UConn
2022 Team Stats (27 games)
73.8
PPG
63.9
Opp
+9.7
Margin
43.5%
FG%
35.4%
3P%
74.7%
FT%
40.2
RPG
13.6
APG
10.7
TO
79.9
Pace
Model Outputs
2021-2022
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 → | 1679 (#1) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1607 (#2) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +43.9 (#7) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.703 (#22) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.849 (#23) | NetEff +15.0 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.734 (#31) | AdjNet +8.8 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.735 (#32) | AdjNet +8.8 |
2022 Schedule & Results
2022 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
R.J. Cole
|
G | 28 | 32.5 | 15.1 | 3.2 | 4.1 | 1.0 | 0.1 | 1.7 | 12.0 | 9.8 | - | - | - | 41.5 | 34.4 | 85.1 | - | 56.0 | 48.1 |
Adama Sanogo
|
- | 28 | 29.0 | 14.2 | 8.9 | 1.0 | 0.9 | 1.9 | 2.1 | 10.9 | 13.9 | - | - | - | 50.0 | 0 | 68.3 | - | 58.5 | 50.0 |
T. Martin
|
- | 27 | 32.1 | 13.8 | 7.5 | 2.0 | 0.9 | 0.5 | 1.7 | 10.3 | 12.6 | - | - | - | 44.4 | 44.3 | 69.4 | - | 60.0 | 51.4 |
T. Polley
|
- | 30 | 20.0 | 7.3 | 1.4 | 0.3 | 0.5 | 0.3 | 0.3 | 5.3 | 4.2 | - | - | - | 36.7 | 33.3 | 90.7 | - | 61.9 | 48.4 |
I. Whaley
|
F | 29 | 27.7 | 7.3 | 4.8 | 1.0 | 0.8 | 2.2 | 1.2 | 5.4 | 9.4 | - | - | - | 49.4 | 27.7 | 74.4 | - | 60.5 | 53.5 |
A. Jackson Jr.
|
- | 32 | 29.4 | 7.0 | 6.9 | 3.0 | 1.2 | 0.6 | 2.0 | 4.9 | 11.8 | 73 | 6.6 | 8.8 | 39.9 | 33.9 | 72.0 | 1.49 | 61.9 | 45.9 |
J. Hawkins
|
- | 26 | 14.7 | 5.4 | 2.0 | 0.5 | 0.3 | 0.3 | 0.9 | 4.0 | 3.7 | 8 | 0.7 | 1.1 | 37.1 | 32.8 | 85.7 | 0.65 | 60.1 | 47.1 |
A. Akok
|
- | 20 | 13.7 | 3.9 | 2.9 | 0.3 | 0.2 | 1.1 | 0.1 | 2.0 | 6.2 | - | - | - | 53.7 | 50.0 | 33.3 | - | 78.7 | 64.6 |
Jalen Gaffney
|
- | 30 | 12.2 | 3.7 | 1.3 | 1.9 | 0.6 | 0.1 | 0.8 | 2.7 | 4.0 | - | - | - | 36.6 | 36.1 | 75.8 | - | 57.5 | 44.5 |
Samson Johnson
|
- | 13 | 5.2 | 1.7 | 1.1 | 0.0 | 0.1 | 0.2 | 0.2 | 1.3 | 1.6 | - | - | - | 58.8 | 25.0 | 50.0 | - | 61.5 | 61.8 |
R. Springs
|
- | 8 | 3.5 | 1.2 | 1.1 | 0.1 | 0.0 | 0.0 | 0.1 | 0.9 | 1.5 | - | - | - | 42.9 | 0 | 66.7 | - | 51.9 | 42.9 |
R. Diggins
|
- | 9 | 5.1 | 0.8 | 0.0 | 0.3 | 0.1 | 0.1 | 0.7 | 1.1 | -0.4 | 0 | 0.0 | 0.0 | 30.0 | 33.3 | 0 | 0.03 | 35.0 | 35.0 |
M. Garry
|
G | 5 | 1.8 | 0.4 | 0.4 | 0.2 | 0.2 | 0.0 | 0.4 | 0.4 | 0.4 | - | - | - | 0.0 | 0 | 50.0 | - | 26.6 | 0.0 |
C. Floyd Jr.
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 61 | 5.5 | 7.2 | - | - | - | 1.33 | - | - |
A. Karaban
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | -2 | -0.2 | -0.2 | - | - | - | 0.74 | - | - |
Andrew Hurley
|
- | 6 | 1.8 | 0.0 | 0.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | 0.0 | - | - | - | 0.0 | 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