Albertus Magnus
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 → | 876 (#431) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 762 (#551) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 925 (#589) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -20.0 (#354) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -16.7 (#576) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.567 (#425) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.030 (#536) | NetEff -23.4 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.285 (#455) | AdjNet -8.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.264 (#459) | AdjNet -8.7 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.390 (#449) | AdjO 67.5 | AdjD 72.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.301 (#603) | AdjO 54.0 | AdjD 63.2 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.179 (#611) | 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 → | 0.197 (#605) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 835 (#467) | RD 111 | GP 21 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-08 | @ | Smith | L | 44 - 78 |
| 2025-11-09 | vs | Cal Lutheran | L | 57 - 98 |
| 2025-11-11 | vs | UMSV | L | 60 - 65 |
| 2025-11-13 | vs | Farmingdale St. | W | 65 - 58 |
| 2025-11-15 | vs | Emerson | L | 51 - 60 |
| 2025-11-16 | @ | Hunter | L | 52 - 79 |
| 2025-11-19 | vs | Springfield | L | 48 - 71 |
| 2025-11-22 | @ | Babson | L | 50 - 74 |
| 2025-12-03 | @ | Amherst | L | 31 - 72 |
| 2025-12-13 | vs | Southern Me. | L | 44 - 71 |
| 2025-12-30 | vs | Colby | L | 48 - 56 |
| 2026-01-10 | @ | Regis (MA) | L | 55 - 63 |
| 2026-01-14 | @ | Emmanuel (MA) | L | 50 - 81 |
| 2026-01-17 | vs | New England Col. | L | 56 - 61 |
| 2026-01-20 | vs | Elms | W | 65 - 52 |
| 2026-01-24 | vs | Norwich | W | 69 - 65 |
| 2026-01-31 | @ | St. Joseph's (ME) | L | 48 - 69 |
| 2026-02-03 | @ | Saint Joseph (CT) | W | 70 - 56 |
| 2026-02-07 | vs | Rivier | W | 66 - 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Ariellys Velez | - | 17 | 34.3 | 16.8 | 4.7 | 2.1 | 2.8 | 0.1 | 2.9 | 16.5 | 7.2 | -39 | -3.0 | -9.3 | 38.6 | 26.6 | 63.9 | 0.22 | 45.2 | 41.6 |
| Adriana DeBernardo | - | 18 | 32.4 | 11.7 | 8.4 | 1.3 | 1.7 | 1.2 | 3.2 | 14.0 | 7.2 | -96 | -6.0 | -25.6 | 31.3 | 23.8 | 55.7 | -0.53 | 37.8 | 35.1 |
| Isabella Fiorillo | - | 12 | 37.6 | 10.9 | 3.8 | 2.0 | 1.3 | 0.1 | 2.5 | 12.2 | 3.5 | -53 | -4.4 | -19.5 | 25.3 | 22.5 | 78.0 | 1.36 | 39.0 | 31.5 |
| Fiorillo Isabella | - | 7 | 33.3 | 9.3 | 3.9 | 2.9 | 1.0 | 0.3 | 2.1 | 10.1 | 5.0 | -68 | -13.6 | -51.0 | 23.9 | 26.3 | 68.4 | -1.36 | 37.0 | 27.5 |
| Ava Johnson | - | 18 | 31.5 | 8.9 | 6.8 | 1.4 | 1.2 | 0.8 | 2.2 | 9.6 | 7.2 | -68 | -4.5 | -16.6 | 31.8 | 0.0 | 54.9 | 1.28 | 37.6 | 31.8 |
| Dejahlee Dogans | - | 19 | 29.9 | 4.5 | 3.3 | 1.1 | 1.0 | 0.2 | 1.8 | 6.2 | 2.0 | -112 | -6.6 | -29.3 | 22.9 | 23.4 | 59.3 | -0.39 | 32.7 | 29.2 |
| Keira Reynolds | - | 10 | 24.4 | 4.5 | 2.8 | 0.8 | 0.8 | 0.0 | 2.1 | 6.1 | 0.7 | -94 | -13.4 | -127.5 | 31.1 | 12.5 | 50.0 | -0.39 | 34.9 | 33.6 |
| Natalia Washington | - | 1 | 1.6 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | -2 | -0.1 | -3.2 | 50.0 | 0 | 0 | -1.04 | 50.0 | 50.0 |
| Shelby Burnham | - | 9 | 9.2 | 1.0 | 2.2 | 0.0 | 0.1 | 0.0 | 0.8 | 2.8 | -0.2 | -33 | -6.6 | -104.1 | 12.0 | 0.0 | 37.5 | -0.5 | 15.8 | 12.0 |
| Brooklyn Gonzalez | - | 15 | 7.2 | 0.9 | 0.6 | 0.1 | 0.4 | 0.0 | 0.3 | 1.6 | 0.1 | -38 | -2.9 | -106.8 | 16.7 | 16.7 | 100.0 | -0.86 | 26.1 | 22.9 |
| Ava Murphy | - | 19 | 13.7 | 0.7 | 4.4 | 0.2 | 0.1 | 0.0 | 0.7 | 0.7 | 4.1 | -55 | -3.4 | -40.3 | 38.5 | 0 | 40.0 | -1.19 | 40.2 | 38.5 |
| Gabriella Gaetano | - | 8 | 4.6 | 0.6 | 1.0 | 0.0 | 0.1 | 0.0 | 0.1 | 1.0 | 0.6 | - | - | - | 25.0 | 25.0 | 0 | - | 31.2 | 31.2 |
| Kaniyah Brown | - | 13 | 4.1 | 0.2 | 0.8 | 0.1 | 0.1 | 0.2 | 0.5 | 0.4 | 0.5 | -16 | -1.5 | -77.6 | 20.0 | 0 | 25.0 | -0.08 | 22.2 | 20.0 |
| Jennae Williams | - | 4 | 4.8 | 0.0 | 0.2 | 0.0 | 0.2 | 0.0 | 0.0 | 0.2 | 0.2 | 4 | 2.0 | 480.0 | 0.0 | 0 | 0 | 0.08 | 0.0 | 0.0 |
| Jaylah Cruz | - | 1 | 10.1 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 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