🐻⬇️🏀

Clarion

Also known as: Clarion
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 → 1016 (#241) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1022 (#248) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 1027 (#206) HCA +75 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → -2.1 (#198) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → +0.6 (#356) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.243 (#471) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +3.0 More → 0.599 (#247) NetEff +3.0
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -8.3 More → 0.277 (#477) AdjNet -8.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -7.8 More → 0.285 (#477) AdjNet -7.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 68.9 | AdjD 73.9 More → 0.387 (#476) AdjO 68.9 | AdjD 73.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 71.0 | AdjD 71.8 More → 0.482 (#411) AdjO 71.0 | AdjD 71.8
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 → 0.538 (#321) 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 → 0.539 (#318) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 104 | GP 20 More → 1103 (#107) RD 104 | GP 20

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-14 vs Livingstone W 96 - 68
2025-11-15 vs Bluefield St. W 66 - 63
2025-11-20 vs Ohio Dominican W 77 - 57
2025-11-22 vs Lake Erie W 88 - 71
2025-12-03 @ Roberts Wesleyan W 84 - 67
2025-12-06 @ Millersville W 79 - 71
2025-12-09 vs Felician L 76 - 79
2025-12-16 vs East Stroudsburg L 73 - 78
2025-12-20 @ Kutztown L 49 - 76
2025-12-21 @ West Chester L 73 - 80
2026-01-02 vs Shepherd W 81 - 74
2026-01-03 vs Shippensburg W 71 - 61
2026-01-10 @ Seton Hill L 96 - 112
2026-01-14 vs California (PA) L 57 - 86
2026-01-17 vs Pitt.-Johnstown W 86 - 72
2026-01-24 vs Indiana (PA) W 78 - 77
2026-01-28 @ Gannon L 74 - 83
2026-01-31 vs Edinboro W 59 - 55
2026-02-07 vs Seton Hill L 84 - 98

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%
Zoe Guice - 16 26.7 15.1 2.8 3.8 3.1 0.5 4.4 13.3 7.6 78 4.3 18.0 38.5 31.0 69.9 4.81 47.7 41.5
Arianna Seitz - 19 28.9 13.4 5.5 1.8 1.2 0.6 2.4 12.5 7.5 46 2.2 9.3 37.8 27.8 77.6 1.63 47.5 42.4
Kendall Berger - 14 27.7 10.3 3.6 2.4 1.7 0.3 1.4 7.1 9.7 13 0.9 3.0 49.5 38.9 78.0 -0.12 61.5 56.6
Zoé Bayer - 19 22.1 9.0 3.2 1.8 2.2 0.2 1.6 7.5 7.2 -33 -1.6 -11.1 43.7 31.4 83.8 -1.09 54.0 49.3
Alyssa Terza - 18 26.5 8.0 8.1 1.3 1.7 0.9 2.0 7.9 10.2 17 0.8 4.0 35.2 30.8 66.7 -0.02 47.2 45.1
Aundraya Neavins - 18 18.8 7.1 2.9 2.2 1.3 0.1 3.4 4.9 5.2 -8 -0.4 -2.9 42.0 35.0 78.0 -0.73 55.7 46.0
Niah Smedley - 19 19.8 7.0 5.2 1.2 1.0 1.0 2.2 6.2 6.9 50 2.5 18.4 48.3 10.0 75.0 1.41 51.7 48.7
Lia Krarup - 8 13.7 5.6 2.0 1.0 1.6 0.0 2.1 6.4 1.8 - - - 29.4 26.7 63.6 - 40.3 37.3
Madison Palek - 12 19.6 4.8 5.2 0.3 0.3 1.2 1.9 4.2 5.7 35 2.5 21.0 37.3 0.0 54.3 0.5 42.9 37.3
Dominika Logue - 19 13.8 4.2 2.5 0.5 0.9 0.5 1.1 3.7 3.6 -5 -0.2 -2.2 33.8 34.0 87.5 1.19 50.6 45.8
Claire Noble - 14 7.3 2.1 0.9 0.0 0.2 0.1 0.6 2.0 0.9 -38 -2.5 -52.2 32.1 33.3 62.5 -0.84 47.6 44.6
Jaylyn Twitty - 11 8.0 1.3 2.2 0.7 0.4 0.0 0.9 1.2 2.5 44 4.0 104.2 15.4 0.0 62.5 0.84 34.9 15.4
Averi Brozeski - 7 7.7 1.0 0.9 0.6 0.4 0.0 1.0 1.4 0.4 -7 -1.0 -30.9 20.0 12.5 100.0 1.16 32.2 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