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Jefferson

Also known as: Jefferson
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 → 1081 (#96) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1077 (#123) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 1031 (#193) HCA +75 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → -2.2 (#200) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → -0.0 (#366) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.911 (#179) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +8.1 More → 0.758 (#208) NetEff +8.1
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +8.8 More → 0.734 (#306) AdjNet +8.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +9.0 More → 0.743 (#307) AdjNet +9.0
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 66.9 | AdjD 61.5 More → 0.619 (#316) AdjO 66.9 | AdjD 61.5
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 65.0 | AdjD 62.8 More → 0.548 (#262) AdjO 65.0 | AdjD 62.8
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 → 0.533 (#328) 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 → 0.545 (#312) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 97 | GP 23 More → 1045 (#202) RD 97 | GP 23

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-15 @ Queens (NY) W 82 - 57
2025-11-16 @ Molloy W 70 - 55
2025-11-19 vs East Stroudsburg W 64 - 49
2025-11-22 @ Kutztown W 50 - 48
2025-11-25 @ Felician L 51 - 81
2025-11-30 vs West Chester L 54 - 58
2025-12-03 vs Wilmington (DE) W 74 - 43
2025-12-06 vs Bridgeport W 63 - 61
2025-12-11 @ Georgian Court L 64 - 74
2025-12-19 @ Millersville L 65 - 80
2025-12-20 vs St. Thomas Aquinas W 58 - 43
2025-12-30 vs Bloomsburg W 55 - 33
2026-01-02 vs Post W 62 - 45
2026-01-10 @ Caldwell W 69 - 61
2026-01-14 @ Goldey-Beacom W 73 - 51
2026-01-17 vs Dominican (NY) W 61 - 44
2026-01-20 @ Chestnut Hill L 69 - 75
2026-01-24 vs Felician W 59 - 52
2026-01-29 @ Wilmington (DE) W 66 - 51
2026-01-31 @ Bridgeport L 60 - 67
2026-02-03 vs Georgian Court W 81 - 52
2026-02-07 @ Post L 99 - 104

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%
Emily Spratt - 22 37.4 20.2 6.2 2.3 3.0 0.2 2.2 16.2 13.5 87 3.8 13.3 48.5 39.1 73.6 1.39 54.9 51.0
Gabby Recinto - 21 33.3 15.4 8.8 1.9 1.5 0.8 2.9 13.7 11.8 83 3.8 13.1 43.2 23.5 70.1 4.16 49.1 44.6
Carolyn Sipprell - 21 31.3 6.9 5.3 1.5 1.6 0.3 1.8 7.6 6.1 40 1.8 6.1 35.0 25.6 73.3 1.36 41.6 38.1
Tori Nigro - 22 35.4 6.5 2.7 5.3 1.5 0.0 2.6 7.0 6.4 86 3.7 11.9 32.0 30.8 60.6 0.35 39.0 33.3
Jordyn Thomas - 22 24.7 5.1 4.5 1.7 1.0 0.8 0.8 5.0 7.3 81 3.5 17.7 43.2 0.0 85.0 -0.12 47.2 43.2
Ana Pellecchia - 22 16.5 4.7 2.7 1.3 1.5 0.1 1.8 5.4 3.1 39 1.7 15.6 31.4 27.4 68.4 -0.84 41.2 38.6
Caleigh Sperling - 22 11.1 4.2 2.5 0.5 0.6 0.0 0.7 4.3 2.8 27 1.2 19.7 38.3 27.3 78.6 -0.16 45.9 43.1
Kylie Mulholland - 3 2.3 2.3 0.7 0.3 0.0 0.0 0.0 1.7 1.7 - - - 60.0 33.3 0 0.14 70.0 70.0
Jade Marquez - 21 9.3 1.8 2.0 0.2 0.4 0.0 0.6 1.7 2.1 9 0.4 5.7 37.1 66.7 47.4 -2.79 42.7 40.0
Kaci Mikulski - 16 6.4 1.8 0.3 0.4 0.2 0.1 0.2 3.2 -0.6 18 1.1 15.9 21.6 13.8 100.0 -0.62 27.7 25.5
Kylie Mullholland - 2 2.6 1.5 0.5 1.0 0.0 0.0 0.0 1.5 1.5 -3 -1.5 -22.5 33.3 50.0 0 -0.17 50.0 50.0
Carlie Lapinski - 15 4.3 0.5 1.0 0.2 0.1 0.1 0.3 0.8 0.7 -3 -0.2 -5.2 16.7 0.0 37.5 -0.51 22.6 16.7
Kylie Mulhlolland - 6 2.4 0.3 0.2 0.2 0.0 0.0 0.5 0.7 -0.5 - - - 25.0 0 0 - 25.0 25.0

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