - | 51.5 | 27.0 | 57.5 | - | 56.2 | 55.0 |
A. Griffin
|
F | 28 | 30.7 | 12.2 | 6.3 | 1.2 | 1.4 | 0.4 | 1.8 | 7.8 | 12.0 | - | - | - | 56.7 | 33.3 | 79.4 | - | 65.1 | 59.9 |
C. Ducharme
|
G | 17 | 22.1 | 7.5 | 3.9 | 1.3 | 0.3 | 0.2 | 1.8 | 6.9 | 4.5 | - | - | - | 41.5 | 35.1 | 60.0 | - | 51.0 | 50.0 |
Nika Mühl
|
- | 30 | 36.2 | 7.2 | 3.6 | 7.5 | 1.3 | 0.2 | 3.4 | 5.7 | 10.8 | - | - | - | 42.1 | 35.6 | 74.5 | - | 55.6 | 51.5 |
A. DeBerry
|
F | 21 | 8.8 | 2.5 | 1.8 | 0.8 | 0.3 | 0.7 | 1.2 | 2.2 | 2.6 | - | - | - | 46.8 | 30.8 | 50.0 | - | 51.6 | 51.1 |
A. Patterson
|
F | 23 | 9.7 | 1.7 | 2.2 | 0.7 | 0.2 | 0.3 | 0.7 | 1.3 | 3.0 | - | - | - | 41.9 | 0 | 61.9 | - | 48.5 | 41.9 |
I. Bettencourt
|
G | 22 | 8.2 | 1.5 | 0.8 | 1.2 | 0.4 | 0.1 | 1.0 | 1.1 | 1.9 | - | - | - | 44.0 | 38.5 | 83.3 | - | 57.9 | 54.0 |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
Advanced: Numbers = PTS+REB+AST+STL+BLK-TO-FGA, PM = total +/-, PM/G = per game, PM/40 = per 40 minutes, RAPM = Regularized Adj Plus-Minus, TS% = True Shooting, eFG% = Effective FG