UConn
2016 Team Stats (12 games)
74.4
PPG
71.3
Opp
+3.1
Margin
43.8%
FG%
39.1%
3P%
81.3%
FT%
34.0
RPG
12.6
APG
10.7
TO
-
Est. poss./game
74.6
Adj PPG
60.2
Adj Opp PPG
#26
Scoring Rank
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 โ | 1311 (#31) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1226 (#36) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1124 (#33) | HCA +98 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +15.3 (#26) | HCA +2.9 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +15.0 (#23) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.835 (#20) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.930 (#23) | AdjNet +22.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.932 (#23) | AdjNet +22.6 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.788 (#26) | AdjO 74.6 | AdjD 60.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.718 (#23) | AdjO 73.2 | AdjD 62.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.835 (#21) | 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 โ | 0.825 (#22) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More โ | 1235 (#36) | RD 102 | GP 36 |
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 GP | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Daniel Hamilton
|
- | 30 | 33.0 | 13.3 | 9.1 | 4.5 | 1.1 | 0.5 | 2.2 | 5.8 | 20.4 | 154 | 28 | 5.5 | 7.7 | 36.8 | 30.5 | 80.7 | -0.27 | 100.2 | 42.0 |
Rodney Purvis
|
G | 30 | 29.5 | 13.2 | 3.1 | 2.0 | 0.9 | 0.1 | 1.6 | 5.1 | 12.6 | 234 | 28 | 8.4 | 13.0 | 44.7 | 43.4 | 67.7 | 4.59 | 119.2 | 55.6 |
Sterling Gibbs
|
G | 30 | 33.5 | 12.5 | 2.3 | 2.3 | 0.9 | 0.0 | 1.6 | 4.4 | 12.0 | 144 | 28 | 5.1 | 7.0 | 39.8 | 41.1 | 86.7 | -1.33 | 117.3 | 54.5 |
Shonn Miller
|
F | 30 | 25.9 | 11.4 | 4.9 | 0.5 | 0.8 | 0.8 | 0.5 | 3.6 | 14.3 | 178 | 28 | 6.4 | 11.2 | 48.6 | 18.2 | 79.5 | 3.41 | 135.7 | 49.5 |
Jalen Adams
|
G | 30 | 23.7 | 7.5 | 2.6 | 2.3 | 1.0 | 0.5 | 1.8 | 3.1 | 9.1 | 139 | 28 | 5.0 | 9.4 | 36.6 | 35.3 | 100.0 | 0.12 | 109.6 | 39.8 |
Amida Brimah
|
C | 21 | 21.4 | 6.3 | 4.7 | 0.1 | 0.1 | 2.6 | 0.8 | 1.8 | 11.3 | 167 | 20 | 8.3 | 16.6 | 67.6 | 0 | 75.0 | 5.94 | 149.9 | 67.6 |
Omar Calhoun
|
G | 30 | 13.4 | 3.4 | 1.4 | 0.7 | 0.3 | 0.2 | 0.5 | 1.3 | 4.3 | 83 | 28 | 3.0 | 9.2 | 50.0 | 47.8 | 84.6 | 1.25 | 117.8 | 64.5 |
Kentan Facey
|
F | 29 | 12.6 | 2.6 | 3.0 | 0.3 | 0.2 | 0.9 | 0.8 | 0.9 | 5.4 | 113 | 28 | 4.0 | 14.5 | 52.0 | 0 | 100.0 | 2.33 | 142.5 | 52.0 |
Phillip Nolan
|
F | 27 | 10.3 | 1.6 | 1.6 | 0.2 | 0.1 | 0.3 | 0.4 | 0.8 | 2.4 | 24 | 25 | 1.0 | 4.5 | 45.5 | 0 | 66.7 | 0.25 | 87.3 | 45.5 |
S. Cassell Jr.
|
G | 15 | 4.7 | 1.5 | 0.2 | 0.1 | 0.0 | 0.1 | 0.2 | 0.6 | 1.1 | 20 | 16 | 1.2 | 9.4 | 33.3 | 25.0 | 100.0 | -1.62 | 121.8 | 44.4 |
Steven Enoch
|
C | 21 | 7.1 | 1.5 | 1.4 | 0.0 | 0.0 | 0.1 | 0.3 | 0.4 | 2.4 | 11 | 22 | 0.5 | 2.9 | 33.3 | 0 | 33.3 | -2.61 | 155.0 | 33.3 |
Nnamdi Amilo
|
F | 6 | 1.0 | 0.3 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8 | -8 | 8 | -1.0 | -29.4 | 0 | 0 | 0 | -2.71 | 0 | 0 |
Christian Foxen
|
F | 6 | 0.8 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -13 | 8 | -1.6 | -51.6 | 0 | 0 | 0 | -3.58 | 0 | 0 |
Mike Noyes
|
G | 6 | 0.8 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -11 | 8 | -1.4 | -46.7 | 0 | 0 | 0 | -2.98 | 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