Augsburg
Model Outputs
2025-2026
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 → | 887 (#420) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 920 (#439) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 802 (#687) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -6.9 (#263) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -14.1 (#544) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.071 (#650) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.083 (#494) | NetEff -18.2 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.211 (#487) | AdjNet -11.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.207 (#482) | AdjNet -11.4 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.331 (#485) | AdjO 58.2 | AdjD 66.0 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.258 (#631) | AdjO 59.1 | AdjD 70.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.189 (#605) | 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. More → | 0.189 (#612) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 801 (#484) | RD 101 | GP 21 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-13 | vs | Martin Luther | W | 69 - 48 |
| 2025-11-15 | @ | Bethany Lutheran | L | 52 - 72 |
| 2025-11-18 | vs | Northwestern-St. Paul | W | 70 - 60 |
| 2025-11-25 | vs | Crown (MN) | W | 68 - 67 |
| 2025-12-03 | @ | St. Scholastica | L | 48 - 68 |
| 2025-12-10 | @ | Bethel (MN) | L | 44 - 84 |
| 2025-12-13 | @ | Wis.-Stout | L | 57 - 79 |
| 2025-12-29 | vs | Wis.-Whitewater | L | 51 - 89 |
| 2026-01-10 | vs | Macalester | W | 86 - 71 |
| 2026-01-14 | @ | Saint Mary's (MN) | L | 40 - 89 |
| 2026-01-17 | @ | Concordia-M'head | L | 55 - 89 |
| 2026-01-21 | @ | Hamline | L | 55 - 75 |
| 2026-01-24 | vs | Gustavus Adolphus | L | 50 - 79 |
| 2026-01-28 | vs | St. Scholastica | L | 50 - 63 |
| 2026-01-31 | @ | Carleton | L | 72 - 74 |
| 2026-02-04 | vs | Hamline | L | 44 - 64 |
| 2026-02-07 | @ | St. Catherine | L | 60 - 73 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Wakinyela Bear | - | 14 | 27.6 | 10.8 | 3.4 | 1.6 | 0.9 | 0.3 | 1.9 | 9.4 | 5.6 | -128 | -7.1 | -50.4 | 35.6 | 27.9 | 79.2 | 1.11 | 49.3 | 42.8 |
| Saylor Gallagher | - | 17 | 31.7 | 9.8 | 4.6 | 1.9 | 1.5 | 0.4 | 2.6 | 10.2 | 5.5 | -119 | -5.7 | -32.5 | 32.4 | 30.9 | 72.5 | -1.2 | 43.5 | 39.6 |
| Sydney Hazuga | - | 17 | 22.8 | 9.3 | 2.3 | 0.8 | 1.3 | 0.2 | 1.4 | 9.1 | 3.4 | -83 | -4.2 | -30.3 | 34.2 | 34.7 | 81.0 | -1.48 | 48.1 | 45.5 |
| Lani Fonoti | - | 14 | 21.0 | 8.4 | 2.4 | 0.6 | 0.4 | 1.2 | 2.6 | 7.5 | 2.9 | -144 | -8.0 | -69.6 | 38.1 | 38.6 | 83.3 | -2.58 | 50.6 | 46.2 |
| Amira LaDuke | - | 6 | 21.2 | 7.7 | 3.2 | 1.3 | 0.8 | 0.7 | 2.5 | 5.8 | 5.3 | - | - | - | 51.4 | 62.5 | 71.4 | - | 60.4 | 58.6 |
| Jada Stanford | - | 16 | 20.8 | 5.8 | 4.5 | 0.8 | 0.4 | 0.2 | 2.4 | 5.8 | 3.5 | -168 | -8.4 | -70.5 | 41.9 | 0.0 | 50.0 | -2.75 | 43.7 | 41.9 |
| Tyliah Frazier | - | 17 | 21.1 | 5.2 | 2.0 | 2.8 | 1.4 | 0.4 | 3.7 | 6.2 | 1.8 | -87 | -4.3 | -30.6 | 30.5 | 21.1 | 64.5 | -2.42 | 37.1 | 32.4 |
| Leilani Fonoti | - | 1 | 8.5 | 4.0 | 0.0 | 2.0 | 1.0 | 1.0 | 0.0 | 3.0 | 5.0 | -144 | -8.0 | -69.6 | 33.3 | 0.0 | 100.0 | -2.58 | 51.5 | 33.3 |
| Melanie Delestrez | - | 17 | 23.2 | 3.8 | 6.6 | 0.6 | 0.6 | 0.1 | 1.5 | 3.2 | 6.9 | -132 | -6.3 | -52.2 | 50.9 | 0.0 | 57.1 | -0.64 | 52.3 | 50.9 |
| Evelyn Perkins | - | 8 | 18.9 | 2.9 | 1.1 | 1.9 | 1.0 | 0.0 | 3.1 | 3.0 | 0.8 | -18 | -2.2 | -26.6 | 25.0 | 33.3 | 66.7 | -1.77 | 39.3 | 31.2 |
| Maecee Alexander | - | 10 | 9.2 | 1.6 | 1.6 | 0.2 | 0.0 | 0.0 | 0.5 | 2.2 | 0.7 | -22 | -1.7 | -24.1 | 27.3 | 25.0 | 50.0 | -0.04 | 35.0 | 34.1 |
| Kaylee Buerman | - | 16 | 8.9 | 1.2 | 0.8 | 0.3 | 0.4 | 0.1 | 0.4 | 1.5 | 0.9 | 6 | 0.3 | 4.7 | 33.3 | 18.2 | 50.0 | 0.86 | 38.8 | 37.5 |
| Alexiah LaRose | - | 11 | 4.8 | 1.0 | 0.9 | 0.4 | 0.3 | 0.0 | 0.4 | 1.2 | 1.0 | -30 | -2.3 | -58.1 | 38.5 | 0.0 | 20.0 | 1.04 | 36.2 | 38.5 |
| LaiLoni Harris | - | 17 | 7.1 | 0.9 | 0.9 | 0.4 | 0.2 | 0.1 | 0.7 | 1.1 | 0.6 | -16 | -0.8 | -19.3 | 31.6 | 33.3 | 33.3 | -1.08 | 34.7 | 34.2 |
| Macaria Person | - | 9 | 2.4 | 0.0 | 0.3 | 0.1 | 0.1 | 0.0 | 0.2 | 0.6 | -0.2 | -4 | -0.4 | -71.1 | 0.0 | 0.0 | 0 | 0.78 | 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