UConn
2014 Team Stats (26 games)
70.7
PPG
63.8
Opp
+6.2
Margin
44.5%
FG%
38.2%
3P%
76.1%
FT%
33.5
RPG
12.4
APG
12.2
TO
74.8
Pace
Model Outputs
2013-2014
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 → | 1920 (#1) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1646 (#5) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +39.9 (#15) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.632 (#26) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.684 (#18) | NetEff +6.6 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.849 (#18) | AdjNet +15.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.849 (#18) | AdjNet +15.0 |
2014 Schedule & Results
2014 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. Napier
|
G | 30 | 35.4 | 17.6 | 5.8 | 4.8 | 1.9 | 0.3 | 2.9 | 11.6 | 15.7 | - | - | - | 42.1 | 37.6 | 85.9 | - | 62.6 | 50.6 |
D. Daniels
|
F | 29 | 29.6 | 12.7 | 6.0 | 0.5 | 0.7 | 1.4 | 1.7 | 9.4 | 10.3 | - | - | - | 47.4 | 43.2 | 75.8 | - | 61.1 | 53.3 |
R. Boatright
|
G | 30 | 32.7 | 12.0 | 3.4 | 3.3 | 1.7 | 0.1 | 2.0 | 8.9 | 9.5 | - | - | - | 37.3 | 38.6 | 80.3 | - | 55.8 | 43.7 |
N. Giffey
|
G | 30 | 25.0 | 8.5 | 3.7 | 0.7 | 0.7 | 0.5 | 1.0 | 4.9 | 8.2 | - | - | - | 54.1 | 47.0 | 69.4 | - | 74.9 | 67.2 |
L. Kromah
|
G | 30 | 22.6 | 6.0 | 2.7 | 1.2 | 1.3 | 0.3 | 1.3 | 5.1 | 5.1 | - | - | - | 44.7 | 29.2 | 62.8 | - | 52.9 | 49.3 |
O. Calhoun
|
G | 23 | 12.5 | 3.8 | 1.3 | 0.4 | 0.1 | 0.1 | 1.0 | 4.1 | 0.7 | - | - | - | 31.9 | 23.3 | 72.2 | - | 42.7 | 39.4 |
A. Brimah
|
C | 30 | 16.3 | 3.6 | 2.8 | 0.4 | 0.1 | 2.3 | 0.7 | 2.1 | 6.5 | - | - | - | 65.1 | 0 | 55.6 | - | 65.8 | 65.1 |
P. Nolan
|
F | 30 | 14.5 | 3.3 | 2.2 | 0.2 | 0.2 | 0.5 | 0.6 | 2.3 | 3.4 | - | - | - | 54.4 | 0 | 76.7 | - | 60.3 | 54.4 |
T. Samuel
|
G | 22 | 9.3 | 2.4 | 1.0 | 0.8 | 0.3 | 0.0 | 0.6 | 1.3 | 2.5 | - | - | - | 48.3 | 0 | 79.2 | - | 67.0 | 48.3 |
K. Facey
|
F | 15 | 4.9 | 1.4 | 1.5 | 0.1 | 0.1 | 0.1 | 0.1 | 1.1 | 2.1 | - | - | - | 43.8 | 66.7 | 100.0 | - | 57.7 | 50.0 |
T. Olander
|
F | 23 | 8.0 | 1.3 | 1.2 | 0.0 | 0.4 | 0.1 | 0.1 | 1.1 | 1.8 | - | - | - | 40.0 | 20.0 | 80.0 | - | 49.3 | 42.0 |
L. Tolksdorf
|
F | 9 | 3.1 | 1.0 | 0.7 | 0.1 | 0.0 | 0.0 | 0.3 | 1.3 | 0.1 | - | - | - | 25.0 | 25.0 | 50.0 | - | 34.9 | 33.3 |
P. Lenehan
|
G | 4 | 2.8 | 1.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.2 | 0.8 | 0.2 | - | - | - | 33.3 | 50.0 | 50.0 | - | 51.5 | 50.0 |
N. Amilo
|
F | 2 | 2.5 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 1.5 | - | - | - | 0.0 | 0 | 100.0 | - | 53.2 | 0.0 |
T. Watts
|
G | 5 | 0.8 | 0.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4 | -0.2 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
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