🐻⬇️🏀

Nazareth

Also known as: Nazareth
Program History

Model Outputs

2025-2026
Catalog

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. HCA +56 elo More → 1138 (#55) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -2.6 (#154) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 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. NetEff +55.0 More → 0.996 (#4) NetEff +55.0
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -2.5 More → 0.428 (#386) AdjNet -2.5
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -2.8 More → 0.420 (#386) AdjNet -2.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 75.0 | AdjD 77.2 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. AdjO 70.7 | AdjD 71.3 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. Blend of Elo, BT, Margin, PythLog, PtsOD 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. Blend of Elo, BT, Margin, PythLog, PtsOD 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. RD 99 | GP 22 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