Wittenberg
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 → | 1000 (#244) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1090 (#169) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 991 (#485) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +7.7 (#113) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +6.0 (#260) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.861 (#265) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.530 (#351) | NetEff +0.9 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.922 (#194) | AdjNet +21.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.926 (#195) | AdjNet +21.3 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.764 (#194) | AdjO 70.3 | AdjD 57.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.607 (#224) | AdjO 61.5 | AdjD 56.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.610 (#291) | 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 → | 0.613 (#285) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1042 (#264) | RD 100 | GP 21 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-08 | vs | Chris. Newport | L | 66 - 80 |
| 2025-11-09 | @ | Wilmington (OH) | W | 70 - 57 |
| 2025-11-14 | vs | Allegheny | W | 71 - 59 |
| 2025-11-15 | @ | Chatham | L | 38 - 57 |
| 2025-11-25 | @ | Adrian | W | 69 - 62 |
| 2025-12-22 | @ | Capital | W | 64 - 55 |
| 2025-12-30 | vs | Marietta | L | 52 - 60 |
| 2026-01-10 | vs | Ohio Wesleyan | L | 67 - 76 |
| 2026-01-14 | vs | DePauw | L | 32 - 51 |
| 2026-01-17 | @ | Oberlin | W | 61 - 52 |
| 2026-01-21 | @ | Denison | L | 68 - 84 |
| 2026-01-24 | vs | John Carroll | L | 55 - 65 |
| 2026-01-31 | vs | Wooster | W | 64 - 53 |
| 2026-02-04 | vs | Kenyon | W | 79 - 52 |
| 2026-02-07 | @ | Ohio Wesleyan | L | 59 - 65 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Karsen Karlblom | - | 10 | 31.6 | 14.0 | 5.2 | 2.3 | 1.3 | 0.2 | 2.2 | 11.7 | 9.1 | 57 | 3.8 | 22.6 | 43.6 | 40.3 | 100.0 | 3.23 | 57.0 | 54.3 |
| Molly Mossing | - | 15 | 25.8 | 13.1 | 5.7 | 1.2 | 1.5 | 0.5 | 2.5 | 11.7 | 7.8 | -49 | -2.5 | -14.4 | 45.1 | 36.4 | 84.4 | 1.14 | 52.1 | 48.6 |
| Catherine Buddenberg | - | 7 | 20.2 | 13.0 | 4.0 | 0.6 | 1.6 | 0.3 | 2.6 | 9.7 | 7.1 | 27 | 2.5 | 16.8 | 45.6 | 35.3 | 81.0 | 0.4 | 58.9 | 54.4 |
| Karley Moore | - | 15 | 25.3 | 9.3 | 5.3 | 1.8 | 2.0 | 1.1 | 2.0 | 9.8 | 7.7 | 59 | 2.8 | 21.6 | 35.4 | 20.0 | 77.3 | 0.32 | 41.8 | 35.7 |
| Madi Barnett | - | 15 | 30.6 | 8.5 | 2.7 | 3.3 | 1.3 | 0.0 | 4.9 | 9.0 | 1.8 | 7 | 0.3 | 1.9 | 31.9 | 29.0 | 62.7 | 1.18 | 40.3 | 35.2 |
| Hope Orders | - | 15 | 20.7 | 4.7 | 2.6 | 0.8 | 1.1 | 0.1 | 1.1 | 6.1 | 2.1 | 60 | 2.9 | 29.5 | 29.3 | 27.9 | 0.0 | 1.11 | 38.2 | 38.6 |
| Cadence Boyd | - | 15 | 25.2 | 3.0 | 2.6 | 1.7 | 0.9 | 0.0 | 2.0 | 3.2 | 3.0 | 16 | 0.8 | 6.1 | 22.9 | 21.4 | 60.7 | 2.41 | 37.3 | 29.2 |
| Reagan Voigt | - | 1 | 5.0 | 3.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 | 1.0 | -2 | -1.0 | -16.0 | 50.0 | 50.0 | 0 | -0.03 | 75.0 | 75.0 |
| Myah Johnson | - | 15 | 11.4 | 2.3 | 2.3 | 0.4 | 0.4 | 0.1 | 0.6 | 1.8 | 3.1 | -4 | -0.2 | -3.6 | 51.9 | 0 | 50.0 | -0.62 | 52.8 | 51.9 |
| Maddie Griga | - | 15 | 11.2 | 1.5 | 3.0 | 0.3 | 0.1 | 0.0 | 0.3 | 1.5 | 3.0 | 16 | 0.8 | 11.4 | 39.1 | 0 | 44.4 | 1.67 | 40.8 | 39.1 |
| Faith Martin | - | 14 | 8.6 | 1.4 | 1.5 | 0.5 | 0.3 | 0.1 | 1.2 | 1.6 | 1.0 | 23 | 1.2 | 21.8 | 36.4 | 27.3 | 0 | -0.38 | 43.2 | 43.2 |
| Nyla Richardson | - | 9 | 6.2 | 1.2 | 1.2 | 0.2 | 0.0 | 0.0 | 0.6 | 1.1 | 1.0 | 9 | 0.7 | 16.2 | 40.0 | 100.0 | 33.3 | 0.01 | 43.5 | 45.0 |
| Maren Bolser | - | 4 | 5.6 | 1.0 | 1.5 | 0.0 | 0.8 | 0.2 | 0.2 | 1.0 | 2.2 | -1 | -0.1 | -2.2 | 25.0 | 0.0 | 50.0 | -0.9 | 34.7 | 25.0 |
| Makenna Strycker | - | 2 | 2.9 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.5 | 0.5 | 1.0 | -5 | -1.7 | -34.3 | 100.0 | 0 | 0 | -0.04 | 100.0 | 100.0 |
| Peyton Bethea | - | 5 | 4.1 | 0.8 | 0.4 | 0.0 | 0.2 | 0.0 | 0.0 | 0.6 | 0.8 | 12 | 2.0 | 26.6 | 33.3 | 0 | 100.0 | 2.64 | 51.5 | 33.3 |
| Lailah Hadley | - | 7 | 8.6 | 0.7 | 1.4 | 0.9 | 0.6 | 0.0 | 1.3 | 0.7 | 1.6 | -242 | -13.4 | -59.4 | 20.0 | 0.0 | 75.0 | -2.67 | 37.0 | 20.0 |
| Maddie Saleh | - | 1 | 0.8 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0 | 0.0 | 0.0 | 0 | 0 | 0 | -0.01 | 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