UConn Huskies
2016 Team Stats (35 games)
88.5
PPG
46.7
Opp
+41.8
Margin
53.1%
FG%
38.1%
3P%
80.3%
FT%
41.6
RPG
21.7
APG
11.7
TO
83.0
Pace
Model Outputs
2015-2016
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 → | 1750 (#1) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1767 (#1) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +61.7 (#1) | HCA +3.0 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.995 (#2) | - |
2016 Schedule & Results
2016 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
B. Stewart
|
F | 34 | 28.4 | 19.1 | 8.9 | 3.9 | 1.7 | 3.4 | 1.6 | 12.5 | 22.9 | - | - | - | 57.8 | 43.6 | 85.2 | 2.98 | 67.1 | 63.0 |
M. Tuck
|
F | 30 | 26.0 | 13.2 | 5.7 | 3.2 | 0.8 | 0.3 | 1.6 | 10.4 | 11.2 | - | - | - | 51.1 | 32.1 | 81.0 | 1.86 | 58.3 | 55.3 |
M. Jefferson
|
G | 34 | 30.2 | 12.3 | 2.5 | 5.5 | 2.6 | 0.2 | 1.8 | 8.7 | 12.6 | - | - | - | 56.2 | 44.1 | 87.8 | 2.78 | 66.5 | 64.5 |
K. Samuelson
|
- | 34 | 24.4 | 11.5 | 3.5 | 2.4 | 1.0 | 0.2 | 1.2 | 8.4 | 9.0 | - | - | - | 49.7 | 39.6 | 84.6 | 2.65 | 64.5 | 62.6 |
Gabby Williams
|
- | 35 | 18.9 | 9.2 | 5.9 | 1.5 | 1.9 | 0.3 | 1.3 | 6.3 | 11.3 | 168 | 6.7 | 44.4 | 64.8 | 0 | 73.1 | 1.32 | 66.6 | 64.8 |
Kia Nurse
|
- | 35 | 27.8 | 9.1 | 1.9 | 2.7 | 1.3 | 0.2 | 1.4 | 7.5 | 6.5 | - | - | - | 44.1 | 35.7 | 74.6 | 3.87 | 55.8 | 52.9 |
N. Collier
|
- | 35 | 17.1 | 7.1 | 5.2 | 0.9 | 1.3 | 1.3 | 0.9 | 5.4 | 9.6 | - | - | - | 54.3 | 16.7 | 91.7 | 1.21 | 59.8 | 54.8 |
N. Butler
|
C | 27 | 12.0 | 5.6 | 4.0 | 0.8 | 0.5 | 0.8 | 1.1 | 4.1 | 6.4 | - | - | - | 55.9 | 0 | 60.5 | 0.42 | 57.7 | 55.9 |
S. Chong
|
G | 31 | 12.7 | 3.8 | 1.4 | 1.1 | 0.6 | 0.1 | 0.7 | 2.9 | 3.3 | - | - | - | 41.6 | 36.4 | 85.7 | 0.24 | 58.2 | 52.8 |
C. Ekmark
|
G | 32 | 9.1 | 2.1 | 1.1 | 0.7 | 0.4 | 0.0 | 0.7 | 1.8 | 1.8 | - | - | - | 44.6 | 36.1 | 50.0 | 0.27 | 56.3 | 56.2 |
B. Pulido
|
G | 26 | 2.6 | 0.4 | 0.2 | 0.1 | 0.0 | 0.0 | 0.0 | 0.7 | -0.0 | - | - | - | 22.2 | 10.0 | 50.0 | -0.05 | 26.5 | 25.0 |
T. Lawlor
|
G | 29 | 3.1 | 0.3 | 0.1 | 0.2 | 0.1 | 0.0 | 0.2 | 0.2 | 0.2 | - | - | - | 42.9 | 40.0 | 50.0 | -0.26 | 57.1 | 57.1 |
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