🐻⬇️🏀

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 → 1077 (#108) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1181 (#54) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 1026 (#208) HCA +75 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More → +15.8 (#68) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → +7.8 (#239) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.518 (#354) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +3.0 More → 0.591 (#249) NetEff +3.0
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +19.5 More → 0.904 (#200) AdjNet +19.5
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +20.0 More → 0.914 (#200) AdjNet +20.0
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 71.4 | AdjD 58.0 More → 0.772 (#194) AdjO 71.4 | AdjD 58.0
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 65.7 | AdjD 62.5 More → 0.573 (#209) AdjO 65.7 | AdjD 62.5
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 → 0.732 (#149) 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 → 0.706 (#164) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 102 | GP 22 More → 1085 (#152) RD 102 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-14 @ Lewis - Incomplete score
2025-11-15 vs Upper Iowa - Incomplete score
2025-11-20 vs Minn. Duluth - Incomplete score
2025-11-21 vs St. Cloud St. - Incomplete score
2025-11-28 @ Concordia-St. Paul - Incomplete score
2025-11-29 @ Winona St. - Incomplete score
2025-12-04 @ Roosevelt - Incomplete score
2025-12-06 @ Wis.-Parkside - Incomplete score
2025-12-13 @ Mo.-St. Louis - Incomplete score
2025-12-19 vs Northwood - Incomplete score
2026-01-02 vs Grand Valley St. - Incomplete score
2026-01-03 vs Davenport - Incomplete score
2026-01-10 vs Ferris St. - Incomplete score
2026-01-15 @ Saginaw Valley - Incomplete score
2026-01-17 @ Lake Superior St. - Incomplete score
2026-01-22 vs Wayne St. (MI) - Incomplete score
2026-01-24 vs Purdue Northwest - Incomplete score
2026-01-29 @ Davenport - Incomplete score
2026-01-31 @ Grand Valley St. - Incomplete score
2026-02-05 vs Lake Superior St. - Incomplete score
2026-02-07 vs Saginaw Valley - Incomplete score

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%
Ella Mason - 21 28.7 14.7 3.1 1.2 0.6 0.2 1.5 11.6 6.8 43 2.0 8.4 41.2 36.2 89.4 0.3 56.8 51.4
Alyssa Wypych - 21 30.1 11.7 4.5 0.6 1.0 0.4 1.0 8.7 8.5 11 0.5 1.9 45.4 38.8 85.7 -1.95 58.4 52.5
Soraya Timms - 21 33.6 11.5 3.5 4.6 1.2 0.1 3.0 9.7 8.2 74 3.4 11.8 43.1 34.7 94.1 2.47 55.0 51.2
Janie Tormanen - 16 22.8 11.1 6.2 1.1 0.9 0.2 1.8 9.2 8.6 83 4.9 54.4 54.4 16.7 70.8 6.16 56.5 54.8
Kendall Standfest - 21 27.8 10.0 6.5 1.8 0.7 0.4 1.9 8.9 8.6 77 3.5 12.2 40.6 29.6 73.2 1.56 49.4 44.9
Dani Nuest - 21 20.2 3.7 2.0 1.6 0.9 0.1 1.6 3.9 2.9 80 3.6 21.4 38.3 31.6 50.0 2.15 46.1 45.7
Maja Kozlowska - 19 12.7 2.8 2.5 0.5 0.1 0.4 0.9 2.6 2.7 3 0.1 1.0 46.9 0 66.7 -0.46 49.7 46.9
Kaitlyn Maxwell - 21 8.1 2.8 0.4 0.3 0.1 0.0 0.3 2.1 1.3 26 1.2 17.5 45.5 45.5 81.8 0.84 60.4 56.8
Kloe Zentkowski - 21 16.8 1.9 3.0 1.7 0.5 0.4 1.0 1.8 4.7 75 3.4 20.0 32.4 20.0 77.8 2.93 44.5 35.1
Isabella Hanna - 7 9.8 0.7 1.9 0.7 0.3 0.1 0.7 1.9 1.1 14 1.8 9.4 15.4 33.3 0 1.87 19.2 19.2
Aubrey Johnson - 9 3.8 0.6 0.3 0.2 0.1 0.0 0.1 0.2 0.9 45 4.5 91.1 0.0 0.0 83.3 3.71 53.9 0.0
Brittney Mislivecek - 11 3.1 0.4 0.2 0.3 0.0 0.0 0.2 0.4 0.3 38 3.5 62.5 25.0 0.0 50.0 3.75 34.7 25.0
Brianna Anderson - 1 3.8 0.0 1.0 0.0 0.0 0.0 0.0 0.0 1.0 1 0.5 10.5 0 0 0 - 0 0
Kaisa Salani - 4 2.8 0.0 1.0 0.2 0.2 0.0 0.2 0.8 0.5 23 4.6 62.3 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