Rhode Island Rams
2026 Team Stats (29 games)
66.8
PPG
55.1
Opp
+11.7
Margin
42.5%
FG%
29.0%
3P%
78.6%
FT%
37.5
RPG
12.5
APG
11.5
TO
76.2
Pace
67.2
AdjO
54.1
AdjD
#60
Rank
Model Outputs
2025-2026
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 → | 1334 (#16) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1323 (#21) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1114 (#50) | HCA +113 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +13.3 (#61) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +24.9 (#62) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.893 (#32) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.925 (#29) | NetEff +19.5 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.928 (#56) | AdjNet +22.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.930 (#56) | AdjNet +22.2 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.767 (#60) | AdjO 67.2 | AdjD 54.1 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.726 (#51) | AdjO 65.6 | AdjD 54.8 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.931 (#50) | 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 → | 0.913 (#48) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1281 (#27) | RD 120 | GP 29 |
2026 Schedule & Results
2026 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
B. Gray
|
G | 29 | 31.1 | 12.4 | 4.9 | 2.2 | 1.1 | 0.2 | 1.4 | 10.4 | 9.0 | 111 | 4.8 | 6.3 | 41.2 | 31.6 | 89.2 | 0.96 | 52.8 | 46.2 |
P. Mbu
|
F | 29 | 32.7 | 10.4 | 5.5 | 1.7 | 0.7 | 1.5 | 1.7 | 9.0 | 9.2 | 170 | 7.4 | 9.4 | 44.6 | 30.3 | 74.6 | 3.73 | 52.5 | 49.0 |
V. Harris
|
G | 29 | 21.8 | 10.3 | 4.0 | 1.0 | 0.8 | 0.1 | 1.8 | 10.2 | 4.2 | 118 | 5.1 | 11.2 | 37.6 | 27.4 | 69.4 | 2.71 | 45.6 | 42.0 |
I. Debroise
|
G | 29 | 30.0 | 9.4 | 3.0 | 2.8 | 1.1 | 0.0 | 1.9 | 7.2 | 7.3 | 95 | 4.1 | 6.3 | 38.9 | 28.4 | 86.7 | -1.72 | 53.5 | 43.5 |
A. Syla
|
C | 29 | 25.1 | 9.4 | 7.2 | 0.8 | 0.5 | 0.8 | 1.6 | 7.8 | 9.2 | 94 | 4.1 | 6.2 | 53.5 | 0 | 71.4 | -0.65 | 55.6 | 53.5 |
S. Vital
|
G | 29 | 31.8 | 8.0 | 5.6 | 3.7 | 2.0 | 0.1 | 1.6 | 6.6 | 11.1 | 141 | 6.1 | 8.0 | 44.7 | 29.1 | 71.4 | 1.89 | 53.0 | 48.9 |
Mary-Kate Tshibuabua
|
F | 6 | 5.5 | 3.2 | 1.7 | 0.2 | 0.0 | 0.2 | 0.3 | 2.0 | 2.8 | 19 | 19.0 | 60.9 | 66.7 | 0 | 100.0 | 2.75 | 71.3 | 66.7 |
V. Ojeda
|
G | 27 | 10.3 | 2.6 | 0.7 | 0.3 | 0.2 | 0.2 | 0.3 | 2.4 | 1.3 | 43 | 2.0 | 6.3 | 34.8 | 29.1 | 61.5 | -0.5 | 48.8 | 47.0 |
T. Habib
|
G | 26 | 9.5 | 2.0 | 1.3 | 0.0 | 0.2 | 0.0 | 0.2 | 2.0 | 1.3 | 82 | 3.7 | 13.5 | 35.3 | 24.2 | 77.8 | 2.13 | 46.4 | 43.1 |
A. Michel
|
C | 25 | 6.6 | 1.9 | 1.4 | 0.1 | 0.0 | 0.1 | 0.4 | 1.5 | 1.7 | 38 | 2.1 | 14.1 | 44.7 | 34.8 | 85.7 | -0.41 | 58.4 | 55.3 |
E. Agba
|
G | 9 | 3.9 | 0.9 | 0.7 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.6 | 29 | 4.8 | 48.5 | 22.2 | 0.0 | 66.7 | 0.8 | 34.4 | 22.2 |
L. Fontcha
|
C | 7 | 4.9 | 0.9 | 1.4 | 0.0 | 0.0 | 0.3 | 0.0 | 1.6 | 1.0 | 1 | 0.1 | 0.8 | 27.3 | 0 | 0 | -2.31 | 27.3 | 27.3 |
Amori Jarrett
|
G | 0 | - | 0.0 | 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