🐻⬇️🏀

Hiram

Also known as: Hiram
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 → 913 (#515) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 874 (#527) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 769 (#768) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -12.5 (#284) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → -20.5 (#691) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.165 (#699) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +10.3 More → 0.742 (#26) NetEff +10.3
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -19.0 More → 0.101 (#645) AdjNet -19.0
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -19.1 More → 0.097 (#642) AdjNet -19.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 69.6 | AdjD 83.7 More → 0.217 (#641) AdjO 69.6 | AdjD 83.7
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 65.7 | AdjD 78.7 More → 0.235 (#723) AdjO 65.7 | AdjD 78.7
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 → 0.127 (#726) 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 → 0.131 (#728) 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 22 More → 731 (#604) RD 96 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 @ Alfred St. W 93 - 80
2025-11-08 vs Lycoming W 82 - 60
2025-11-15 @ Bluffton W 70 - 67
2025-11-22 @ Pitt.-Greensburg L 71 - 97
2025-11-25 @ Baldwin Wallace L 58 - 76
2025-12-03 @ Thiel L 58 - 61
2025-12-06 vs Grove City L 57 - 65
2025-12-10 vs CWRU L 74 - 92
2025-12-17 vs Heidelberg L 61 - 68
2025-12-20 @ Ohio Dominican L 65 - 85
2025-12-31 @ Adrian W 91 - 83
2026-01-03 vs Penn St.-Behrend L 62 - 72
2026-01-07 @ Geneva L 63 - 72
2026-01-10 vs Bethany (WV) W 88 - 83
2026-01-14 @ Westminster (PA) L 54 - 68
2026-01-17 vs Wash. & Jeff. L 82 - 95
2026-01-21 @ Allegheny L 55 - 67
2026-01-24 vs Chatham L 59 - 62
2026-01-28 @ Grove City L 68 - 80
2026-01-31 @ Franciscan L 55 - 68
2026-02-04 vs Thiel L 73 - 74
2026-02-07 @ Waynesburg L 82 - 84

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%
Collin Jones - 22 25.9 12.2 3.5 1.6 0.8 0.3 2.1 9.9 6.3 -33 -1.6 -8.2 47.2 34.4 73.7 -1.19 55.3 52.1
DJ Niles - 20 21.9 9.1 6.2 1.0 0.6 1.8 1.0 6.3 11.2 -30 -1.7 -9.3 59.8 23.5 83.3 -1.45 64.6 61.4
Brock Makrancy - 21 26.7 8.0 2.8 1.3 0.4 0.1 1.1 6.0 5.7 -46 -2.3 -12.2 48.0 50.0 92.9 -0.88 64.4 62.4
Drovinsky Ulysse - 22 22.9 7.3 4.2 1.7 1.1 1.2 1.4 6.0 8.0 -67 -3.4 -20.4 45.5 26.8 70.7 -0.22 53.3 49.6
Avery Scott - 10 17.8 6.7 2.9 0.8 0.6 0.3 1.6 7.2 2.5 -17 -1.9 -22.1 38.9 27.0 25.0 -0.57 45.4 45.8
Josh Martin - 15 24.1 6.3 2.9 2.4 0.7 0.0 1.4 6.1 4.8 -18 -1.3 -4.7 35.9 30.6 93.3 -2.48 48.2 44.0
Dushawn Hill - 20 13.7 6.2 1.6 1.6 0.3 0.1 1.1 5.5 3.2 27 1.5 20.6 43.6 33.3 51.7 -0.36 50.9 50.0
Manuel Devora Violan - 22 14.4 5.5 2.2 1.0 1.0 0.3 1.3 3.9 4.8 -10 -0.5 -4.7 52.9 40.0 56.9 -0.36 56.3 54.1
Jack Agema - 21 16.3 4.8 1.4 1.8 0.6 0.0 1.1 5.2 2.3 -34 -1.8 -23.1 34.5 25.9 84.6 -2.19 43.6 40.9
Liam Gopalakrishna - 22 11.9 4.7 1.2 0.4 0.3 0.0 0.4 4.0 2.3 -38 -1.9 -29.1 44.9 38.6 33.3 -1.79 57.0 57.3
Mitchell Wiechecki - 15 12.7 3.8 2.4 0.7 0.3 0.1 1.1 3.3 3.0 -22 -1.5 -15.3 42.9 0.0 65.2 0.41 48.2 42.9
Noah Adams - 1 12.0 2.0 3.0 1.0 0.0 0.0 1.0 2.0 3.0 -22 -5.5 -84.2 50.0 0.0 0 -0.95 50.0 50.0
Kyle Heaton - 20 12.3 1.8 1.6 0.6 0.2 0.3 0.6 1.4 2.4 -7 -0.4 -4.9 51.7 16.7 40.0 -0.14 52.4 53.4
Daniel Sensius - 7 2.6 1.6 0.1 0.0 0.1 0.0 0.1 0.9 0.9 -16 -2.7 -853.3 66.7 60.0 0.0 -0.01 85.4 91.7
Tristan Martin-Marshall - 15 7.6 1.3 1.5 0.2 0.3 0.7 0.7 1.2 2.1 -33 -2.5 -112.5 55.6 0 0 0.56 55.6 55.6
Tillman Brown - 2 2.0 1.0 0.0 0.0 0.0 0.0 0.5 0.0 0.5 - - - 0 0 100.0 - 113.6 0
Harrison Parkhurst - 7 1.5 0.4 0.1 0.0 0.0 0.0 0.0 0.3 0.3 -5 -1.0 -266.7 50.0 100.0 0 -0.01 75.0 75.0
Ethan Valencia - 4 0.9 0.0 0.2 0.0 0.0 0.0 0.5 0.0 -0.2 -1 -0.3 -53.3 0 0 0 -0.01 0 0
Blake Kahnell - 2 1.0 0.0 0.0 0.0 0.0 0.5 0.0 0.0 0.5 - - - 0 0 0 - 0 0
Aaron Pattee - 1 2.0 0.0 1.0 0.0 0.0 0.0 0.0 2.0 -1.0 - - - 0.0 0.0 0 - 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