UConn Huskies
2026 Team Stats (39 games)
86.8
PPG
50.4
Opp
+36.4
Margin
51.5%
FG%
38.5%
3P%
74.1%
FT%
37.6
RPG
23.2
APG
12.6
TO
84.3
Pace
Model Outputs
2025-2026
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1229 (#4) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +57.2 (#5) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.961 (#4) | AdjO 81.7 | AdjD 46.6 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.996 (#3) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. More → | 0.995 (#4) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1518 (#4) | RD 102 | GP 39 |
2026 Schedule & Results
2026 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
S. Strong
|
F | 38 | 27.5 | 18.4 | 7.7 | 3.8 | 3.4 | 1.6 | 1.9 | 12.6 | 20.5 | 465 | 20.2 | 29.8 | 58.2 | 40.4 | 83.3 | 3.57 | 67.1 | 64.6 |
A. Fudd
|
G | 39 | 28.8 | 17.3 | 2.6 | 3.1 | 2.5 | 0.5 | 1.5 | 13.7 | 10.8 | 533 | 19.7 | 31.1 | 48.1 | 44.7 | 95.5 | 5.77 | 60.8 | 59.1 |
B. Quiñonez
|
F | 31 | 20.2 | 10.7 | 3.1 | 2.1 | 2.0 | 0.5 | 2.0 | 8.0 | 8.5 | - | - | - | 53.6 | 39.5 | 75.0 | - | 62.3 | 60.5 |
A. Shade
|
G | 39 | 26.8 | 7.6 | 3.5 | 2.8 | 1.8 | 0.1 | 1.4 | 7.5 | 7.0 | 480 | 20.0 | 32.7 | 40.4 | 31.8 | 73.7 | 6.44 | 49.4 | 48.5 |
A. Ziebell
|
G | 39 | 18.0 | 7.2 | 1.6 | 1.2 | 0.9 | 0.3 | 0.5 | 5.1 | 5.8 | 320 | 13.3 | 42.3 | 50.3 | 41.1 | 78.8 | 4.59 | 66.7 | 65.0 |
KK Arnold
|
G | 38 | 24.4 | 6.9 | 2.2 | 4.6 | 2.7 | 0.1 | 1.1 | 4.7 | 10.6 | 313 | 13.6 | 23.0 | 54.4 | 33.3 | 69.6 | 0.62 | 62.5 | 59.7 |
K. Heckel
|
G | 39 | 18.9 | 6.9 | 2.8 | 2.8 | 1.4 | 0.1 | 1.1 | 5.2 | 7.6 | 311 | 13.0 | 30.1 | 53.9 | 38.3 | 68.9 | 3.72 | 60.1 | 58.3 |
S. Williams
|
F | 38 | 17.4 | 6.7 | 4.4 | 1.5 | 0.7 | 1.3 | 1.6 | 4.8 | 8.3 | 212 | 9.2 | 18.9 | 58.8 | 0 | 69.0 | 3.17 | 61.2 | 58.8 |
J. El Alfy
|
C | 35 | 11.5 | 4.0 | 4.1 | 0.9 | 0.2 | 0.3 | 0.7 | 2.7 | 6.1 | 108 | 5.4 | 30.2 | 62.8 | 0 | 57.5 | -0.55 | 63.2 | 62.8 |
K. Fisher
|
G | 30 | 5.6 | 2.7 | 0.7 | 0.6 | 0.3 | 0.0 | 0.5 | 2.5 | 1.4 | 30 | 1.5 | 12.8 | 43.4 | 0.0 | 71.4 | -2.37 | 47.5 | 43.4 |
I. Brady
|
F | 2 | 11.5 | 2.5 | 3.0 | 0.5 | 0.5 | 0.0 | 0.0 | 2.0 | 4.5 | -4 | -2.0 | -18.1 | 50.0 | 0.0 | 100.0 | -0.31 | 56.3 | 50.0 |
A. Patterson
|
F | 30 | 4.9 | 1.7 | 1.4 | 0.1 | 0.1 | 0.1 | 0.3 | 1.1 | 2.0 | 75 | 3.8 | 44.5 | 51.5 | 0 | 58.1 | 2.92 | 55.7 | 51.5 |
C. Ducharme
|
G | 25 | 7.4 | 1.4 | 1.8 | 0.8 | 0.3 | 0.2 | 0.6 | 2.0 | 2.0 | 66 | 4.1 | 41.9 | 26.5 | 17.4 | 75.0 | 0.52 | 34.3 | 30.6 |
G. Malou-Mamel
|
C | 2 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 0.5 | 9 | 4.5 | 88.9 | 100.0 | 0 | 0 | 0.99 | 100.0 | 100.0 |
M. Cheli
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Numbers/Game vs RAPM
X-axis = Numbers/Game (PTS+REB+AST+STL+BLK-TO-FGA), Y-axis = RAPM.
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