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Michigan Tech

Also known as: Michigan 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 โ†’ 1326 (#16) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1355 (#8) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More โ†’ 1183 (#18) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.7 More โ†’ +18.1 (#26) HCA +2.7
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More โ†’ +18.7 (#67) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.813 (#17) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +35.1 More โ†’ 0.979 (#116) NetEff +35.1
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +25.8 More โ†’ 0.952 (#10) AdjNet +25.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +26.0 More โ†’ 0.954 (#8) AdjNet +26.0
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 83.5 | AdjD 64.4 More โ†’ 0.850 (#10) AdjO 83.5 | AdjD 64.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 77.0 | AdjD 62.4 More โ†’ 0.791 (#23) AdjO 77.0 | AdjD 62.4
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 โ†’ 0.885 (#16) 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 โ†’ 0.877 (#16) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 99 | GP 24 More โ†’ 1311 (#12) RD 99 | GP 24

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-01 vs DBU W 75 - 70
2025-11-02 vs Lenoir-Rhyne W 66 - 65
2025-11-14 vs Mo.-St. Louis L 57 - 78
2025-11-15 vs Maryville (MO) W 72 - 61
2025-11-21 @ Minn. Duluth W 57 - 48
2025-11-22 vs St. Cloud St. W 63 - 59
2025-11-29 vs Lakeland W 92 - 56
2025-12-04 @ Roosevelt W 73 - 55
2025-12-06 @ Wis.-Parkside W 69 - 54
2025-12-13 vs Wis.-Stout W 79 - 41
2025-12-19 @ Florida Tech W 64 - 52
2025-12-20 vs Lynn W 105 - 67
2026-01-02 vs Grand Valley St. L 75 - 79
2026-01-03 vs Davenport W 77 - 68
2026-01-08 vs Northern Mich. W 84 - 75
2026-01-10 vs Ferris St. W 81 - 72
2026-01-15 @ Saginaw Valley W 80 - 78
2026-01-17 @ Lake Superior St. W 84 - 83
2026-01-22 vs Wayne St. (MI) - Incomplete score
2026-01-24 vs Purdue Northwest - Incomplete score
2026-01-29 @ Davenport L 69 - 72
2026-01-31 @ Grand Valley St. L 46 - 55
2026-02-05 vs Lake Superior St. - Incomplete score
2026-02-07 vs Saginaw Valley W 62 - 52
2026-02-12 @ Purdue Northwest W 63 - 61
2026-02-14 @ Wayne St. (MI) W 77 - 73
2026-02-19 @ Northern Mich. L 64 - 70
2026-02-23 @ Ferris St. W 79 - 68
2026-02-26 vs Wis.-Parkside W 68 - 65
2026-02-28 vs Roosevelt W 99 - 72
2026-03-04 vs Davenport W 72 - 70
2026-03-07 vs Grand Valley St. L 70 - 82
2026-03-14 vs Lake Erie W 83 - 73
2026-03-15 @ Grand Valley St. W 69 - 67
2026-03-17 @ Walsh W 87 - 70
2026-03-25 vs Gannon L 49 - 75

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 GP PM/G PM/40 FG% 3P% FT% RAPM TS% eFG%
Marcus Tomashek - 33 30.8 21.2 4.0 2.7 0.7 0.2 2.8 17.4 8.7 - - - - 38.4 35.5 78.3 - 53.1 47.6
Dawson Nordgaard - 34 21.2 9.4 3.6 1.1 0.6 0.9 1.6 5.5 8.5 - - - - 63.8 0.0 69.9 - 67.1 63.8
Gabe Smith - 34 27.0 7.9 6.7 1.5 1.8 0.5 1.4 6.3 10.7 - - - - 48.4 24.2 48.2 - 51.1 50.2
Ty Fernholz - 34 19.0 7.9 1.3 1.1 0.3 0.0 1.0 7.6 2.0 - - - - 34.6 32.4 77.3 - 50.2 48.8
Jesse Napgezek - 33 16.5 7.6 3.3 0.8 0.5 0.7 0.8 4.7 7.3 - - - - 48.1 22.9 70.1 - 58.6 50.6
Nate Abel - 34 28.9 6.4 6.9 2.4 1.2 0.1 1.6 4.7 10.5 - - - - 42.9 43.8 75.4 - 58.0 53.7
Josh Terrian - 34 25.2 4.4 3.7 2.0 0.9 0.1 0.6 3.4 7.1 - - - - 40.9 39.1 73.3 - 60.9 59.6
Matt Schmainda - 34 15.3 3.9 2.4 0.6 0.6 0.0 0.8 3.8 2.7 - - - - 38.0 31.2 69.2 - 48.6 47.3
Grant Warren - 34 11.4 3.1 2.3 0.6 0.1 0.8 0.2 2.6 4.2 - - - - 48.3 23.1 85.0 - 55.8 51.7
Drew Barrie - 24 3.5 1.5 0.6 0.0 0.0 0.0 0.2 1.2 0.6 - - - - 40.0 38.9 66.7 - 53.6 51.7
Peyton LaCombe - 12 2.5 1.2 0.4 0.0 0.0 0.2 0.3 0.8 0.7 - - - - 55.6 66.7 100.0 - 70.9 66.7
Layne Risdon - 13 2.4 0.8 0.5 0.3 0.2 0.0 0.5 0.7 0.7 - - - - 44.4 40.0 0.0 - 50.6 55.6
Alex Calcaterra - 18 2.0 0.5 0.3 0.1 0.1 0.0 0.2 0.4 0.3 - - - - 42.9 50.0 50.0 - 57.1 57.1
Luke Hazelton - 16 1.6 0.2 0.5 0.2 0.1 0.1 0.2 0.4 0.6 - - - - 33.3 0.0 0 - 33.3 33.3
Ethan Heck - 11 1.5 0.2 0.1 0.0 0.0 0.0 0.0 0.5 -0.3 - - - - 16.7 0.0 0 - 16.7 16.7
Connor Cameron - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - - 0 0 0 - 0 0
Jacob MacPhee - 2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - - 0 0 0 - 0 0
Justin Bliesner - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - - 0 0 0 - 0 0

Numbers/Game vs RAPM

Not enough players with both Numbers/Game and RAPM to plot.

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