🐻⬇️🏀

Augsburg

Also known as: Augsburg
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 → 1126 (#76) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1128 (#96) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 1005 (#411) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -0.9 (#131) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → -3.8 (#410) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.376 (#546) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -10.7 More → 0.226 (#514) AdjNet -10.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -11.0 More → 0.217 (#515) AdjNet -11.0
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 72.8 | AdjD 80.6 More → 0.329 (#501) AdjO 72.8 | AdjD 80.6
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 78.3 | AdjD 76.1 More → 0.550 (#296) AdjO 78.3 | AdjD 76.1
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 → 0.487 (#410) 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 → 0.496 (#408) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 104 | GP 21 More → 1071 (#261) RD 104 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 @ Martin Luther W 91 - 89
2025-11-14 vs Simpson W 80 - 69
2025-11-15 vs Central (IA) L 73 - 81
2025-11-18 vs Marian (WI) W 70 - 66
2025-11-21 @ Minn.-Morris W 78 - 73
2025-12-03 vs St. Scholastica W 82 - 60
2025-12-05 @ Wis.-Stout W 81 - 77
2025-12-08 @ St. Olaf W 101 - 77
2025-12-10 vs Bethel (MN) W 72 - 64
2025-12-19 vs Ramapo W 80 - 73
2025-12-20 @ Randolph-Macon L 49 - 85
2026-01-03 vs Saint John's (MN) L 81 - 84
2026-01-05 @ Northwestern-St. Paul W 87 - 55
2026-01-10 vs Macalester W 102 - 70
2026-01-14 vs Saint Mary's (MN) W 74 - 61
2026-01-17 @ Concordia-M'head L 73 - 87
2026-01-21 vs Hamline W 77 - 63
2026-01-24 vs Gustavus Adolphus L 88 - 101
2026-01-28 @ St. Scholastica W 95 - 70
2026-01-31 @ Carleton L 81 - 85
2026-02-04 @ Hamline L 56 - 80

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%
JJ Semanko - 21 30.5 17.7 8.6 2.4 1.3 0.5 2.0 11.4 17.1 96 4.6 19.3 49.2 36.8 78.7 1.04 61.9 55.0
Elias Batala - 21 26.0 14.5 4.3 1.7 1.1 0.8 1.4 9.4 11.6 58 2.8 12.9 49.5 22.5 73.9 -1.07 59.2 51.8
Hanif Muhammad - 21 24.6 11.7 2.8 2.2 2.7 0.2 1.3 10.8 7.5 145 6.9 36.9 41.6 31.6 75.0 1.22 49.9 46.9
Daveion Hart - 16 18.5 8.9 2.2 1.2 0.8 0.4 0.8 6.0 6.8 8 0.5 8.7 46.9 36.2 69.6 1.06 61.5 57.8
Isaac Rabaey - 21 20.9 7.2 4.7 0.9 0.5 0.3 1.4 5.7 6.5 81 3.9 26.3 58.0 0 31.7 -1.15 55.1 58.0
Trent Gomez - 17 17.2 5.2 1.3 0.5 1.1 0.1 0.5 4.3 3.4 62 3.6 24.6 43.8 38.6 100.0 -3.29 59.6 58.9
Keenan Rodriguez - 21 19.7 5.0 1.4 1.0 0.5 0.1 0.8 4.7 2.6 117 5.6 35.7 39.4 34.4 60.0 1.13 51.3 50.5
Ali Axmed - 21 19.3 4.9 2.2 1.8 1.0 0.1 0.9 3.6 5.4 131 6.2 43.0 52.0 44.2 83.3 1.98 65.7 64.7
Sam Mickelson - 11 10.5 3.5 2.5 0.4 0.4 0.2 1.1 3.0 2.9 -1 -0.1 -2.8 54.5 100.0 50.0 -0.96 56.1 56.1
Julien Hussherr - 21 15.5 3.1 1.2 1.5 0.5 0.0 0.8 2.9 2.6 -20 -1.0 -7.8 37.7 36.1 54.5 -0.81 49.4 48.4
Jankarlos Mendoza - 8 4.6 2.0 1.2 0.0 0.4 0.1 0.5 2.0 1.2 -7 -0.9 -41.5 31.2 37.5 75.0 -0.32 45.0 40.6
MacIntyre Griess - 5 2.0 1.4 0.2 0.0 0.2 0.0 0.2 0.6 1.0 3 0.8 55.0 100.0 100.0 0 -0.41 116.7 116.7
Aidan Jacobson - 8 3.8 1.1 0.0 0.1 0.0 0.0 0.2 1.1 -0.1 -10 -1.2 -90.6 33.3 37.5 0 -0.41 50.0 50.0
David Perkins - 8 3.0 1.1 0.4 0.2 0.1 0.0 0.5 1.2 0.1 -7 -0.9 -63.4 30.0 50.0 50.0 -0.41 41.4 40.0
Caleb Hadden - 10 4.7 0.9 0.8 0.3 0.2 0.4 0.1 0.9 1.6 -14 -1.6 -150.7 44.4 50.0 0.0 -0.14 45.5 50.0
Lavar Jones Jr. - 9 4.2 0.6 1.1 0.3 0.3 0.0 0.6 0.8 1.0 -14 -1.6 -126.8 14.3 25.0 100.0 -0.41 31.7 21.4
Dontae Perry - 7 2.3 0.3 0.6 0.3 0.0 0.0 0.1 0.4 0.6 4 0.7 73.3 33.3 0.0 0.0 -0.41 23.1 33.3

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