UConn
2023 Team Stats (34 games)
78.4
PPG
64.3
Opp
+14.0
Margin
46.6%
FG%
36.7%
3P%
76.9%
FT%
39.2
RPG
17.8
APG
12.8
TO
80.5
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 → | 1632 (#1) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1600 (#2) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +47.3 (#1) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.882 (#2) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.898 (#5) | NetEff +19.4 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.965 (#1) | AdjNet +28.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.965 (#1) | AdjNet +28.8 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Adama Sanogo
|
- | 37 | 26.8 | 16.9 | 7.8 | 1.2 | 0.7 | 0.8 | 1.9 | 10.7 | 14.9 | - | - | - | 60.6 | 38.1 | 76.9 | - | 71.0 | 62.6 |
J. Hawkins
|
- | 35 | 30.0 | 16.6 | 3.9 | 1.3 | 0.7 | 0.5 | 1.3 | 11.8 | 9.8 | 8 | 0.7 | 1.1 | 41.1 | 38.8 | 90.4 | 0.65 | 62.0 | 53.3 |
Tristen Newton
|
- | 37 | 28.8 | 10.1 | 4.5 | 4.7 | 1.0 | 0.2 | 2.4 | 6.9 | 11.2 | - | - | - | 38.6 | 37.0 | 81.8 | - | 59.5 | 46.5 |
A. Karaban
|
- | 37 | 29.0 | 9.2 | 4.5 | 1.6 | 0.5 | 0.7 | 1.2 | 6.4 | 8.9 | -2 | -0.2 | -0.2 | 48.1 | 41.5 | 82.4 | 0.74 | 67.3 | 60.5 |
Donovan Clingan
|
- | 37 | 12.9 | 6.9 | 5.6 | 0.5 | 0.4 | 1.8 | 1.0 | 4.1 | 10.1 | - | - | - | 65.3 | 0.0 | 48.5 | - | 71.1 | 65.3 |
A. Jackson Jr.
|
- | 35 | 29.1 | 6.7 | 6.2 | 4.8 | 1.1 | 0.5 | 2.0 | 5.4 | 11.9 | 73 | 6.6 | 8.8 | 43.7 | 29.1 | 61.9 | 1.49 | 56.6 | 49.7 |
J. Calcaterra
|
- | 36 | 14.2 | 5.6 | 1.7 | 1.3 | 0.6 | 0.1 | 0.8 | 4.2 | 4.2 | - | - | - | 41.2 | 42.9 | 100.0 | - | 63.6 | 54.9 |
N. Alleyne
|
- | 37 | 17.7 | 5.2 | 1.2 | 0.9 | 0.4 | 0.1 | 0.6 | 4.5 | 2.6 | - | - | - | 37.3 | 32.2 | 87.1 | - | 53.7 | 46.1 |
Hassan Diarra
|
- | 34 | 12.2 | 1.9 | 1.3 | 1.7 | 0.7 | 0.2 | 1.0 | 1.8 | 2.9 | - | - | - | 28.3 | 14.8 | 52.2 | - | 44.9 | 31.7 |
R. Springs
|
- | 17 | 2.1 | 0.9 | 0.6 | 0.2 | 0.0 | 0.0 | 0.1 | 0.4 | 1.2 | - | - | - | 66.7 | 0 | 100.0 | - | 109.0 | 66.7 |
Samson Johnson
|
- | 11 | 2.7 | 0.4 | 0.5 | 0.1 | 0.2 | 0.0 | 0.2 | 0.5 | 0.5 | - | - | - | 33.3 | 0.0 | 0 | - | 33.3 | 33.3 |
A. Roumoglou
|
- | 18 | 1.5 | 0.2 | 0.3 | 0.1 | 0.1 | 0.0 | 0.1 | 0.3 | 0.3 | 44 | 4.0 | 9.5 | 20.0 | 0.0 | 0.0 | 1.29 | 36.8 | 20.0 |
Andrew Hurley
|
- | 14 | 1.4 | 0.1 | 0.2 | 0.0 | 0.1 | 0.0 | 0.2 | 0.4 | -0.1 | - | - | - | 16.7 | 0.0 | 0 | - | 16.7 | 16.7 |
C. Floyd Jr.
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 61 | 5.5 | 7.2 | - | - | - | 1.33 | - | - |
Y. Hasson
|
- | 10 | 1.0 | 0.0 | 0.1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | -0.1 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
Andre Johnson Jr.
|
G | 8 | 1.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1 | -0.1 | 73 | 6.6 | 8.8 | 0.0 | 0.0 | 0 | 1.49 | 0.0 | 0.0 |
E. Hendry
|
- | 8 | 0.9 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1 | 0.0 | -0.1 | - | - | - | 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