Rhode Island
2014 Team Stats (2 games)
57.5
PPG
63.0
Opp
-5.5
Margin
43.0%
FG%
27.3%
3P%
57.5%
FT%
32.5
RPG
7.0
APG
16.0
TO
-
Est. poss./game
67.5
Adj PPG
64.8
Adj Opp PPG
#126
Scoring Rank
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 โ | 1014 (#164) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1009 (#162) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 961 (#230) | HCA +92 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +3.1 (#123) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +6.3 (#85) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.484 (#182) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.636 (#122) | AdjNet +4.8 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.637 (#123) | AdjNet +4.9 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.562 (#126) | AdjO 67.5 | AdjD 64.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.560 (#107) | AdjO 66.8 | AdjD 64.2 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.559 (#137) | 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 | 0.559 (#133) | 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 | 1005 (#163) | RD 137 | GP 31 |
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 GP | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Xavier Munford
|
G | 22 | 35.0 | 16.5 | 4.0 | 2.3 | 1.1 | 0.4 | 3.1 | 3.5 | 17.7 | -8 | 28 | -0.3 | -0.3 | 43.4 | 48.1 | 80.8 | -0.44 | 207.6 | 52.0 |
E.C. Matthews
|
G | 22 | 32.2 | 13.5 | 4.6 | 2.3 | 0.9 | 0.5 | 2.2 | 2.8 | 16.9 | 28 | 28 | 1.0 | 1.3 | 46.8 | 38.9 | 67.7 | 0.78 | 197.0 | 52.4 |
Gilvydas Biruta
|
F | 22 | 25.2 | 9.9 | 6.5 | 1.1 | 0.3 | 0.7 | 1.7 | 1.5 | 15.3 | 4 | 28 | 0.1 | 0.2 | 54.5 | 0.0 | 66.7 | 0.79 | 265.2 | 54.5 |
Hassan Martin
|
F | 22 | 25.5 | 6.7 | 6.0 | 0.4 | 0.3 | 2.5 | 1.0 | 1.1 | 13.8 | 20 | 28 | 0.7 | 1.2 | 64.0 | 0.0 | 62.5 | 2.31 | 257.7 | 64.0 |
T.J. Buchanan
|
G | 22 | 25.4 | 6.6 | 3.4 | 2.4 | 0.6 | 0.3 | 1.5 | 1.0 | 10.9 | 56 | 28 | 2.0 | 3.4 | 33.3 | 0.0 | 75.0 | 2.0 | 295.7 | 33.3 |
Jarelle Reischel
|
G | 22 | 20.2 | 6.6 | 2.2 | 1.0 | 0.7 | 0.1 | 1.4 | 0.7 | 8.5 | -32 | 28 | -1.1 | -2.6 | 33.3 | 0.0 | 57.1 | -2.01 | 345.0 | 33.3 |
Biggie Minnis
|
G | 13 | 22.1 | 4.5 | 2.8 | 2.8 | 0.8 | 0.1 | 1.8 | 0.6 | 8.5 | -11 | 18 | -0.6 | -1.3 | 25.0 | 0.0 | 100.0 | -2.82 | 332.2 | 25.0 |
Ifeanyi Onyekaba
|
G | 22 | 12.9 | 3.2 | 3.5 | 0.1 | 0.2 | 0.5 | 1.0 | 0.6 | 5.8 | 24 | 27 | 0.9 | 3.1 | 57.1 | 0 | 66.7 | 1.9 | 181.5 | 57.1 |
Mike Aaman
|
F | 4 | 8.8 | 2.8 | 2.2 | 0.2 | 0.0 | 0.2 | 0.8 | 0.0 | 4.8 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Mike Powell
|
G | 7 | 13.1 | 2.7 | 1.7 | 0.4 | 0.3 | 0.0 | 1.4 | 0.1 | 3.6 | -14 | 8 | -1.8 | -4.4 | 0.0 | 0 | 0 | -3.1 | 950.0 | 0.0 |
Matthew Butler
|
G | 15 | 5.8 | 0.9 | 0.3 | 0.4 | 0.1 | 0.0 | 0.3 | 0.1 | 1.3 | -28 | 21 | -1.3 | -10.1 | 0.0 | 0.0 | 0 | -4.08 | 350.0 | 0.0 |
Eric Youncofski
|
- | 4 | 1.2 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
A.J. Kemp
|
- | 4 | 1.5 | 0.2 | 0.5 | 0.0 | 0.0 | 0.0 | 0.2 | 0.0 | 0.5 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Jonathan Nazarko
|
G | 4 | 1.5 | 0.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Shane Plunkett
|
G | 4 | 1.0 | 0.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.2 | 0.0 | 0.2 | - | - | - | - | 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