Meredith
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 → | 891 (#417) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 736 (#566) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 826 (#666) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -24.0 (#376) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -15.8 (#567) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.036 (#681) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.041 (#528) | NetEff -20.5 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.006 (#678) | AdjNet -43.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.005 (#677) | AdjNet -43.9 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.080 (#673) | AdjO 44.6 | AdjD 71.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.194 (#668) | AdjO 50.4 | AdjD 66.1 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.132 (#641) | 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 → | 0.137 (#645) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 716 (#531) | RD 112 | GP 19 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-09 | @ | Centre | L | 39 - 82 |
| 2025-11-15 | vs | Bob Jones | W | 53 - 45 |
| 2025-11-21 | vs | Mary Baldwin | L | 55 - 56 |
| 2025-11-22 | vs | Southern Va. | L | 51 - 74 |
| 2025-11-30 | @ | Lynchburg | L | 62 - 78 |
| 2025-12-02 | @ | Pfeiffer | L | 44 - 67 |
| 2025-12-20 | vs | Salem (NC) | W | 42 - 36 |
| 2025-12-30 | vs | Va. Wesleyan | L | 54 - 72 |
| 2026-01-10 | @ | Greensboro | L | 76 - 87 |
| 2026-01-14 | vs | N.C. Wesleyan | L | 65 - 71 |
| 2026-01-17 | vs | Brevard | L | 44 - 67 |
| 2026-01-20 | @ | Methodist | L | 51 - 79 |
| 2026-01-29 | @ | William Peace | L | 45 - 81 |
| 2026-02-03 | vs | Regent | W | 55 - 40 |
| 2026-02-05 | @ | Southern Va. | L | 51 - 66 |
| 2026-02-07 | vs | N.C. Wesleyan | L | 44 - 71 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Molly Zuburg | - | 16 | 38.2 | 10.1 | 5.8 | 4.2 | 2.8 | 0.2 | 7.1 | 9.0 | 7.1 | -209 | -11.6 | -60.3 | 38.2 | 34.2 | 70.3 | -0.78 | 50.2 | 46.9 |
| Leanna Nohs | - | 16 | 27.8 | 9.7 | 3.4 | 0.6 | 1.5 | 0.1 | 3.0 | 11.5 | 0.8 | -218 | -12.1 | -89.7 | 35.9 | 23.1 | 60.9 | -1.66 | 39.9 | 38.3 |
| Mary Church | - | 7 | 31.2 | 8.6 | 4.7 | 0.7 | 1.0 | 0.0 | 3.4 | 10.3 | 1.3 | -41 | -4.6 | -51.1 | 26.4 | 21.1 | 64.3 | -1.39 | 35.6 | 29.2 |
| Emma Roche | - | 16 | 15.2 | 7.6 | 4.4 | 0.4 | 0.2 | 0.5 | 1.9 | 5.9 | 5.3 | -44 | -2.4 | -45.2 | 52.6 | 0 | 53.8 | -2.03 | 53.9 | 52.6 |
| Skyler Setzer | - | 15 | 30.8 | 7.4 | 4.3 | 2.3 | 1.3 | 0.0 | 4.8 | 7.1 | 3.4 | -156 | -8.7 | -55.3 | 37.4 | 17.9 | 70.6 | -1.11 | 45.5 | 40.7 |
| Emme Baber | - | 16 | 23.3 | 6.1 | 2.6 | 1.0 | 0.9 | 0.1 | 3.2 | 7.4 | 0.1 | -131 | -6.9 | -59.8 | 33.9 | 12.5 | 65.2 | 0.71 | 38.2 | 35.2 |
| Jaymie Bevins | - | 12 | 33.5 | 4.9 | 9.4 | 1.2 | 0.5 | 0.2 | 2.4 | 6.4 | 7.4 | -161 | -11.5 | -83.6 | 36.4 | 0 | 60.0 | 0.51 | 37.2 | 36.4 |
| Jaymie Blevins | - | 4 | 34.5 | 4.0 | 8.5 | 1.0 | 1.0 | 1.2 | 2.2 | 3.8 | 9.8 | -37 | -9.2 | -37.3 | 40.0 | 0 | 66.7 | -0.78 | 45.4 | 40.0 |
| Kaitlyn Lee | - | 11 | 6.2 | 2.0 | 1.1 | 0.0 | 0.2 | 0.2 | 0.9 | 1.5 | 1.0 | -51 | -3.4 | -68.0 | 52.9 | 0 | 80.0 | -2.35 | 57.3 | 52.9 |
| Avery Lackland | - | 12 | 11.6 | 1.6 | 1.4 | 0.3 | 0.2 | 0.0 | 0.8 | 2.9 | -0.1 | -75 | -5.8 | -97.5 | 25.7 | 0.0 | 25.0 | -1.26 | 25.8 | 25.7 |
| Jeallen Holland | - | 9 | 10.7 | 1.0 | 0.9 | 0.3 | 0.0 | 0.1 | 0.3 | 2.3 | -0.3 | -47 | -4.3 | -113.5 | 19.0 | 0 | 50.0 | 0.07 | 20.6 | 19.0 |
| Jeallan Holland | - | 1 | 4.9 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -1.0 | -47 | -4.3 | -113.5 | 0.0 | 0 | 0 | 0.07 | 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