Rhode Island
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 → | 1026 (#183) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1156 (#84) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1086 (#175) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1187 (#30) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +6.9 (#117) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +11.8 (#194) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 1.000 (#78) | - |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.959 (#188) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 1.000 (#55) | NetEff +71.5 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.999 (#52) | AdjNet +56.0 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.966 (#154) | AdjNet +28.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.999 (#60) | AdjNet +55.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.968 (#152) | AdjNet +28.6 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.981 (#28) | AdjO 96.4 | AdjD 52.8 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.818 (#160) | AdjO 68.5 | AdjD 52.0 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.792 (#66) | AdjO 67.5 | AdjD 52.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.842 (#110) | 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 → | 0.840 (#105) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1270 (#33) | RD 99 | GP 23 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-10 | vs | Emmanuel (MA) | W | 105 - 49 |
| 2025-11-10 | @ | Western New Eng. | W | 52 - 43 |
| 2025-11-13 | @ | Brandeis | L | 66 - 77 |
| 2025-11-15 | vs | TCNJ | W | 82 - 70 |
| 2025-11-16 | vs | JWU (Providence) | W | 75 - 62 |
| 2025-11-22 | vs | MIT | W | 58 - 57 |
| 2025-11-25 | vs | Bridgewater St. | W | 78 - 53 |
| 2025-11-30 | vs | Tufts | L | 50 - 62 |
| 2025-12-03 | vs | UMass Dartmouth | W | 71 - 70 |
| 2025-12-13 | vs | VTSU Castleton | W | 73 - 44 |
| 2025-12-20 | @ | Coast Guard | W | 86 - 70 |
| 2026-01-10 | vs | Keene St. | W | 63 - 62 |
| 2026-01-13 | @ | Connecticut Col. | L | 53 - 54 |
| 2026-01-17 | vs | UMass Boston | W | 74 - 63 |
| 2026-01-21 | @ | Eastern Conn. St. | W | 70 - 58 |
| 2026-01-24 | vs | Plymouth St. | W | 76 - 31 |
| 2026-01-28 | @ | UMass Dartmouth | W | 76 - 50 |
| 2026-01-31 | @ | VTSU Castleton | W | 74 - 63 |
| 2026-02-04 | vs | Southern Me. | W | 70 - 62 |
| 2026-02-07 | @ | UMass Boston | W | 64 - 52 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Palmire Mbu | - | 1 | 20.3 | 24.0 | 7.0 | 0.0 | 1.0 | 0.0 | 1.0 | 12.0 | 19.0 | - | - | - | 83.3 | 66.7 | 66.7 | - | 90.1 | 91.7 |
| Meagan Schuermann | - | 17 | 29.5 | 16.5 | 6.9 | 1.1 | 1.6 | 1.2 | 3.2 | 12.5 | 11.5 | 56 | 2.8 | 15.0 | 42.3 | 46.6 | 91.2 | -0.8 | 56.4 | 48.6 |
| Abby Wager | - | 18 | 33.7 | 15.3 | 8.3 | 3.0 | 1.9 | 2.1 | 3.2 | 12.7 | 14.8 | 97 | 4.8 | 19.9 | 42.5 | 23.5 | 74.2 | 3.03 | 51.7 | 46.1 |
| Vanessa Harris | - | 1 | 18.4 | 14.0 | 2.0 | 1.0 | 3.0 | 1.0 | 1.0 | 13.0 | 7.0 | - | - | - | 46.2 | 33.3 | 0.0 | - | 50.4 | 53.8 |
| Aimee Michel | - | 1 | 17.8 | 13.0 | 6.0 | 2.0 | 0.0 | 0.0 | 1.0 | 10.0 | 10.0 | - | - | - | 50.0 | 60.0 | 0 | - | 65.0 | 65.0 |
| Albina Syla | - | 1 | 20.5 | 12.0 | 7.0 | 0.0 | 0.0 | 1.0 | 1.0 | 12.0 | 7.0 | - | - | - | 50.0 | 0 | 0 | - | 50.0 | 50.0 |
| Shalyn Smith | - | 19 | 27.6 | 11.3 | 3.3 | 1.9 | 1.1 | 0.2 | 2.3 | 8.2 | 7.4 | 126 | 5.7 | 31.8 | 47.7 | 39.6 | 92.0 | 2.53 | 60.7 | 54.5 |
| Jaina Yekelchik | - | 18 | 34.6 | 9.5 | 3.9 | 2.1 | 0.9 | 0.2 | 2.4 | 8.3 | 5.8 | 74 | 3.5 | 16.1 | 42.3 | 37.3 | 74.1 | 2.52 | 53.1 | 50.7 |
| Eva Monahan | - | 19 | 25.7 | 9.2 | 7.7 | 0.5 | 0.4 | 0.5 | 2.5 | 7.1 | 8.7 | 55 | 2.5 | 14.8 | 55.2 | 0.0 | 68.4 | 1.46 | 57.7 | 55.2 |
| Brooklyn Gray | - | 1 | 24.8 | 9.0 | 10.0 | 7.0 | 3.0 | 0.0 | 1.0 | 10.0 | 18.0 | - | - | - | 40.0 | 0.0 | 100.0 | - | 43.1 | 40.0 |
| Sophia Vital | - | 1 | 21.4 | 9.0 | 5.0 | 5.0 | 0.0 | 0.0 | 0.0 | 7.0 | 12.0 | - | - | - | 57.1 | 50.0 | 0 | - | 64.3 | 64.3 |
| Valentina Ojeda | - | 1 | 17.3 | 8.0 | 2.0 | 2.0 | 0.0 | 2.0 | 0.0 | 6.0 | 8.0 | - | - | - | 50.0 | 50.0 | 0 | - | 66.7 | 66.7 |
| Ines Debroise | - | 1 | 16.9 | 6.0 | 7.0 | 5.0 | 2.0 | 0.0 | 1.0 | 5.0 | 14.0 | - | - | - | 40.0 | 0.0 | 100.0 | - | 51.0 | 40.0 |
| Maggie McKitchen | - | 19 | 25.5 | 5.2 | 4.6 | 1.5 | 0.5 | 0.6 | 2.5 | 5.6 | 4.2 | 106 | 4.8 | 28.6 | 35.5 | 22.9 | 57.9 | 1.97 | 42.5 | 40.7 |
| Ta'Viyanna Habib | - | 1 | 19.4 | 5.0 | 4.0 | 1.0 | 1.0 | 0.0 | 0.0 | 7.0 | 4.0 | - | - | - | 14.3 | 16.7 | 100.0 | - | 31.7 | 21.4 |
| Eva Agba | - | 1 | 11.8 | 3.0 | 1.0 | 2.0 | 0.0 | 1.0 | 0.0 | 4.0 | 3.0 | - | - | - | 25.0 | 25.0 | 0 | - | 37.5 | 37.5 |
| Nichole Ljuljic | - | 19 | 13.3 | 2.4 | 2.1 | 1.5 | 0.3 | 0.0 | 0.9 | 2.4 | 2.9 | 55 | 2.5 | 29.3 | 37.8 | 31.6 | 45.5 | 2.01 | 45.1 | 44.4 |
| Emma Tenters | - | 10 | 14.3 | 2.3 | 2.5 | 0.5 | 0.1 | 0.2 | 0.9 | 3.1 | 1.6 | 77 | 6.4 | 47.5 | 29.0 | 0.0 | 50.0 | 2.75 | 32.5 | 29.0 |
| Angela Hector | - | 3 | 4.7 | 2.0 | 1.3 | 0.0 | 0.3 | 0.3 | 0.3 | 1.7 | 2.0 | - | - | - | 60.0 | 0 | 0.0 | -0.93 | 51.0 | 60.0 |
| Lilyana Fontcha | - | 1 | 11.3 | 2.0 | 7.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 6.0 | - | - | - | 33.3 | 0 | 0 | - | 33.3 | 33.3 |
| Naima Bleou | - | 11 | 11.6 | 1.6 | 1.1 | 1.2 | 0.4 | 0.2 | 0.8 | 3.5 | 0.2 | -17 | -1.4 | -19.1 | 18.4 | 8.7 | 100.0 | -1.6 | 23.1 | 21.1 |
| Janae Gomes | - | 6 | 5.6 | 0.8 | 1.0 | 0.2 | 0.2 | 0.2 | 0.7 | 0.7 | 1.0 | 3 | 0.4 | 58.1 | 50.0 | 0.0 | 50.0 | 0.54 | 51.2 | 50.0 |
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