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Illinois Tech Scarlet Hawks

Also known as: Illinois Tech
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 → 891 (#543) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 876 (#523) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 818 (#743) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -14.0 (#301) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → -22.9 (#710) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.115 (#726) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +13.1 More → 0.820 (#20) NetEff +13.1
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -20.7 More → 0.084 (#659) AdjNet -20.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -20.7 More → 0.082 (#659) AdjNet -20.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 65.9 | AdjD 81.1 More → 0.202 (#657) AdjO 65.9 | AdjD 81.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 65.2 | AdjD 80.9 More → 0.193 (#744) AdjO 65.2 | AdjD 80.9
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 → 0.122 (#729) 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 → 0.126 (#732) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 92 | GP 24 More → 728 (#609) RD 92 | GP 24

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-06 @ Indiana St. L 73 - 104
2025-11-12 vs Trine L 66 - 86
2025-11-15 vs Rose-Hulman L 72 - 73
2025-11-19 vs Lake Forest L 74 - 87
2025-12-03 @ Lakeland W 92 - 77
2025-12-06 @ Aurora L 77 - 103
2025-12-10 vs Rockford W 69 - 63
2025-12-13 vs Kalamazoo W 91 - 83
2025-12-15 vs Albion W 73 - 64
2025-12-17 vs St. Norbert L 53 - 63
2025-12-20 vs Catholic L 48 - 84
2025-12-21 @ Johns Hopkins L 50 - 75
2025-12-29 @ UIC L 64 - 102
2026-01-03 vs MSOE L 69 - 86
2026-01-07 vs Aurora L 66 - 85
2026-01-10 @ St. Norbert L 52 - 82
2026-01-14 @ Concordia Chicago W 79 - 77
2026-01-17 vs Edgewood L 73 - 74
2026-01-21 @ Benedictine (IL) L 49 - 68
2026-01-24 @ Marian (WI) L 52 - 79
2026-01-28 vs Lakeland L 103 - 107
2026-01-31 vs Wis. Lutheran L 68 - 83
2026-02-04 vs Dominican (IL) W 74 - 64
2026-02-07 @ MSOE L 75 - 87

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%
Garrison Carter - 24 30.8 15.8 5.4 1.2 1.1 0.4 1.9 13.0 9.0 -85 -3.9 -19.0 41.5 32.9 83.5 1.77 54.1 49.2
John Davis III - 23 30.1 12.7 2.7 2.2 1.3 0.2 2.5 9.6 7.0 -188 -8.5 -43.4 47.1 26.9 80.5 -3.61 56.3 50.2
Nicolas Ortiz - 23 28.6 10.9 4.0 2.0 1.3 0.0 1.7 8.5 8.0 -78 -3.7 -17.8 42.1 27.8 87.0 -1.75 54.8 47.2
Bryce Shoto - 20 23.3 8.1 2.6 2.0 0.8 0.1 2.4 6.2 5.0 -13 -0.7 -15.5 50.4 13.3 54.1 -1.02 53.0 51.2
Isaiah Dudley - 23 22.1 7.7 5.7 1.0 0.7 0.3 1.8 5.6 8.0 -78 -3.7 -20.9 48.1 40.0 66.2 -0.73 54.3 48.8
Nick Galati - 19 18.4 6.4 1.5 0.5 0.5 0.2 0.8 4.9 3.3 -1 -0.1 -0.3 41.9 31.8 81.5 0.53 57.7 53.2
Obrad Kuzmanovic - 21 21.3 4.0 3.0 0.6 0.4 0.1 1.8 4.0 2.3 -3 -0.2 -1.3 36.5 18.2 58.6 -1.99 42.5 38.8
Omar Salman - 22 11.6 3.8 0.9 0.2 0.4 0.0 0.6 3.3 1.4 -13 -0.7 -10.7 38.9 40.5 91.7 -0.09 54.3 50.7
Owen Walsh - 13 16.1 3.5 1.4 0.2 0.7 0.2 1.2 3.0 1.8 -9 -0.8 -11.7 46.2 18.8 53.8 0.37 51.4 50.0
Igor Filipovic - 8 14.5 3.2 3.9 0.8 0.5 0.0 0.9 2.4 5.1 -7 -1.0 -6.6 36.8 20.0 71.4 -0.25 51.7 42.1
James Pilapil - 14 5.9 1.9 0.4 0.1 0.1 0.0 0.4 1.5 0.6 -6 -0.5 -5.2 33.3 33.3 64.3 1.9 47.9 40.5
Jason Pilapil - 20 7.9 0.5 0.7 0.1 0.2 0.1 0.2 0.9 0.3 -13 -0.7 -16.9 15.8 0.0 33.3 -0.01 19.6 15.8
Kalel Maxey - 13 4.4 0.3 0.8 0.0 0.1 0.1 0.1 0.3 0.9 25 2.3 198.0 25.0 0.0 100.0 0.83 41.0 25.0
Zachary Yujnovich - 15 4.4 0.2 0.9 0.1 0.0 0.0 0.5 0.3 0.5 -17 -1.3 -103.3 25.0 0.0 50.0 -0.66 30.7 25.0
Alexander Baeck - 9 1.9 0.0 0.3 0.0 0.0 0.0 0.3 0.2 -0.2 10 1.4 171.4 0.0 0.0 0 0.42 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