🐻⬇️🏀

Franciscan

Also known as: Franciscan
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 → 1184 (#35) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1097 (#143) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 1054 (#164) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -0.2 (#123) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → -5.1 (#437) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.440 (#507) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +18.2 More → 0.836 (#19) NetEff +18.2
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -11.5 More → 0.210 (#530) AdjNet -11.5
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -11.7 More → 0.203 (#531) AdjNet -11.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 69.3 | AdjD 77.9 More → 0.315 (#522) AdjO 69.3 | AdjD 77.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 74.4 | AdjD 73.4 More → 0.521 (#355) AdjO 74.4 | AdjD 73.4
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 → 0.474 (#423) 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 → 0.488 (#415) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 96 | GP 23 More → 1108 (#158) RD 96 | GP 23

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 @ Beloit W 70 - 68
2025-11-08 @ Adrian W 106 - 92
2025-11-12 vs Penn St.-New Kens. W 105 - 59
2025-11-15 vs Penn St.-Behrend W 80 - 65
2025-11-22 @ Penn St.-Altoona L 63 - 64
2025-11-29 @ Saint Francis L 60 - 85
2025-12-03 @ Waynesburg W 81 - 63
2025-12-06 vs Wash. & Jeff. L 82 - 86
2025-12-15 @ Wheeling L 74 - 82
2025-12-19 vs Penn St.-Shenango W 89 - 78
2025-12-29 @ Stevenson W 70 - 66
2025-12-30 @ Juniata W 85 - 79
2026-01-03 vs Capital W 92 - 74
2026-01-07 @ Saint Vincent W 85 - 72
2026-01-10 @ Grove City L 62 - 77
2026-01-14 vs Bethany (WV) W 89 - 73
2026-01-17 vs Westminster (PA) W 87 - 79
2026-01-21 @ Chatham L 74 - 76
2026-01-24 @ Thiel W 68 - 53
2026-01-28 vs Waynesburg W 87 - 57
2026-01-31 vs Hiram W 68 - 55
2026-02-04 @ Wash. & Jeff. L 77 - 81
2026-02-07 vs Geneva W 78 - 64

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%
Sawyer Butler - 23 30.3 21.9 5.0 2.1 2.6 0.9 2.6 14.7 15.3 64 3.2 19.8 42.6 32.1 83.7 3.68 58.7 48.8
Zach Oliver - 21 25.0 12.6 7.6 1.1 0.6 0.1 0.9 9.6 11.6 87 5.4 29.9 49.0 37.2 64.0 1.3 59.2 57.7
Anthony Covetta - 23 15.9 9.0 1.9 0.6 0.6 0.1 0.8 7.3 4.0 41 2.2 16.4 44.0 39.5 70.6 0.92 59.0 58.0
Zachary Pollaro - 19 19.5 8.5 2.7 0.9 1.1 0.0 0.6 6.5 6.2 113 7.5 49.8 39.5 39.7 78.7 -1.48 56.0 50.4
Karl Yonkeu - 23 25.0 7.3 5.6 1.6 1.0 1.2 1.7 7.3 7.8 87 4.6 39.1 42.0 0 49.1 0.78 43.7 42.0
Aiden Townsend - 23 18.8 5.7 2.9 0.8 0.8 1.1 1.2 5.5 4.7 116 6.1 63.0 42.1 30.3 51.6 1.02 47.3 46.0
Volodymyr Trotsko - 21 13.2 4.1 3.4 0.8 0.5 0.1 0.6 3.9 4.5 34 1.9 18.7 41.5 25.0 66.7 -2.85 47.0 43.3
Nathan Richards - 23 17.7 4.0 1.4 1.7 0.7 0.1 1.0 3.9 3.1 48 2.4 27.4 35.6 38.1 65.0 -0.97 47.1 44.4
Anthony Ciola - 21 10.2 3.4 1.6 0.5 0.6 0.1 0.5 3.3 2.4 25 1.4 29.5 35.7 32.5 66.7 0.94 47.2 45.0
Malachi Rose-Burton - 23 18.6 3.2 2.4 2.0 0.6 0.3 0.5 2.6 5.3 -30 -1.5 -12.0 45.8 31.2 70.0 1.56 53.8 50.0
Benji Rook - 6 2.4 1.7 0.3 0.2 0.5 0.0 0.0 1.2 1.5 8 1.6 90.6 57.1 0 100.0 0.22 63.5 57.1
Travis Zimmerman - 3 1.5 1.3 1.0 0.0 0.0 0.0 0.3 0.7 1.3 - - - 50.0 0 100.0 - 69.4 50.0
Thomas Kristian - 23 8.9 1.2 0.5 0.3 0.7 0.0 0.4 1.1 1.3 41 2.2 26.8 52.0 22.2 0 -1.03 56.0 56.0
Reece Miller - 10 1.7 0.9 0.1 0.0 0.1 0.0 0.4 1.0 -0.3 3 0.4 26.2 30.0 42.9 0 0.28 45.0 45.0
Joseph Fatica - 4 1.3 0.8 0.2 0.0 0.0 0.2 0.0 0.5 0.8 5 1.7 272.7 50.0 50.0 0 0.0 75.0 75.0
Nathan Rodriguez - 13 2.8 0.7 0.5 0.5 0.2 0.0 0.2 0.4 1.2 9 0.8 40.3 60.0 100.0 50.0 -0.33 66.6 70.0
Aidan Jacomet - 4 2.1 0.5 0.0 0.5 0.2 0.0 0.0 0.5 0.8 -1 -0.5 -22.2 50.0 0 0 -0.81 50.0 50.0
Michael Swallow - 6 1.8 0.3 0.3 0.0 0.0 0.0 0.0 0.7 0.0 11 2.8 178.4 25.0 0.0 0 1.03 25.0 25.0
Sam Seiden - 6 2.2 0.3 0.3 0.3 0.0 0.0 0.0 1.0 0.0 5 1.2 88.2 16.7 0.0 0 -0.34 16.7 16.7
Mark Sweeney - 2 2.7 0.0 1.0 0.0 0.0 0.0 0.5 0.5 0.0 3 1.0 28.1 0.0 0 0 0.22 0.0 0.0
Troy Anthony - 5 1.9 0.0 0.4 0.4 0.2 0.0 0.0 0.4 0.6 2 0.5 18.7 0.0 0.0 0 0.22 0.0 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