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Lycoming

Also known as: Lycoming
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 โ†’ 879 (#297) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 848 (#310) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More โ†’ 904 (#670) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.4 More โ†’ -10.8 (#262) HCA +2.4
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More โ†’ -9.7 (#525) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.193 (#352) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +4.4 More โ†’ 0.614 (#37) NetEff +4.4
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -19.4 More โ†’ 0.097 (#329) AdjNet -19.4
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -19.7 More โ†’ 0.092 (#329) AdjNet -19.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 68.2 | AdjD 82.2 More โ†’ 0.219 (#322) AdjO 68.2 | AdjD 82.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 70.4 | AdjD 75.2 More โ†’ 0.392 (#587) AdjO 70.4 | AdjD 75.2
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 โ†’ 0.276 (#596) 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 โ†’ 0.292 (#596) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 109 | GP 21 More โ†’ 885 (#491) RD 109 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 vs Alfred W 76 - 73
2025-11-08 @ Hiram L 60 - 82
2025-11-12 vs Keuka W 71 - 59
2025-11-15 @ Dickinson L 54 - 60
2025-11-19 @ Wilkes L 67 - 74
2025-11-22 vs Catholic L 49 - 82
2025-11-24 vs King's (PA) W 98 - 78
2025-12-03 vs Goucher L 56 - 72
2025-12-06 @ Drew L 72 - 75
2025-12-30 @ Texas Lutheran L 67 - 82
2026-01-03 @ Lebanon Valley W 87 - 85
2026-01-07 vs Susquehanna L 84 - 85
2026-01-11 vs Moravian L 81 - 88
2026-01-14 @ Scranton L 72 - 77
2026-01-17 @ Elizabethtown L 66 - 86
2026-01-21 vs Juniata L 59 - 66
2026-01-24 @ Catholic - Incomplete score
2026-01-28 vs Wilkes - Incomplete score
2026-01-31 vs Drew - Incomplete score
2026-02-04 @ Goucher W 69 - 61
2026-02-07 @ Susquehanna L 59 - 78
2026-02-11 vs Scranton L 69 - 70
2026-02-14 @ Moravian L 71 - 79
2026-02-18 @ Juniata L 60 - 79
2026-02-21 vs Elizabethtown L 48 - 78

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 GP PM/G PM/40 FG% 3P% FT% RAPM TS% eFG%
Princeton Layton - 16 28.4 14.4 4.4 1.7 0.9 0.5 2.1 10.9 8.9 - - - - 43.1 32.9 73.7 - 55.4 50.0
Isaiah Valentine - 24 34.4 12.7 4.4 3.0 0.7 0.2 1.8 10.3 9.0 - - - - 44.8 37.9 63.5 - 56.3 54.8
Hayden Pardoe - 23 29.1 12.0 6.7 1.5 1.0 0.5 2.0 10.7 9.1 - - - - 36.6 31.2 79.7 - 49.3 43.5
Noa'Sosa Friedman - 24 29.8 10.2 4.7 2.2 1.1 0.0 2.2 7.4 8.7 - - - - 57.6 25.0 49.4 - 58.3 58.8
Connor Shanahan - 25 21.1 8.1 2.2 2.7 1.0 0.0 1.0 7.8 5.4 - - - - 38.1 33.3 68.2 - 47.6 44.6
Elisha Slabach - 22 18.9 6.3 2.8 0.6 0.5 0.1 1.2 6.5 2.5 - - - - 31.2 26.5 84.0 - 44.5 40.6
J.J. Beagle - 25 21.5 6.2 3.9 0.6 0.3 0.9 0.8 5.4 5.6 - - - - 48.1 31.8 56.7 - 52.0 50.7
Charlie Sims - 14 11.7 2.9 1.7 0.7 0.3 0.1 0.7 3.1 1.9 - - - - 34.9 37.0 0 - 46.5 46.5
Gabriel Buksh - 17 9.1 2.4 1.2 0.6 0.2 0.1 0.3 2.5 1.6 - - - - 30.2 33.3 75.0 - 44.7 43.0
Noah Mathis - 25 16.6 2.1 1.9 0.5 0.5 0.9 0.7 2.2 3.0 - - - - 37.0 23.1 54.5 - 44.2 42.6
Lane Yoder - 9 4.8 1.9 0.6 0.1 0.0 0.1 0.1 1.3 1.2 - - - - 41.7 50.0 57.1 - 56.4 54.2
Blessing Ekwuazi - 5 3.7 1.0 0.4 0.0 0.0 0.0 0.4 0.8 0.2 - - - - 50.0 0 100.0 - 56.3 50.0
Ben Dalton - 11 5.6 0.8 1.0 0.5 0.4 0.0 0.2 0.7 1.7 - - - - 37.5 0 75.0 - 46.1 37.5
Roman Panko - 4 3.5 0.5 0.2 0.2 0.0 0.0 0.2 0.2 0.5 - - - - 0.0 0 50.0 - 36.2 0.0
Ethan Bomgardner - 5 1.3 0.2 0.0 0.0 0.2 0.0 0.2 0.0 0.2 - - - - 0 0 50.0 - 56.8 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