Emerson
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 → | 1018 (#205) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1110 (#123) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 979 (#515) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +0.1 (#189) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -3.1 (#410) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.646 (#381) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.661 (#296) | NetEff +5.0 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.529 (#375) | AdjNet +1.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.513 (#375) | AdjNet +0.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.508 (#367) | AdjO 66.2 | AdjD 65.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.504 (#383) | AdjO 63.5 | AdjD 63.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.496 (#387) | 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 → | 0.493 (#394) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1021 (#285) | RD 102 | GP 21 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-08 | vs | Baruch | W | 73 - 36 |
| 2025-11-10 | vs | Endicott | W | 78 - 71 |
| 2025-11-15 | @ | Albertus Magnus | W | 60 - 51 |
| 2025-11-16 | @ | Wesleyan (CT) | L | 54 - 63 |
| 2025-11-22 | @ | UMass Dartmouth | L | 69 - 77 |
| 2025-11-23 | @ | U New England | W | 72 - 61 |
| 2025-11-25 | vs | Western New Eng. | W | 67 - 58 |
| 2025-12-09 | @ | Suffolk | W | 66 - 48 |
| 2026-01-12 | @ | Worcester St. | W | 58 - 56 |
| 2026-01-17 | vs | Salve Regina | W | 73 - 62 |
| 2026-01-21 | @ | Wellesley | W | 54 - 42 |
| 2026-01-24 | @ | Wheaton (MA) | W | 76 - 67 |
| 2026-01-28 | vs | MIT | L | 58 - 69 |
| 2026-01-31 | @ | WPI | L | 41 - 55 |
| 2026-02-04 | vs | Babson | L | 60 - 72 |
| 2026-02-07 | @ | Coast Guard | L | 74 - 83 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Bri Frongillo | - | 9 | 38.7 | 19.2 | 4.1 | 5.0 | 1.3 | 0.2 | 4.0 | 16.8 | 9.1 | -11 | -0.8 | -2.9 | 41.7 | 37.5 | 85.3 | -1.89 | 52.1 | 47.7 |
| Jessie Silk | - | 12 | 33.5 | 17.2 | 10.8 | 2.7 | 1.3 | 0.0 | 2.8 | 13.4 | 15.8 | 28 | 1.8 | 8.0 | 38.5 | 38.7 | 73.8 | 0.05 | 52.8 | 46.0 |
| Tune, Tatiana | - | 1 | 29.0 | 14.0 | 6.0 | 0.0 | 0.0 | 1.0 | 2.0 | 10.0 | 9.0 | - | - | - | 40.0 | 0 | 100.0 | - | 55.4 | 40.0 |
| Claire English | - | 15 | 24.8 | 9.1 | 8.0 | 1.7 | 1.5 | 1.1 | 2.7 | 6.7 | 12.1 | 44 | 2.3 | 11.5 | 61.0 | 0.0 | 65.2 | 2.49 | 62.2 | 61.0 |
| Moreau, Jordan | - | 1 | 32.0 | 9.0 | 3.0 | 3.0 | 1.0 | 1.0 | 2.0 | 13.0 | 2.0 | - | - | - | 7.7 | 16.7 | 100.0 | - | 28.8 | 11.5 |
| Lindsay Gould | - | 15 | 26.1 | 8.5 | 2.9 | 0.5 | 0.5 | 0.1 | 1.5 | 8.1 | 2.9 | 0 | 0.0 | 0.0 | 36.1 | 30.5 | 68.8 | -3.34 | 49.6 | 48.0 |
| Ingram, Ariana | - | 1 | 27.0 | 8.0 | 3.0 | 1.0 | 2.0 | 0.0 | 3.0 | 6.0 | 5.0 | - | - | - | 50.0 | 66.7 | 0 | - | 66.7 | 66.7 |
| Kaylin O'Meara | - | 12 | 27.1 | 6.8 | 5.3 | 2.6 | 1.2 | 1.0 | 3.3 | 6.2 | 7.3 | 39 | 2.4 | 17.9 | 37.3 | 13.3 | 59.0 | 3.02 | 43.9 | 38.7 |
| Kendra Dodd | - | 15 | 28.1 | 6.5 | 2.1 | 1.1 | 0.5 | 0.1 | 1.1 | 6.3 | 2.9 | 45 | 2.4 | 10.1 | 34.0 | 35.8 | 100.0 | 0.13 | 50.6 | 49.5 |
| Bono, Allison | - | 1 | 31.0 | 6.0 | 4.0 | 2.0 | 4.0 | 0.0 | 3.0 | 7.0 | 6.0 | - | - | - | 42.9 | 0 | 0 | - | 42.9 | 42.9 |
| Brown, Akiyah | - | 1 | 6.0 | 4.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 5.0 | -1.0 | - | - | - | 40.0 | 0 | 0 | - | 40.0 | 40.0 |
| Sofia Canter | - | 14 | 18.9 | 3.9 | 2.2 | 1.3 | 0.4 | 0.1 | 1.6 | 3.4 | 2.8 | 5 | 0.3 | 1.7 | 37.5 | 39.3 | 87.5 | 1.78 | 52.4 | 49.0 |
| Annie Ferguson | - | 9 | 12.2 | 3.7 | 3.4 | 0.2 | 0.4 | 0.1 | 1.2 | 5.0 | 1.7 | -2 | -0.2 | -1.1 | 31.1 | 33.3 | 75.0 | 1.49 | 35.3 | 33.3 |
| Elise Arnold | - | 14 | 16.7 | 3.5 | 3.1 | 0.6 | 0.1 | 0.4 | 1.8 | 4.6 | 1.2 | -7 | -0.4 | -2.5 | 32.8 | 19.0 | 50.0 | 0.66 | 36.8 | 35.9 |
| Skene, Khaya | - | 1 | 6.0 | 3.0 | 2.0 | 1.0 | 0.0 | 0.0 | 1.0 | 2.0 | 3.0 | - | - | - | 50.0 | 50.0 | 0 | - | 75.0 | 75.0 |
| Verdile, Olivia | - | 1 | 21.0 | 2.0 | 8.0 | 1.0 | 1.0 | 0.0 | 1.0 | 7.0 | 4.0 | - | - | - | 14.3 | 0.0 | 0.0 | - | 12.7 | 14.3 |
| Thurman, Ava | - | 1 | 25.0 | 2.0 | 4.0 | 0.0 | 0.0 | 0.0 | 1.0 | 7.0 | -2.0 | - | - | - | 14.3 | 0.0 | 0 | - | 14.3 | 14.3 |
| Lisee McGovern | - | 6 | 5.6 | 0.5 | 0.8 | 0.0 | 0.0 | 0.5 | 0.3 | 0.3 | 1.2 | -10 | -1.4 | -14.0 | 50.0 | 0 | 50.0 | 0.11 | 52.1 | 50.0 |
| Sydney Lyons | - | 11 | 7.4 | 0.4 | 1.4 | 0.1 | 0.1 | 0.1 | 0.4 | 0.6 | 1.0 | -9 | -0.7 | -8.1 | 14.3 | 0 | 100.0 | -1.7 | 25.4 | 14.3 |
| Lena Hicks | - | 4 | 2.1 | 0.2 | 0.0 | 0.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.5 | 8 | 1.6 | 136.2 | 0 | 0 | 50.0 | 0.68 | 56.8 | 0 |
| More, Delaney | - | 1 | 9.0 | 0.0 | 3.0 | 0.0 | 1.0 | 1.0 | 1.0 | 3.0 | 1.0 | -2 | -0.7 | -77.4 | 0.0 | 0 | 0 | -0.35 | 0.0 | 0.0 |
| Corazzini, Mia | - | 1 | 4.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | - | - | - | 0.0 | 0 | 0 | - | 0.0 | 0.0 |
| Berkowitz, Claire | - | 1 | 5.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | -2.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
| Nixon, Ella | - | 1 | 5.0 | 0.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 3.0 | -1.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
| Catherine McDonough | - | 3 | 0.8 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3 | 1.0 | 51.1 | 0 | 0 | 0 | 0.68 | 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