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Gustavus Adolphus

Season: 2026 2025 2024 2023 2022 2021 2020 2019 2017 2016
Also known as: Gustavus Adolphus
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 → 1322 (#3) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1319 (#9) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 1298 (#1) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → +12.5 (#12) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → +12.9 (#189) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.864 (#261) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +10.7 More → 0.773 (#245) AdjNet +10.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +10.3 More → 0.770 (#244) AdjNet +10.3
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 79.0 | AdjD 70.8 More → 0.678 (#242) AdjO 79.0 | AdjD 70.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 79.9 | AdjD 62.2 More → 0.833 (#14) AdjO 79.9 | AdjD 62.2
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 → 0.859 (#48) 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 → 0.865 (#31) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 107 | GP 22 More → 1422 (#2) RD 107 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 @ Aurora W 84 - 79
2025-11-08 vs Rockford W 96 - 49
2025-11-20 vs Whitworth L 60 - 62
2025-11-22 vs Wis.-Platteville W 87 - 72
2025-11-29 @ Central (IA) W 77 - 67
2025-12-03 vs Hamline W 70 - 65
2025-12-06 @ Saint Mary's (MN) W 90 - 54
2025-12-10 vs Saint John's (MN) W 95 - 80
2025-12-16 @ Simpson W 71 - 67
2025-12-28 @ Transylvania W 60 - 57
2025-12-29 vs Cortland W 58 - 51
2026-01-03 vs Bethel (MN) W 97 - 62
2026-01-07 @ St. Olaf W 90 - 63
2026-01-10 vs Minn.-Morris W 73 - 54
2026-01-14 @ Concordia-M'head W 82 - 77
2026-01-17 vs Macalester W 95 - 62
2026-01-21 @ St. Scholastica W 92 - 56
2026-01-24 @ Augsburg W 101 - 88
2026-01-28 @ Hamline W 72 - 51
2026-01-31 vs Concordia-M'head W 70 - 60
2026-02-04 @ Saint John's (MN) W 72 - 61
2026-02-07 @ Macalester W 91 - 58

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%
Myles Barnette - 21 30.7 18.2 4.0 3.9 2.7 0.7 1.4 12.2 15.9 263 12.5 53.5 58.0 0.0 79.2 3.9 62.9 58.0
Jake Schmitt - 21 28.8 16.5 3.7 2.0 1.5 0.0 1.5 12.7 9.6 252 12.0 52.6 41.9 39.2 85.7 3.48 58.9 54.9
Andrew Quam - 20 23.0 11.1 3.6 2.1 0.9 0.1 0.9 9.5 7.5 108 5.4 29.8 45.8 35.4 61.3 0.38 54.5 53.4
Eli Wolff - 22 23.7 9.4 3.2 1.2 0.8 0.0 0.8 7.5 6.3 170 7.7 46.1 40.6 41.2 79.2 -0.75 59.0 57.0
Carson Koch - 16 25.1 6.3 6.4 0.8 1.5 0.4 0.9 4.6 9.8 188 11.1 45.9 44.6 35.9 65.6 -0.05 57.3 54.1
Obinna Izuora - 21 15.7 6.2 2.7 0.9 0.7 0.1 0.7 4.5 5.4 122 5.8 41.9 54.7 61.9 66.7 -0.34 62.8 61.6
Connor Beauchamp - 22 14.3 5.7 4.6 0.5 0.6 0.0 0.1 5.0 6.4 134 6.1 52.4 43.6 34.1 65.2 1.49 52.4 50.5
Max Buslee - 21 13.2 4.3 1.2 0.6 0.4 0.0 0.3 3.7 2.6 62 3.0 30.6 37.7 40.0 80.0 0.18 55.3 53.2
Isaac Matti - 20 16.7 2.5 2.6 0.8 0.5 0.1 0.4 2.9 3.2 100 5.0 54.2 35.1 35.7 33.3 0.08 39.3 39.5
William Strandemo - 11 6.0 2.5 0.3 0.4 0.3 0.0 0.4 2.5 0.5 -5 -0.5 -13.1 42.9 44.4 0 -1.03 50.0 50.0
Drew Kolander - 14 6.1 1.7 0.9 0.6 0.2 0.1 0.1 1.6 1.8 34 2.4 189.3 47.8 12.5 14.3 0.92 46.0 50.0
John Mueller - 6 11.4 1.7 0.8 0.3 0.3 0.2 0.3 2.2 0.8 18 3.0 106.4 38.5 0.0 0 0.02 38.5 38.5
Isaac Dearborn - 13 9.0 1.6 1.4 0.2 0.3 0.0 0.5 1.6 1.5 21 1.6 69.2 38.1 33.3 100.0 -0.03 47.0 42.9
Eli Ehrke - 15 9.0 1.5 1.3 0.3 0.4 0.0 0.3 1.7 1.5 6 0.4 8.8 30.8 25.0 100.0 -0.03 41.4 36.5
Tate Olson - 5 1.4 1.0 0.2 0.0 0.0 0.0 0.0 0.8 0.4 -10 -2.5 -201.7 50.0 33.3 0 0.02 62.5 62.5
Andrew Olson - 9 4.0 0.8 0.8 0.4 0.0 0.0 0.1 0.8 1.1 0 0.0 0.0 42.9 33.3 0 0.09 50.0 50.0
Jevan Wilfahrt - 6 2.6 0.7 1.0 0.3 0.0 0.0 0.2 0.7 1.2 -13 -2.2 -104.3 25.0 0.0 66.7 -0.25 37.6 25.0
Ibrahim Ali - 4 1.9 0.5 0.2 0.5 0.0 0.0 0.2 0.2 0.8 -3 -1.0 -34.6 100.0 0 0 0.06 100.0 100.0
Emmett Olson - 5 2.4 0.4 0.2 0.0 0.2 0.0 0.0 0.4 0.4 -10 -2.5 -90.9 50.0 0.0 0 0.08 50.0 50.0
Hudson Greene - 4 1.9 0.2 0.2 0.0 0.0 0.2 0.2 0.0 0.5 -8 -2.7 -161.3 0 0 50.0 0.02 56.8 0
Mitchell Friesz - 2 0.8 0.0 0.5 0.0 0.0 0.0 0.0 0.5 0.0 - - - 0.0 0.0 0 - 0.0 0.0
Devin Pass - 2 2.2 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

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