Saint Joseph (CT)
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 → | 897 (#407) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 844 (#512) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 892 (#620) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -21.4 (#363) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -21.0 (#615) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.757 (#329) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.117 (#481) | NetEff -13.4 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.392 (#415) | AdjNet -3.8 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.370 (#423) | AdjNet -4.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.434 (#417) | AdjO 63.7 | AdjD 66.6 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.274 (#622) | AdjO 56.5 | AdjD 67.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.167 (#620) | 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 → | 0.180 (#621) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 789 (#494) | RD 151 | GP 5 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2026-01-24 | vs | Emmanuel (MA) | L | 44 - 70 |
| 2026-01-28 | @ | Dean | W | 79 - 60 |
| 2026-01-31 | @ | Rivier | W | 80 - 59 |
| 2026-02-03 | vs | Albertus Magnus | L | 56 - 70 |
| 2026-02-07 | vs | Colby-Sawyer | L | 59 - 69 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Ella Kulas | - | 5 | 29.7 | 15.6 | 7.4 | 1.0 | 0.4 | 0.2 | 3.0 | 12.2 | 9.4 | -132 | -7.3 | -49.4 | 49.2 | 0 | 81.8 | 0.94 | 55.2 | 49.2 |
| Sequoia Turcotte Briggs | - | 5 | 33.6 | 13.8 | 4.0 | 2.2 | 1.2 | 1.2 | 3.2 | 16.8 | 2.4 | -131 | -6.2 | -39.0 | 33.3 | 20.0 | 75.0 | 0.31 | 39.4 | 37.5 |
| Nevaeh Yorke | - | 5 | 23.4 | 9.0 | 6.6 | 4.0 | 2.8 | 0.0 | 4.0 | 7.6 | 10.8 | -56 | -2.8 | -24.3 | 34.2 | 0 | 61.3 | 2.95 | 43.6 | 34.2 |
| Maddy Evans | - | 5 | 26.8 | 8.8 | 3.2 | 1.8 | 1.0 | 0.0 | 3.2 | 6.6 | 5.0 | -48 | -6.9 | -18.0 | 48.5 | 44.4 | 66.7 | -3.45 | 57.5 | 54.5 |
| Kiatyanna Denmark | - | 5 | 26.1 | 5.4 | 5.6 | 0.6 | 0.0 | 0.0 | 3.2 | 5.8 | 2.6 | -48 | -3.0 | -21.0 | 37.9 | 0 | 71.4 | -1.87 | 42.1 | 37.9 |
| Madeline Greene | - | 5 | 27.4 | 3.8 | 5.4 | 0.6 | 0.4 | 0.8 | 1.0 | 3.0 | 7.0 | -21 | -1.0 | -8.1 | 60.0 | 0 | 50.0 | -1.1 | 59.8 | 60.0 |
| Gjamory'a McTier | - | 5 | 9.4 | 3.2 | 3.0 | 0.6 | 0.4 | 0.0 | 1.0 | 3.0 | 3.2 | -107 | -5.1 | -107.5 | 33.3 | 0 | 85.7 | -0.86 | 44.2 | 33.3 |
| Reagan Heafey-De Angelis | - | 4 | 9.0 | 2.0 | 2.8 | 0.2 | 0.0 | 0.0 | 0.8 | 2.5 | 1.8 | -44 | -2.6 | -43.9 | 30.0 | 66.7 | 0.0 | -0.41 | 34.0 | 40.0 |
| Daichelle San Nicolas | - | 3 | 1.1 | 1.3 | 0.3 | 0.3 | 0.0 | 0.0 | 0.0 | 0.7 | 1.3 | -17 | -2.4 | -214.7 | 50.0 | 0 | 100.0 | 0.21 | 69.4 | 50.0 |
| Trinity Cruz | - | 5 | 13.9 | 1.2 | 1.0 | 1.2 | 0.0 | 0.0 | 2.0 | 3.0 | -1.6 | -98 | -4.7 | -57.8 | 6.7 | 9.1 | 75.0 | -1.97 | 17.9 | 10.0 |
| Loucie Jean | - | 3 | 2.0 | 0.7 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | 0.3 | 1 | 0.1 | 12.8 | 100.0 | 0 | 0 | 0.12 | 100.0 | 100.0 |
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