UConn
2026 Team Stats (40 games)
76.6
PPG
65.2
Opp
+11.4
Margin
47.2%
FG%
34.4%
3P%
72.4%
FT%
36.6
RPG
18.1
APG
10.9
TO
77.5
Pace
81.9
AdjO
59.6
AdjD
#10
Rank
Model Outputs
2025-2026
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 → | 1463 (#3) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1420 (#4) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1185 (#7) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +22.4 (#10) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +35.5 (#10) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.872 (#11) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.928 (#36) | NetEff +20.6 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.972 (#10) | AdjNet +30.8 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.973 (#10) | AdjNet +31.1 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.884 (#10) | AdjO 81.9 | AdjD 59.6 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.797 (#9) | AdjO 75.7 | AdjD 60.6 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.968 (#7) | 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 → | 0.957 (#7) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1427 (#4) | RD 87 | GP 40 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
T. Reed Jr.
|
- | 35 | 27.3 | 14.7 | 9.0 | 2.3 | 0.9 | 2.0 | 1.9 | 9.9 | 17.1 | 160 | 9.4 | 17.9 | 60.7 | 0.0 | 61.7 | 1.69 | 62.2 | 60.7 |
A. Karaban
|
- | 40 | 34.3 | 13.2 | 5.3 | 2.4 | 0.8 | 0.8 | 1.1 | 10.1 | 11.2 | 181 | 7.5 | 15.5 | 46.4 | 37.4 | 85.1 | 1.4 | 59.4 | 55.9 |
Solo Ball
|
- | 39 | 28.3 | 12.8 | 3.0 | 1.5 | 0.4 | 0.2 | 1.2 | 10.7 | 6.2 | 167 | 7.3 | 12.3 | 39.2 | 30.0 | 85.2 | 1.25 | 53.7 | 48.4 |
Braylon Mullins
|
- | 33 | 28.2 | 12.0 | 3.5 | 1.4 | 1.0 | 0.6 | 1.2 | 10.5 | 6.8 | 124 | 8.3 | 15.5 | 42.1 | 33.5 | 88.9 | 1.05 | 54.6 | 52.4 |
S. Demary Jr.
|
- | 39 | 28.4 | 10.1 | 4.5 | 5.9 | 1.6 | 0.3 | 2.2 | 7.2 | 12.9 | -6 | -0.3 | -0.7 | 44.6 | 38.5 | 80.1 | -0.93 | 58.0 | 50.9 |
Eric Reibe
|
- | 40 | 13.8 | 5.9 | 3.3 | 0.5 | 0.2 | 0.7 | 0.6 | 4.0 | 6.1 | 36 | 1.6 | 4.3 | 65.8 | 30.8 | 52.1 | -0.2 | 66.2 | 67.1 |
J. Ross
|
- | 38 | 17.5 | 4.6 | 2.5 | 0.8 | 0.8 | 0.4 | 0.6 | 3.2 | 5.2 | -55 | -3.9 | -24.3 | 50.4 | 39.1 | 69.2 | 1.27 | 63.0 | 60.7 |
Jaylin Stewart
|
- | 32 | 16.2 | 4.2 | 2.6 | 1.1 | 0.5 | 0.3 | 0.7 | 3.6 | 4.4 | 114 | 5.2 | 12.0 | 43.0 | 34.5 | 59.3 | 0.97 | 52.8 | 51.3 |
M. Smith
|
G | 40 | 15.9 | 3.6 | 1.5 | 3.0 | 0.8 | 0.1 | 0.9 | 3.2 | 4.8 | -3 | -0.6 | -9.8 | 38.0 | 44.7 | 53.2 | -0.05 | 48.1 | 46.1 |
D. Koroma
|
F | 17 | 5.4 | 1.4 | 0.9 | 0.2 | 0.4 | 0.1 | 0.3 | 0.9 | 1.7 | 41 | 3.4 | 19.6 | 56.2 | 0 | 54.5 | 0.4 | 57.6 | 56.2 |
A. Millender
|
- | 18 | 3.3 | 0.6 | 0.3 | 0.4 | 0.2 | 0.0 | 0.2 | 0.6 | 0.7 | 12 | 1.1 | 11.1 | 36.4 | 14.3 | 66.7 | -0.03 | 44.6 | 40.9 |
J. Furphy
|
- | 14 | 2.5 | 0.4 | 0.1 | 0.0 | 0.1 | 0.0 | 0.1 | 0.5 | -0.1 | -12 | -1.5 | -20.2 | 42.9 | 0.0 | 0 | -0.28 | 42.9 | 42.9 |
U. Paunovic
|
- | 14 | 1.1 | 0.1 | 0.1 | 0.1 | 0.0 | 0.0 | 0.0 | 0.1 | 0.2 | - | - | - | 50.0 | 0.0 | 0 | - | 50.0 | 50.0 |
Jayden Ross
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 127 | 6.3 | 17.4 | - | - | - | 1.27 | - | - |
Rrezon Elezaj
|
- | 4 | 1.2 | 0.0 | 0.8 | 0.0 | 0.0 | 0.2 | 0.0 | 0.5 | 0.5 | 0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | -0.01 | 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