Franciscan
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 → | 940 (#347) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 828 (#520) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 751 (#711) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -20.4 (#357) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -24.8 (#648) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.030 (#689) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.079 (#498) | NetEff -16.8 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.016 (#650) | AdjNet -35.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.014 (#650) | AdjNet -35.9 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.101 (#657) | AdjO 53.0 | AdjD 77.1 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.163 (#680) | AdjO 54.2 | AdjD 72.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.091 (#666) | 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 → | 0.092 (#671) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 652 (#554) | RD 111 | GP 21 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-07 | @ | SUNY Canton | L | 70 - 86 |
| 2025-11-08 | vs | SUNY Delhi | W | 72 - 48 |
| 2025-11-11 | @ | Wooster | L | 52 - 82 |
| 2025-11-13 | vs | Penn St.-Gr Allegheny | W | 99 - 44 |
| 2025-11-15 | vs | Carlow | W | 53 - 42 |
| 2025-11-19 | vs | Denison | L | 49 - 84 |
| 2025-11-21 | vs | Ill. Wesleyan | L | 56 - 88 |
| 2025-11-22 | @ | Carthage | L | 50 - 70 |
| 2025-11-25 | vs | Penn St.-Beaver | L | 76 - 78 |
| 2025-12-03 | @ | Waynesburg | L | 59 - 78 |
| 2025-12-06 | vs | Wash. & Jeff. | L | 47 - 83 |
| 2026-01-07 | @ | Saint Vincent | L | 33 - 76 |
| 2026-01-10 | @ | Grove City | L | 33 - 61 |
| 2026-01-14 | vs | Bethany (WV) | L | 61 - 80 |
| 2026-01-17 | vs | Westminster (PA) | L | 58 - 75 |
| 2026-01-21 | @ | Chatham | L | 46 - 76 |
| 2026-01-24 | @ | Thiel | L | 65 - 77 |
| 2026-01-28 | vs | Waynesburg | L | 60 - 71 |
| 2026-01-31 | vs | Hiram | L | 76 - 86 |
| 2026-02-04 | @ | Wash. & Jeff. | L | 47 - 76 |
| 2026-02-07 | vs | Geneva | L | 83 - 89 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Maria McCallen | - | 10 | 27.9 | 12.8 | 6.4 | 1.6 | 1.1 | 0.9 | 3.8 | 11.1 | 7.9 | -83 | -8.3 | -25.6 | 44.1 | 0.0 | 71.4 | -1.38 | 49.4 | 44.1 |
| Jazzlyn Melnyk | - | 21 | 35.5 | 12.8 | 11.8 | 2.5 | 2.1 | 0.5 | 2.5 | 13.2 | 14.0 | -217 | -10.3 | -30.7 | 37.2 | 29.2 | 45.0 | -0.72 | 42.9 | 41.9 |
| Abbigail Jannuzi | - | 21 | 27.2 | 10.9 | 2.8 | 1.1 | 1.2 | 0.0 | 2.4 | 12.1 | 1.5 | -137 | -6.5 | -24.7 | 29.8 | 28.2 | 77.8 | 0.82 | 41.7 | 38.0 |
| Magdalen Simon | - | 11 | 20.9 | 10.8 | 5.6 | 1.0 | 1.1 | 0.3 | 2.9 | 10.0 | 5.9 | -123 | -11.2 | -51.8 | 35.5 | 28.3 | 65.0 | -0.32 | 46.6 | 42.3 |
| Caroline Reedy | - | 5 | 19.7 | 8.8 | 7.0 | 1.8 | 3.6 | 0.6 | 2.6 | 11.2 | 8.0 | -47 | -9.4 | -23.4 | 30.4 | 22.2 | 44.4 | -0.57 | 34.4 | 32.1 |
| Bella Urso | - | 3 | 30.0 | 6.3 | 5.7 | 1.3 | 2.0 | 1.0 | 2.3 | 7.0 | 7.0 | - | - | - | 33.3 | 18.2 | 75.0 | - | 41.7 | 38.1 |
| Isa Saez-Pedraza | - | 21 | 15.9 | 5.4 | 2.0 | 1.2 | 2.1 | 0.2 | 1.6 | 6.2 | 3.2 | -125 | -6.0 | -44.6 | 33.1 | 23.9 | 61.5 | -2.92 | 39.9 | 37.3 |
| Hannah Johnson | - | 21 | 19.7 | 4.2 | 2.7 | 1.1 | 0.9 | 0.4 | 2.3 | 4.4 | 2.7 | -83 | -4.0 | -19.2 | 31.2 | 29.2 | 55.8 | -1.39 | 39.8 | 34.9 |
| Emma Clow | - | 21 | 24.4 | 3.4 | 2.4 | 2.1 | 1.4 | 0.1 | 2.3 | 4.8 | 2.5 | -152 | -7.2 | -30.0 | 26.0 | 20.0 | 43.5 | -2.39 | 32.7 | 31.0 |
| Gemma Biasutto | - | 19 | 12.1 | 3.4 | 4.4 | 0.3 | 0.3 | 0.6 | 1.4 | 3.7 | 3.9 | -111 | -5.8 | -40.6 | 40.0 | 0 | 64.3 | -1.35 | 42.7 | 40.0 |
| Lucy Wilkinson | - | 21 | 27.4 | 3.1 | 1.8 | 1.9 | 0.6 | 0.2 | 2.0 | 5.1 | 0.3 | -211 | -10.0 | -39.4 | 22.4 | 14.6 | 71.4 | -2.75 | 28.7 | 25.7 |
| Josephine Camardo | - | 5 | 4.4 | 1.6 | 0.8 | 0.2 | 0.0 | 0.0 | 0.4 | 1.6 | 0.6 | -6 | -1.2 | -66.7 | 37.5 | 100.0 | 50.0 | 0.75 | 45.0 | 43.8 |
| Annie Pesce | - | 11 | 4.1 | 1.2 | 1.3 | 0.0 | 0.4 | 0.0 | 0.5 | 1.0 | 1.3 | -15 | -1.4 | -59.8 | 36.4 | 0 | 62.5 | -0.16 | 44.8 | 36.4 |
| Angelina Beath | - | 11 | 6.7 | 1.2 | 1.5 | 0.3 | 0.1 | 0.0 | 0.3 | 1.5 | 1.3 | 2 | 0.2 | 2.7 | 31.2 | 33.3 | 50.0 | 1.9 | 38.5 | 37.5 |
| Josephine Carmado | - | 1 | 2.6 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 4 | 4.0 | 62.3 | 0 | 0 | 0 | 0.62 | 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