UConn
2018 Team Stats (9 games)
64.3
PPG
76.3
Opp
-12.0
Margin
39.9%
FG%
28.5%
3P%
75.4%
FT%
32.9
RPG
8.1
APG
12.1
TO
-
Est. poss./game
70.2
Adj PPG
70.4
Adj Opp PPG
#173
Scoring Rank
Model Outputs
2017-2018
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 | 1024 (#157) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1022 (#160) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 933 (#270) | HCA +95 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +0.2 (#165) | HCA +2.9 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | -1.2 (#182) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.308 (#269) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.547 (#150) | AdjNet +1.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.548 (#150) | AdjNet +1.7 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.494 (#173) | AdjO 70.2 | AdjD 70.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.429 (#241) | AdjO 69.9 | AdjD 73.1 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.467 (#184) | 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 | 0.454 (#193) | 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 | 1022 (#153) | RD 131 | GP 32 |
2018 Schedule & Results
2018 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jalen Adams
|
G | 27 | 37.8 | 17.5 | 3.9 | 4.5 | 1.4 | 0.3 | 2.9 | 7.1 | 17.7 | -70 | 26 | -2.7 | -3.1 | 38.7 | 28.1 | 80.0 | 0.85 | 112.2 | 42.9 |
Christian Vital
|
G | 29 | 31.6 | 15.0 | 5.3 | 1.7 | 1.7 | 0.0 | 1.8 | 5.3 | 16.6 | -40 | 28 | -1.4 | -2.0 | 35.7 | 35.5 | 83.3 | 1.42 | 120.6 | 44.5 |
Terry Larrier
|
G | 26 | 33.7 | 13.5 | 4.9 | 0.8 | 0.7 | 0.3 | 2.4 | 6.6 | 11.1 | -38 | 26 | -1.5 | -2.0 | 34.9 | 20.4 | 77.8 | 2.15 | 93.7 | 38.1 |
Alterique Gilbert
|
G | 5 | 30.0 | 10.6 | 4.6 | 3.4 | 1.4 | 0.4 | 1.6 | 2.4 | 16.4 | 19 | 5 | 3.8 | 5.7 | 50.0 | 66.7 | 40.0 | 3.83 | 186.6 | 58.3 |
Antwoine Anderson
|
G | 29 | 31.4 | 7.5 | 2.9 | 2.1 | 1.0 | 0.2 | 1.7 | 2.9 | 9.1 | -122 | 28 | -4.4 | -6.2 | 36.1 | 21.1 | 78.1 | -2.67 | 111.8 | 41.0 |
Josh Carlton
|
C | 29 | 15.5 | 4.6 | 3.7 | 0.3 | 0.3 | 0.8 | 0.9 | 1.6 | 7.2 | -31 | 27 | -1.1 | -3.2 | 52.2 | 0 | 83.3 | -0.21 | 128.7 | 52.2 |
Tyler Polley
|
- | 29 | 13.8 | 2.8 | 1.2 | 0.2 | 0.1 | 0.2 | 0.6 | 0.8 | 3.0 | -68 | 27 | -2.5 | -7.6 | 16.7 | 27.3 | 66.7 | -2.79 | 136.6 | 22.9 |
Mamadou Diarra
|
F | 28 | 9.8 | 2.7 | 2.4 | 0.0 | 0.1 | 0.7 | 0.4 | 0.9 | 4.6 | -16 | 27 | -0.6 | -2.6 | 75.0 | 0 | 54.5 | -0.01 | 130.0 | 75.0 |
Isaiah Whaley
|
F | 27 | 12.7 | 2.3 | 1.9 | 0.2 | 0.3 | 1.0 | 0.4 | 0.7 | 4.6 | -53 | 26 | -2.0 | -6.5 | 60.0 | 0 | 33.3 | -1.85 | 143.1 | 60.0 |
Eric Cobb
|
F | 13 | 8.2 | 2.0 | 2.8 | 0.2 | 0.2 | 0.1 | 1.2 | 0.6 | 3.6 | -23 | 13 | -1.8 | -10.1 | 50.0 | 50.0 | 62.5 | -3.22 | 112.8 | 62.5 |
Kwintin Williams
|
F | 16 | 6.3 | 1.4 | 1.9 | 0.1 | 0.1 | 0.0 | 0.2 | 0.4 | 2.9 | 21 | 14 | 1.5 | 9.0 | 57.1 | 0.0 | 60.0 | 2.25 | 100.9 | 57.1 |
David Onuorah
|
F | 28 | 10.6 | 1.0 | 1.9 | 0.1 | 0.0 | 0.4 | 0.9 | 0.5 | 2.1 | -77 | 26 | -3.0 | -12.9 | 38.5 | 0 | 100.0 | -4.36 | 91.5 | 38.5 |
Christian Foxen
|
F | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Mike Noyes
|
G | 4 | 1.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | -0.2 | - | - | - | - | 0.0 | 0.0 | 0 | -0.63 | 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