Concordia Wisconsin
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 → | 929 (#366) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 846 (#511) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 994 (#474) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -0.4 (#197) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -2.6 (#403) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.340 (#523) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 1.000 (#22) | NetEff +89.1 |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.083 (#495) | NetEff -17.6 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.308 (#447) | AdjNet -7.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.293 (#449) | AdjNet -7.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.406 (#431) | AdjO 56.1 | AdjD 60.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.559 (#295) | AdjO 54.1 | AdjD 51.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.476 (#399) | 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 → | 0.494 (#392) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 975 (#350) | RD 141 | GP 6 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2026-01-21 | vs | Dominican (IL) | W | 65 - 45 |
| 2026-01-24 | @ | Edgewood | W | 55 - 49 |
| 2026-01-28 | @ | Concordia Chicago | L | 48 - 68 |
| 2026-01-31 | vs | MSOE | L | 42 - 52 |
| 2026-02-04 | @ | Rockford | W | 80 - 24 |
| 2026-02-07 | @ | St. Norbert | L | 42 - 53 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Isabela Gunderson | - | 6 | 22.4 | 12.0 | 4.5 | 0.3 | 1.0 | 0.3 | 2.3 | 10.3 | 5.5 | -43 | -2.1 | -15.3 | 37.1 | 33.3 | 75.0 | -1.11 | 49.6 | 43.5 |
| Addison Pertell | - | 1 | 8.7 | 12.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5.0 | 9.0 | 4 | 2.0 | 18.4 | 100.0 | 100.0 | 0 | 1.01 | 120.0 | 120.0 |
| Kristin Wentling | - | 6 | 28.3 | 10.7 | 4.2 | 1.5 | 0.8 | 0.5 | 1.3 | 8.3 | 8.0 | -20 | -1.2 | -6.1 | 46.0 | 36.4 | 77.8 | 0.01 | 55.2 | 50.0 |
| Andrea Butterbrodt | - | 6 | 23.8 | 7.7 | 5.7 | 1.5 | 0.3 | 0.3 | 2.7 | 7.2 | 5.7 | -53 | -2.6 | -20.0 | 39.5 | 25.0 | 91.7 | -1.71 | 47.6 | 40.7 |
| Gracie McNabb | - | 6 | 25.4 | 6.5 | 2.5 | 1.3 | 1.5 | 0.5 | 1.0 | 6.7 | 4.7 | -48 | -2.4 | -14.9 | 32.5 | 27.6 | 50.0 | 1.24 | 43.9 | 42.5 |
| Amya Pluess | - | 6 | 25.6 | 4.2 | 5.2 | 2.5 | 1.5 | 0.3 | 1.5 | 5.8 | 6.3 | 32 | 1.6 | 10.3 | 31.4 | 23.1 | 0.0 | 2.61 | 34.0 | 35.7 |
| Kendall Weiler | - | 6 | 14.0 | 3.3 | 1.7 | 0.8 | 0.0 | 0.0 | 1.3 | 4.3 | 0.2 | 6 | 0.4 | 3.3 | 34.6 | 0.0 | 40.0 | 0.68 | 35.5 | 34.6 |
| Jayden Ross | - | 6 | 26.0 | 3.0 | 4.7 | 2.2 | 0.5 | 0.2 | 2.3 | 3.8 | 4.3 | 6 | 0.3 | 2.1 | 30.4 | 0 | 50.0 | -1.67 | 33.9 | 30.4 |
| Alexa Schwartz | - | 6 | 13.9 | 2.5 | 3.2 | 0.3 | 1.3 | 0.2 | 1.5 | 2.8 | 3.2 | -17 | -0.8 | -11.4 | 41.2 | 25.0 | 0 | -1.85 | 44.1 | 44.1 |
| Blayne Gacke | - | 3 | 4.6 | 1.7 | 1.0 | 0.3 | 0.0 | 0.0 | 0.0 | 0.7 | 2.3 | 13 | 2.2 | 42.0 | 100.0 | 100.0 | 0 | 1.52 | 125.0 | 125.0 |
| Madalynn Becker | - | 5 | 6.4 | 1.6 | 1.4 | 0.8 | 0.2 | 0.4 | 0.6 | 1.6 | 2.2 | 7 | 0.6 | 9.6 | 50.0 | 0 | 0 | 2.03 | 50.0 | 50.0 |
| Hannah Moesch | - | 3 | 5.4 | 1.3 | 2.0 | 0.3 | 0.3 | 0.3 | 0.0 | 2.3 | 2.0 | -3 | -0.6 | -8.0 | 28.6 | 0.0 | 0 | 0.0 | 28.6 | 28.6 |
| Darya Gunderman | - | 3 | 3.7 | 0.7 | 0.7 | 0.3 | 0.7 | 0.0 | 0.0 | 1.7 | 0.7 | -1 | -0.1 | -3.7 | 20.0 | 0 | 0 | 0.93 | 20.0 | 20.0 |
| Alyana Feekes | - | 4 | 8.9 | 0.5 | 1.0 | 0.8 | 0.5 | 0.0 | 0.2 | 0.8 | 1.8 | 0 | 0.0 | 0.0 | 33.3 | 0.0 | 0 | 0.85 | 33.3 | 33.3 |
| Payton Cordova | - | 2 | 3.2 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | -2 | -0.5 | -12.6 | 0 | 0 | 0 | 0.36 | 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