Monmouth
Also known as: Monmouth
Program History
Model Outputs
2025-2026 latest available
No materialized model snapshot for 2024 yet, so this section is showing the latest available team-model rows.
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 → | 1033 (#160) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1076 (#126) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1016 (#268) | HCA +75 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +16.4 (#130) | HCA +3.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.999 (#50) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.999 (#46) | NetEff +47.9 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.977 (#108) | AdjNet +32.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.979 (#108) | AdjNet +31.7 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.871 (#108) | AdjO 74.2 | AdjD 53.1 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.721 (#73) | AdjO 68.5 | AdjD 58.1 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.852 (#58) | 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 → | 0.826 (#66) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1088 (#139) | RD 350 | GP 1 |
2024 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2024-01-01 | vs | Georgian Court | W | 91 - 51 |
2024 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Kaci Donovan | - | 1 | 20.0 | 20.0 | 8.0 | 1.0 | 1.0 | 0.0 | 0.0 | 13.0 | 17.0 | - | - | - | 30.8 | 33.3 | 83.3 | - | 54.7 | 38.5 |
| Rosalie Mercille | - | 1 | 21.0 | 20.0 | 2.0 | 2.0 | 1.0 | 0.0 | 1.0 | 15.0 | 9.0 | - | - | - | 46.7 | 37.5 | 75.0 | - | 59.7 | 56.7 |
| Jania Hall | - | 1 | 21.0 | 11.0 | 4.0 | 5.0 | 1.0 | 0.0 | 3.0 | 9.0 | 9.0 | -18 | -2.6 | -12.8 | 44.4 | 33.3 | 66.7 | -0.06 | 53.3 | 50.0 |
| Ella Farrelly | - | 1 | 12.0 | 9.0 | 4.0 | 0.0 | 0.0 | 0.0 | 1.0 | 6.0 | 6.0 | - | - | - | 50.0 | 100.0 | 100.0 | - | 65.4 | 58.3 |
| Jaye Haynes | - | 1 | 23.0 | 8.0 | 3.0 | 2.0 | 4.0 | 0.0 | 2.0 | 7.0 | 8.0 | -70 | -8.8 | -13.6 | 42.9 | 25.0 | 50.0 | -0.64 | 50.8 | 50.0 |
| Taisha Exanor | - | 1 | 16.0 | 7.0 | 3.0 | 1.0 | 2.0 | 0.0 | 2.0 | 4.0 | 7.0 | - | - | - | 75.0 | 0.0 | 50.0 | - | 71.7 | 75.0 |
| Belle Kranbuhl | - | 1 | 17.0 | 6.0 | 12.0 | 1.0 | 7.0 | 4.0 | 1.0 | 5.0 | 24.0 | - | - | - | 60.0 | 0 | 0.0 | - | 51.0 | 60.0 |
| Sandrine Clesca | - | 1 | 15.0 | 5.0 | 1.0 | 5.0 | 0.0 | 0.0 | 2.0 | 8.0 | 1.0 | - | - | - | 25.0 | 0.0 | 100.0 | - | 29.6 | 25.0 |
| Divine Dibula | - | 1 | 20.0 | 3.0 | 10.0 | 2.0 | 1.0 | 0.0 | 5.0 | 3.0 | 8.0 | - | - | - | 33.3 | 0 | 50.0 | 0.26 | 38.7 | 33.3 |
| Diamond Wiggins | - | 1 | 11.0 | 2.0 | 4.0 | 1.0 | 1.0 | 0.0 | 3.0 | 5.0 | 0.0 | - | - | - | 20.0 | 0.0 | 0 | - | 20.0 | 20.0 |
| Amiya Carroll | - | 1 | 11.0 | 0.0 | 5.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 2.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
| Antonia Panayides | - | 1 | 7.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | -2.0 | - | - | - | 0.0 | 0.0 | 0 | -0.07 | 0.0 | 0.0 |
| Isabella Murray | - | 1 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 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