Rhode Island
2017 Team Stats (12 games)
73.3
PPG
66.3
Opp
+7.0
Margin
46.4%
FG%
35.8%
3P%
68.5%
FT%
34.7
RPG
12.5
APG
10.6
TO
-
Est. poss./game
74.7
Adj PPG
62.7
Adj Opp PPG
#38
Scoring Rank
Model Outputs
2016-2017
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 | 1361 (#25) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1232 (#38) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1159 (#18) | HCA +89 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +12.7 (#42) | HCA +2.6 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +13.8 (#30) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.797 (#30) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.888 (#44) | AdjNet +17.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.889 (#44) | AdjNet +18.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.748 (#38) | AdjO 74.7 | AdjD 62.7 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.719 (#22) | AdjO 73.2 | AdjD 62.8 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.823 (#28) | 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 | 0.818 (#27) | 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 | 1267 (#29) | RD 100 | GP 35 |
2017 Schedule & Results
2017 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
E.C. Matthews
|
G | 25 | 29.8 | 15.3 | 4.4 | 1.3 | 0.6 | 0.4 | 1.8 | 6.3 | 14.0 | 150 | 28 | 5.4 | 7.9 | 42.0 | 36.6 | 73.4 | 4.65 | 103.4 | 50.3 |
Hassan Martin
|
F | 23 | 27.0 | 13.2 | 6.2 | 0.9 | 0.8 | 2.2 | 1.3 | 5.7 | 16.1 | 21 | 24 | 0.9 | 1.4 | 56.8 | 0.0 | 62.5 | -1.03 | 98.9 | 56.8 |
Jared Terrell
|
G | 25 | 30.4 | 11.9 | 2.7 | 1.8 | 1.2 | 0.2 | 1.6 | 5.9 | 10.3 | 97 | 28 | 3.5 | 4.8 | 43.5 | 34.6 | 68.5 | 0.27 | 87.3 | 49.7 |
Kuran Iverson
|
F | 25 | 26.2 | 9.3 | 7.3 | 1.8 | 0.6 | 1.2 | 2.0 | 4.4 | 13.8 | 91 | 28 | 3.2 | 5.4 | 44.5 | 34.1 | 55.3 | 3.05 | 91.5 | 50.9 |
Stanford Robinson
|
G | 25 | 17.4 | 6.1 | 2.4 | 1.5 | 1.2 | 0.2 | 0.8 | 2.6 | 7.9 | 28 | 28 | 1.0 | 2.4 | 44.6 | 34.8 | 63.2 | -2.65 | 103.6 | 50.8 |
Jeff Dowtin
|
- | 23 | 22.1 | 5.5 | 1.7 | 2.4 | 0.7 | 0.3 | 0.8 | 2.7 | 7.0 | 21 | 27 | 0.8 | 1.5 | 47.6 | 35.0 | 64.0 | -3.43 | 85.1 | 53.2 |
Jarvis Garrett
|
G | 19 | 20.8 | 5.4 | 1.6 | 2.6 | 0.7 | 0.1 | 1.5 | 2.7 | 6.1 | 83 | 21 | 4.0 | 7.5 | 39.2 | 26.1 | 75.0 | -0.03 | 87.9 | 45.1 |
Cyril Langevine
|
F | 25 | 12.0 | 3.3 | 3.7 | 0.4 | 0.4 | 0.7 | 0.6 | 1.2 | 6.6 | 93 | 28 | 3.3 | 11.3 | 58.6 | 0 | 50.0 | 2.6 | 119.6 | 58.6 |
Nicola Akele
|
F | 25 | 12.1 | 3.0 | 2.2 | 0.8 | 0.4 | 0.4 | 0.4 | 1.0 | 5.4 | 118 | 28 | 4.2 | 14.2 | 44.0 | 44.4 | 100.0 | 4.61 | 139.7 | 52.0 |
Christion Thompson
|
G | 21 | 10.0 | 2.3 | 1.7 | 0.3 | 0.7 | 0.3 | 0.3 | 1.0 | 3.9 | 53 | 20 | 2.6 | 10.8 | 18.2 | 15.4 | 55.6 | 2.98 | 92.4 | 22.7 |
Andre Berry
|
F | 8 | 5.4 | 1.4 | 0.8 | 0.0 | 0.1 | 0.0 | 0.5 | 0.5 | 1.2 | 11 | 9 | 1.2 | 9.5 | 25.0 | 0 | 100.0 | 0.56 | 123.9 | 25.0 |
Eric Dadika
|
G | 5 | 1.2 | 0.6 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | 0.2 | 0.2 | - | - | - | - | 0.0 | 0.0 | 0 | -1.85 | 150.0 | 0.0 |
Will Leviton
|
G | 5 | 1.4 | 0.4 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6 | - | - | - | - | 0 | 0 | 0 | -1.85 | 0 | 0 |
Mike Layssard
|
F | 5 | 2.6 | 0.0 | 1.6 | 0.2 | 0.0 | 0.0 | 0.2 | 0.6 | 1.0 | - | - | - | - | 0.0 | 0 | 0 | -2.15 | 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