Jessup
Also known as: Jessup
Program History
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 → | 878 (#465) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 817 (#493) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 852 (#650) | HCA +75 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -4.1 (#215) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -13.8 (#547) | HCA +3.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.162 (#504) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.108 (#394) | NetEff -16.8 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.307 (#469) | AdjNet -7.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.310 (#469) | AdjNet -6.8 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.407 (#463) | AdjO 60.4 | AdjD 64.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.262 (#637) | AdjO 55.1 | AdjD 66.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.196 (#601) | 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 → | 0.200 (#604) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 804 (#462) | RD 95 | GP 24 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-03 | @ | UC Davis | L | 35 - 72 |
| 2025-11-14 | @ | San Fran. St. | L | 71 - 80 |
| 2025-11-15 | @ | Cal St. Monterey Bay | L | 40 - 53 |
| 2025-11-20 | vs | Bushnell | W | 65 - 63 |
| 2025-11-22 | vs | Stanislaus St. | W | 75 - 67 |
| 2025-11-26 | @ | Chico St. | L | 64 - 83 |
| 2025-11-29 | @ | Cal Poly Humboldt | L | 67 - 88 |
| 2025-12-04 | vs | Point Loma | L | 60 - 81 |
| 2025-12-06 | vs | Biola | L | 65 - 66 |
| 2025-12-16 | @ | Menlo | L | 60 - 83 |
| 2026-01-03 | vs | Hawaii Hilo | W | 60 - 52 |
| 2026-01-10 | @ | Azusa Pacific | L | 64 - 89 |
| 2026-01-17 | vs | CUI | L | 66 - 78 |
| 2026-01-20 | @ | Fresno Pacific | L | 62 - 78 |
| 2026-01-22 | vs | Menlo | W | 68 - 64 |
| 2026-01-24 | vs | Dominican (CA) | L | 50 - 69 |
| 2026-01-29 | @ | CUI | L | 45 - 73 |
| 2026-01-31 | @ | Biola | L | 38 - 49 |
| 2026-02-02 | @ | Westmont | L | 31 - 60 |
| 2026-02-05 | vs | Fresno Pacific | W | 63 - 57 |
| 2026-02-07 | vs | Azusa Pacific | L | 63 - 64 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Giselle Dogan | - | 13 | 25.2 | 12.7 | 3.6 | 1.9 | 0.9 | 0.4 | 2.4 | 12.5 | 4.7 | -61 | -3.8 | -38.0 | 35.8 | 28.6 | 74.4 | -0.62 | 46.0 | 42.0 |
| Porter Wood | - | 20 | 24.8 | 11.0 | 6.8 | 1.1 | 0.8 | 0.4 | 2.4 | 8.9 | 8.8 | -123 | -7.2 | -45.6 | 44.9 | 14.3 | 55.9 | -0.33 | 49.4 | 45.8 |
| Andheya Aurelio | - | 21 | 30.3 | 9.4 | 3.8 | 1.7 | 1.5 | 0.1 | 1.6 | 10.3 | 4.6 | -154 | -7.7 | -46.5 | 29.2 | 29.1 | 74.2 | 0.23 | 40.5 | 35.0 |
| Laia Pala | - | 10 | 25.5 | 7.4 | 2.6 | 1.6 | 1.2 | 0.2 | 2.0 | 6.7 | 4.3 | -65 | -8.1 | -22.5 | 44.8 | 20.0 | 75.0 | -0.29 | 50.0 | 46.3 |
| Amari Guiton | - | 11 | 22.3 | 6.9 | 4.6 | 0.9 | 1.2 | 0.6 | 1.1 | 5.7 | 7.5 | -12 | -0.9 | -8.7 | 44.4 | 0 | 51.3 | 1.06 | 47.4 | 44.4 |
| Hailey Hoff | - | 21 | 22.2 | 5.8 | 1.7 | 0.8 | 0.4 | 0.0 | 1.2 | 6.0 | 1.5 | -76 | -3.8 | -46.7 | 33.6 | 36.0 | 85.7 | -3.4 | 47.6 | 46.4 |
| Claudia Jimenez | - | 19 | 21.6 | 5.8 | 2.4 | 1.7 | 1.9 | 0.4 | 2.2 | 7.2 | 2.9 | -84 | -5.6 | -42.3 | 29.4 | 25.0 | 70.0 | -1.27 | 38.0 | 35.3 |
| Raylyn Fergerson | - | 20 | 22.7 | 4.2 | 4.7 | 1.0 | 0.7 | 0.0 | 1.9 | 5.2 | 3.5 | -99 | -5.2 | -29.1 | 34.0 | 0.0 | 66.7 | -2.91 | 37.4 | 34.0 |
| Aniah Cross | - | 17 | 13.2 | 3.9 | 2.0 | 0.1 | 1.1 | 0.0 | 1.2 | 4.0 | 1.8 | -51 | -3.6 | -30.0 | 32.4 | 30.8 | 72.0 | -2.55 | 41.8 | 35.3 |
| Mirella Boshell-Fernandes | - | 18 | 15.1 | 2.5 | 2.6 | 0.4 | 0.4 | 0.7 | 0.6 | 1.8 | 4.2 | -36 | -2.8 | -15.6 | 48.5 | 0 | 56.5 | -1.02 | 52.2 | 48.5 |
| Ella Baumgartner | - | 20 | 9.6 | 1.6 | 1.0 | 0.2 | 0.1 | 0.0 | 1.0 | 0.8 | 1.1 | -55 | -3.4 | -69.9 | 56.2 | 50.0 | 71.4 | 0.25 | 72.2 | 68.8 |
| Patricia Gonzalez | - | 13 | 5.5 | 1.0 | 0.8 | 0.2 | 0.2 | 0.0 | 0.4 | 1.2 | 0.5 | 0 | 0.0 | 0.0 | 31.2 | 33.3 | 50.0 | 1.34 | 36.6 | 34.4 |
| Hannah Shaver | - | 12 | 7.1 | 0.7 | 1.2 | 0.3 | 0.2 | 0.2 | 0.7 | 0.8 | 1.2 | -42 | -3.2 | -83.0 | 44.4 | 0 | 0 | -2.4 | 44.4 | 44.4 |
| Olivia Nicolas | - | 8 | 6.6 | 0.0 | 0.8 | 0.2 | 0.0 | 0.0 | 0.1 | 0.8 | 0.1 | -16 | -2.7 | -43.6 | 0.0 | 0.0 | 0 | 0.14 | 0.0 | 0.0 |
| Eva Delgado | - | 6 | 2.4 | 0.0 | 0.5 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7 | 0 | 0.0 | 0.0 | 0 | 0 | 0.0 | -0.13 | 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