Heidelberg
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 → | 907 (#399) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 715 (#573) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 748 (#712) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -21.0 (#360) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -22.4 (#628) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.021 (#696) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.005 (#565) | NetEff -37.1 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.060 (#584) | AdjNet -23.8 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.053 (#588) | AdjNet -24.1 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.184 (#604) | AdjO 57.8 | AdjD 74.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.143 (#689) | AdjO 52.2 | AdjD 72.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.068 (#680) | 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 → | 0.073 (#684) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 660 (#551) | RD 119 | GP 20 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-08 | @ | Albion | L | 32 - 98 |
| 2025-11-11 | @ | Kenyon | L | 71 - 79 |
| 2025-11-19 | vs | Wooster | L | 47 - 85 |
| 2025-11-22 | @ | Ohio Wesleyan | L | 48 - 86 |
| 2025-11-25 | vs | Bluffton | L | 52 - 81 |
| 2025-11-30 | vs | Earlham | W | 84 - 50 |
| 2025-12-03 | @ | Akron | L | 34 - 117 |
| 2025-12-13 | @ | Otterbein | L | 40 - 92 |
| 2025-12-17 | @ | Bethany (WV) | L | 56 - 82 |
| 2025-12-20 | vs | Muskingum | L | 0 - 0 |
| 2026-01-10 | vs | Marietta | L | 46 - 84 |
| 2026-01-14 | @ | Baldwin Wallace | L | 38 - 92 |
| 2026-01-17 | @ | Capital | L | 51 - 58 |
| 2026-01-21 | @ | Mount Union | L | 45 - 82 |
| 2026-01-24 | vs | Wilmington (OH) | L | 60 - 66 |
| 2026-01-28 | @ | Ohio Northern | L | 66 - 80 |
| 2026-01-31 | @ | Muskingum | L | 65 - 88 |
| 2026-02-07 | vs | Otterbein | L | 26 - 59 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Tori See | - | 18 | 30.3 | 11.5 | 7.2 | 0.9 | 0.9 | 0.7 | 4.8 | 10.6 | 6.0 | -177 | -9.3 | -36.4 | 41.1 | 41.7 | 66.7 | -4.79 | 47.0 | 42.4 |
| Mya Jones | - | 18 | 19.4 | 9.9 | 6.9 | 0.4 | 1.2 | 1.1 | 1.9 | 8.2 | 9.4 | -87 | -4.6 | -34.5 | 44.6 | 0.0 | 63.0 | -0.5 | 49.4 | 44.6 |
| Brenna Williams | - | 18 | 12.1 | 7.4 | 3.6 | 0.2 | 0.6 | 0.1 | 1.2 | 6.1 | 4.6 | -66 | -3.5 | -53.6 | 47.7 | 0 | 81.1 | -0.66 | 53.5 | 47.7 |
| Malia Mizeres | - | 18 | 29.5 | 6.8 | 5.6 | 2.2 | 1.5 | 0.4 | 3.9 | 9.3 | 3.2 | -151 | -7.9 | -34.3 | 20.8 | 18.6 | 70.2 | 0.54 | 32.3 | 26.5 |
| Emma Crow | - | 6 | 17.0 | 6.5 | 2.2 | 0.8 | 0.7 | 0.0 | 1.8 | 7.7 | 0.7 | -18 | -3.0 | -10.4 | 30.4 | 40.9 | 50.0 | -2.02 | 40.8 | 40.2 |
| Navia Smith | - | 2 | 17.6 | 5.5 | 4.0 | 0.5 | 1.0 | 0.0 | 4.5 | 8.0 | -1.5 | -20 | -10.0 | -16.5 | 25.0 | 0.0 | 60.0 | -0.6 | 30.2 | 25.0 |
| Hannah Hunt | - | 18 | 27.2 | 3.8 | 3.3 | 1.6 | 0.6 | 0.7 | 2.9 | 4.6 | 2.4 | -158 | -9.3 | -37.4 | 25.3 | 20.6 | 71.4 | -5.01 | 36.2 | 29.5 |
| Mariah Bonham | - | 6 | 14.6 | 3.8 | 1.5 | 1.0 | 0.5 | 0.0 | 1.5 | 6.0 | -0.7 | -12 | -2.4 | -16.4 | 19.4 | 28.0 | 50.0 | -1.46 | 30.5 | 29.2 |
| Abby Tier | - | 10 | 22.9 | 3.7 | 2.1 | 1.9 | 0.6 | 0.0 | 2.1 | 4.0 | 2.2 | -89 | -7.4 | -33.6 | 30.0 | 40.9 | 40.0 | -0.21 | 41.7 | 41.2 |
| Evie Burke | - | 11 | 23.3 | 3.5 | 1.8 | 1.6 | 0.3 | 0.0 | 2.9 | 4.8 | -0.5 | -152 | -11.7 | -67.2 | 24.5 | 30.8 | 41.7 | -0.95 | 33.5 | 32.1 |
| Olivia Nolting | - | 16 | 28.9 | 3.2 | 1.6 | 1.3 | 0.8 | 0.2 | 4.0 | 5.1 | -1.9 | -85 | -5.0 | -22.7 | 23.2 | 11.5 | 61.1 | -2.89 | 28.9 | 25.0 |
| Priya Mericle | - | 15 | 16.6 | 1.3 | 1.5 | 0.7 | 0.3 | 0.2 | 2.2 | 2.1 | -0.3 | -54 | -3.6 | -37.2 | 9.4 | 14.3 | 60.0 | -4.63 | 23.3 | 10.9 |
| Riley DaRe | - | 7 | 5.8 | 0.4 | 0.9 | 0.1 | 0.1 | 0.0 | 0.4 | 0.6 | 0.6 | -12 | -1.5 | -120.0 | 25.0 | 0 | 50.0 | 0.22 | 30.7 | 25.0 |
| Maciaha Irving | - | 1 | 0.0 | 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