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 → | 985 (#210) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 965 (#296) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 987 (#355) | HCA +95 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +5.9 (#226) | HCA +3.3 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.111 (#520) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.136 (#591) | AdjNet -16.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.154 (#577) | AdjNet -14.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.242 (#596) | AdjO 69.2 | AdjD 81.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.539 (#227) | AdjO 74.5 | AdjD 72.8 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.542 (#286) | 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 → | 0.532 (#290) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 920 (#315) | RD 301 | GP 1 |
2026 Schedule & Results
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Zach Oliver | - | 1 | 22.6 | 25.0 | 8.0 | 1.0 | 0.0 | 0.0 | 2.0 | 13.0 | 19.0 | - | - | - | 61.5 | 80.0 | 100.0 | - | 82.2 | 76.9 |
| Sawyer Butler | - | 1 | 35.5 | 12.0 | 4.0 | 4.0 | 4.0 | 0.0 | 3.0 | 18.0 | 3.0 | - | - | - | 22.2 | 16.7 | 66.7 | - | 31.1 | 27.8 |
| Nathan Richards | - | 1 | 24.0 | 11.0 | 1.0 | 1.0 | 1.0 | 0.0 | 4.0 | 7.0 | 3.0 | - | - | - | 42.9 | 66.7 | 100.0 | - | 66.1 | 57.1 |
| Karl Yonkeu | - | 1 | 32.4 | 8.0 | 8.0 | 0.0 | 2.0 | 0.0 | 4.0 | 7.0 | 7.0 | - | - | - | 57.1 | 0 | 0.0 | - | 50.8 | 57.1 |
| Volodymyr Trotsko | - | 1 | 15.8 | 6.0 | 5.0 | 0.0 | 2.0 | 1.0 | 0.0 | 8.0 | 6.0 | - | - | - | 37.5 | 0.0 | 0.0 | - | 35.5 | 37.5 |
| Anthony Covetta | - | 1 | 14.7 | 5.0 | 2.0 | 1.0 | 4.0 | 0.0 | 0.0 | 7.0 | 5.0 | - | - | - | 28.6 | 20.0 | 0 | - | 35.7 | 35.7 |
| Aiden Townsend | - | 1 | 25.9 | 5.0 | 6.0 | 1.0 | 4.0 | 0.0 | 1.0 | 7.0 | 8.0 | - | - | - | 28.6 | 33.3 | 0.0 | - | 31.7 | 35.7 |
| Zachary Pollaro | - | 1 | 5.3 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 1.0 | - | - | - | 50.0 | 0.0 | 0 | - | 50.0 | 50.0 |
| Thomas Kristian | - | 1 | 6.4 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | -2.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
| Malachi Rose-Burton | - | 1 | 17.2 | 0.0 | 3.0 | 4.0 | 0.0 | 0.0 | 0.0 | 2.0 | 5.0 | - | - | - | 0.0 | 0 | 0 | - | 0.0 | 0.0 |
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