UMass Lowell
Model Outputs
2025-2026
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1053 (#238) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1020 (#288) | HCA +62 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +52.2 (#21) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 1.000 (#54) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.990 (#112) | AdjNet +39.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.992 (#112) | AdjNet +38.7 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.953 (#77) | AdjO 87.3 | AdjD 54.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.919 (#12) | AdjO 84.4 | AdjD 57.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.957 (#23) | 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 → | 0.948 (#23) | Blend of Elo, BT, Margin, PythLog, PtsOD |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-12-29 | vs | St. Joseph's (Brkln) | W | 109 - 45 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Maddie Rice | - | 1 | 20.1 | 22.0 | 12.0 | 2.0 | 0.0 | 1.0 | 0.0 | 14.0 | 23.0 | 84 | 4.0 | 18.8 | 64.3 | 42.9 | 100.0 | 2.69 | 76.2 | 75.0 |
| Adna Halilbasic | - | 1 | 21.4 | 20.0 | 6.0 | 2.0 | 2.0 | 0.0 | 1.0 | 14.0 | 15.0 | - | - | - | 42.9 | 40.0 | 100.0 | - | 63.5 | 57.1 |
| Anabel Latorre Ciria | - | 1 | 25.8 | 17.0 | 19.0 | 0.0 | 3.0 | 1.0 | 0.0 | 14.0 | 26.0 | - | - | - | 57.1 | 0 | 100.0 | - | 58.9 | 57.1 |
| Tyanna Medina | - | 1 | 25.9 | 17.0 | 1.0 | 6.0 | 3.0 | 0.0 | 2.0 | 13.0 | 12.0 | - | - | - | 53.8 | 37.5 | 0 | - | 65.4 | 65.4 |
| Jaini Edmonds | - | 1 | 20.2 | 11.0 | 4.0 | 3.0 | 1.0 | 0.0 | 1.0 | 13.0 | 5.0 | - | - | - | 30.8 | 27.3 | 0 | - | 42.3 | 42.3 |
| Sabrina Larsson | - | 1 | 18.1 | 9.0 | 1.0 | 2.0 | 3.0 | 0.0 | 0.0 | 11.0 | 4.0 | - | - | - | 36.4 | 20.0 | 0 | - | 40.9 | 40.9 |
| Nia Chima | - | 1 | 25.4 | 6.0 | 13.0 | 2.0 | 0.0 | 0.0 | 2.0 | 4.0 | 15.0 | - | - | - | 75.0 | 0 | 0.0 | - | 61.5 | 75.0 |
| Paris Gilmore | - | 1 | 23.1 | 5.0 | 2.0 | 6.0 | 2.0 | 0.0 | 0.0 | 7.0 | 8.0 | - | - | - | 28.6 | 33.3 | 0 | - | 35.7 | 35.7 |
| Ella Ner | - | 1 | 19.9 | 2.0 | 1.0 | 1.0 | 3.0 | 0.0 | 2.0 | 4.0 | 1.0 | - | - | - | 25.0 | 0.0 | 0 | - | 25.0 | 25.0 |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
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