Nazareth
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 → | 1122 (#80) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1116 (#117) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1138 (#55) | HCA +56 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -2.6 (#154) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -7.9 (#493) | HCA +3.0 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.726 (#332) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.996 (#4) | NetEff +55.0 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.428 (#386) | AdjNet -2.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.420 (#386) | AdjNet -2.8 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.450 (#391) | AdjO 75.0 | AdjD 77.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.486 (#441) | AdjO 70.7 | AdjD 71.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.503 (#392) | 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 → | 0.515 (#393) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1209 (#63) | RD 99 | GP 22 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-07 | vs | Medgar Evers | W | 89 - 52 |
| 2025-11-08 | vs | Marywood | W | 98 - 86 |
| 2025-11-11 | vs | RIT | W | 56 - 53 |
| 2025-11-15 | @ | Oswego St. | L | 66 - 77 |
| 2025-11-21 | vs | St. Lawrence | W | 69 - 58 |
| 2025-11-22 | vs | Rochester (NY) | L | 73 - 87 |
| 2025-12-06 | @ | Alfred | W | 90 - 56 |
| 2025-12-16 | @ | Keystone | W | 83 - 74 |
| 2025-12-19 | @ | York (PA) | L | 78 - 80 |
| 2025-12-20 | @ | Scranton | L | 63 - 73 |
| 2026-01-06 | vs | Houghton | W | 79 - 61 |
| 2026-01-09 | @ | SUNY Geneseo | W | 85 - 82 |
| 2026-01-10 | @ | SUNY Brockport | W | 79 - 62 |
| 2026-01-16 | vs | Elmira | W | 84 - 78 |
| 2026-01-17 | vs | Keuka | W | 71 - 54 |
| 2026-01-23 | @ | Russell Sage | L | 78 - 85 |
| 2026-01-24 | @ | Hartwick | W | 75 - 68 |
| 2026-01-28 | vs | St. John Fisher | W | 63 - 55 |
| 2026-01-30 | vs | Utica | W | 69 - 66 |
| 2026-01-31 | vs | SUNY Poly | W | 73 - 71 |
| 2026-02-06 | vs | SUNY Brockport | L | 66 - 81 |
| 2026-02-07 | vs | SUNY Geneseo | W | 79 - 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Jaylen Savage | - | 21 | 34.6 | 17.3 | 4.8 | 3.0 | 1.4 | 0.2 | 2.0 | 13.7 | 11.0 | 180 | 8.6 | 25.8 | 47.9 | 36.0 | 87.5 | 0.98 | 56.3 | 51.0 |
| Brendan Carr | - | 1 | 35.0 | 16.0 | 6.0 | 2.0 | 1.0 | 0.0 | 2.0 | 14.0 | 9.0 | 24 | 1.3 | 4.2 | 42.9 | 28.6 | 100.0 | 0.56 | 53.8 | 50.0 |
| Merritt Holly | - | 21 | 28.7 | 14.5 | 10.4 | 0.6 | 0.5 | 0.6 | 2.0 | 9.1 | 15.6 | 125 | 6.0 | 20.2 | 60.7 | 0 | 74.5 | 0.04 | 65.1 | 60.7 |
| Luke Insley | - | 21 | 29.6 | 12.0 | 2.4 | 6.7 | 0.7 | 0.0 | 1.2 | 8.5 | 12.2 | 126 | 6.0 | 19.4 | 52.2 | 22.2 | 81.2 | 0.54 | 59.3 | 52.8 |
| Nick Ruisi | - | 1 | 22.0 | 10.0 | 4.0 | 2.0 | 0.0 | 1.0 | 2.0 | 11.0 | 4.0 | 9 | 0.6 | 4.5 | 27.3 | 0.0 | 100.0 | 0.91 | 39.2 | 27.3 |
| Tyler Putney | - | 19 | 23.1 | 8.9 | 2.8 | 0.4 | 0.9 | 0.2 | 0.7 | 6.8 | 5.8 | 57 | 3.0 | 14.0 | 44.6 | 41.6 | 85.7 | -0.8 | 62.4 | 60.8 |
| Solomon McFarlane | - | 20 | 23.3 | 7.8 | 2.4 | 0.9 | 1.4 | 0.1 | 0.6 | 6.3 | 5.5 | 124 | 5.9 | 24.2 | 41.3 | 38.0 | 75.0 | 2.92 | 55.3 | 52.0 |
| Jon Spatola | - | 1 | 36.0 | 6.0 | 10.0 | 3.0 | 3.0 | 0.0 | 4.0 | 7.0 | 11.0 | 23 | 1.2 | 3.9 | 28.6 | 0.0 | 50.0 | -0.34 | 34.2 | 28.6 |
| Zachary McFarland | - | 20 | 11.7 | 5.4 | 1.1 | 0.1 | 0.6 | 0.1 | 0.5 | 4.2 | 2.4 | 16 | 0.8 | 6.6 | 45.9 | 37.3 | 91.7 | -1.21 | 59.8 | 57.1 |
| Hamilton Roth | - | 1 | 17.0 | 5.0 | 4.0 | 1.0 | 0.0 | 0.0 | 1.0 | 2.0 | 7.0 | -15 | -1.2 | -65.9 | 50.0 | 0 | 75.0 | 0.11 | 66.5 | 50.0 |
| Nick Purdie | - | 20 | 12.2 | 3.3 | 2.5 | 0.2 | 0.8 | 0.1 | 0.3 | 2.9 | 3.6 | 67 | 3.5 | 22.8 | 33.3 | 37.9 | 63.0 | 0.84 | 47.9 | 43.0 |
| Will Burnett | - | 21 | 8.7 | 2.2 | 0.5 | 0.4 | 0.1 | 0.0 | 0.3 | 2.7 | 0.2 | 49 | 2.3 | 35.1 | 33.3 | 38.5 | 50.0 | -0.26 | 38.6 | 37.7 |
| Will Marion | - | 1 | 23.0 | 2.0 | 4.0 | 0.0 | 1.0 | 0.0 | 1.0 | 3.0 | 3.0 | 51 | 2.7 | 10.7 | 0.0 | 0.0 | 50.0 | -1.29 | 21.0 | 0.0 |
| Josh Harter | - | 21 | 9.6 | 1.4 | 0.6 | 2.0 | 0.3 | 0.0 | 0.5 | 2.0 | 1.9 | 65 | 3.2 | 43.3 | 31.7 | 33.3 | 66.7 | 2.17 | 35.4 | 34.1 |
| Dylan Pohl | - | 21 | 5.5 | 1.4 | 1.2 | 0.1 | 0.0 | 0.6 | 0.0 | 1.0 | 2.4 | 29 | 1.5 | 20.9 | 70.0 | 0 | 28.6 | 0.47 | 65.0 | 70.0 |
| Ryan Broderick | - | 20 | 7.0 | 1.2 | 0.5 | 0.3 | 0.2 | 0.1 | 0.1 | 1.1 | 1.1 | 48 | 2.3 | 33.7 | 40.9 | 46.7 | 0.0 | 2.2 | 55.7 | 56.8 |
| Owen Boylan | - | 12 | 2.1 | 0.8 | 0.0 | 0.0 | 0.1 | 0.0 | 0.1 | 0.4 | 0.4 | -10 | -1.0 | -49.4 | 80.0 | 66.7 | 0 | 0.5 | 100.0 | 100.0 |
| Justin Cohen | - | 6 | 1.7 | 0.8 | 0.3 | 0.0 | 0.0 | 0.0 | 0.2 | 1.0 | 0.0 | 6 | 1.0 | 102.1 | 33.3 | 50.0 | 0 | 0.82 | 41.7 | 41.7 |
| Aiden Hathorn | - | 20 | 4.3 | 0.6 | 0.8 | 0.1 | 0.1 | 0.1 | 0.1 | 0.5 | 1.1 | 48 | 2.7 | 76.9 | 44.4 | 0 | 50.0 | 1.55 | 47.9 | 44.4 |
| Logan Shiland | - | 10 | 2.2 | 0.6 | 0.3 | 0.0 | 0.0 | 0.0 | 0.1 | 0.7 | 0.1 | -6 | -0.5 | -53.3 | 28.6 | 33.3 | 0 | -0.32 | 42.9 | 42.9 |
| Abram Wasileski | - | 8 | 1.7 | 0.0 | 0.1 | 0.0 | 0.1 | 0.0 | 0.0 | 0.0 | 0.2 | 16 | 1.6 | 113.9 | 0 | 0 | 0.0 | 0.86 | 0.0 | 0 |
| Luca Baratta | - | 1 | 4.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -38 | -2.0 | -17.2 | 0 | 0 | 0 | -3.5 | 0 | 0 |
| Ben Robinson | - | 1 | 16.0 | 0.0 | 2.0 | 1.0 | 0.0 | 0.0 | 1.0 | 0.0 | 2.0 | -13 | -0.7 | -2.3 | 0 | 0 | 0 | 1.9 | 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