🐻⬇️🏀

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 → 896 (#539) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 857 (#546) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 904 (#670) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -11.7 (#278) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → -9.7 (#525) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.193 (#670) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +4.4 More → 0.614 (#37) NetEff +4.4
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -19.4 More → 0.097 (#648) AdjNet -19.4
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -19.7 More → 0.092 (#648) 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 → 0.219 (#639) 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 → 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 → 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 → 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 → 889 (#496) 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 L 59 - 86
2026-01-28 vs Wilkes W 72 - 55
2026-01-31 vs Drew L 93 - 107
2026-02-04 @ Goucher W 69 - 61
2026-02-07 @ Susquehanna L 59 - 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/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 -50 -3.1 -22.7 43.1 32.9 73.7 0.25 55.4 50.0
Hayden Pardoe - 19 29.2 13.2 6.8 1.3 1.2 0.4 2.1 10.6 10.2 -104 -5.5 -25.9 40.3 33.3 79.5 -1.07 53.6 47.8
Isaiah Valentine - 20 33.9 12.6 4.5 2.9 0.8 0.3 1.6 9.9 9.6 -81 -4.3 -13.0 46.5 35.5 63.0 1.15 57.5 56.1
Noa'Sosa Friedman - 21 28.8 9.3 4.6 2.1 1.2 0.0 2.2 6.7 8.2 -48 -2.4 -9.4 56.0 8.3 51.4 0.37 56.8 56.4
Connor Shanahan - 21 21.8 8.8 2.3 3.0 1.1 0.0 1.0 8.2 6.1 -7 -0.3 -1.7 39.0 32.8 66.7 3.42 48.3 45.3
Elisha Slabach - 18 19.3 6.4 2.4 0.6 0.5 0.1 1.1 6.7 2.1 -10 -0.6 -3.6 32.2 26.8 78.9 -0.53 44.4 41.3
J.J. Beagle - 21 20.3 5.5 3.2 0.6 0.2 0.9 0.9 4.8 4.7 -63 -3.1 -18.3 50.0 35.3 52.6 0.47 53.5 53.0
Charlie Sims - 12 11.8 2.9 1.9 0.8 0.3 0.1 0.8 3.2 2.0 -22 -2.0 -9.0 33.3 36.0 0 -0.14 44.9 44.9
Noah Mathis - 21 16.7 2.3 2.1 0.6 0.5 0.9 0.6 2.3 3.5 -22 -1.1 -8.2 37.5 25.0 54.5 -2.24 45.4 43.8
Lane Yoder - 8 3.5 1.8 0.5 0.0 0.0 0.1 0.1 1.2 1.0 -8 -1.3 -73.0 40.0 50.0 57.1 -1.02 53.5 50.0
Gabriel Buksh - 14 7.5 1.4 1.0 0.5 0.1 0.0 0.2 1.7 1.1 -41 -3.7 -45.3 25.0 22.2 75.0 -4.09 36.9 33.3
Blessing Ekwuazi - 4 3.9 1.2 0.5 0.0 0.0 0.0 0.5 0.8 0.5 -2 -0.7 -47.1 66.7 0 100.0 0.06 72.7 66.7
Ben Dalton - 8 4.7 0.6 0.9 0.2 0.4 0.0 0.0 0.6 1.5 8 1.3 24.0 40.0 0 50.0 0.78 42.5 40.0
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 - 4 1.4 0.2 0.0 0.0 0.2 0.0 0.2 0.0 0.2 -6 -2.0 -58.5 0 0 50.0 -0.71 56.8 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