Rose-Hulman
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 → | 983 (#270) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 858 (#500) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 947 (#570) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -1.6 (#213) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -0.6 (#381) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.360 (#513) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.180 (#457) | NetEff -11.3 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.455 (#396) | AdjNet -1.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.443 (#395) | AdjNet -1.9 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.455 (#397) | AdjO 63.1 | AdjD 65.1 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.496 (#393) | AdjO 60.9 | AdjD 61.1 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.412 (#445) | 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 → | 0.430 (#433) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 916 (#403) | RD 102 | GP 22 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-07 | @ | CWRU | L | 33 - 81 |
| 2025-11-08 | @ | MSOE | L | 46 - 56 |
| 2025-11-11 | vs | Millikin | L | 68 - 71 |
| 2025-11-14 | vs | Elmhurst | L | 51 - 72 |
| 2025-11-15 | @ | Benedictine (IL) | L | 58 - 65 |
| 2025-11-22 | @ | UChicago | L | 54 - 85 |
| 2025-12-03 | @ | Manchester | L | 63 - 78 |
| 2025-12-10 | vs | Greenville | W | 75 - 50 |
| 2025-12-13 | @ | Anderson (IN) | L | 63 - 73 |
| 2025-12-17 | @ | Earlham | W | 76 - 56 |
| 2026-01-10 | @ | Transylvania | L | 48 - 76 |
| 2026-01-14 | @ | Hanover | L | 58 - 65 |
| 2026-01-17 | vs | Franklin | L | 67 - 79 |
| 2026-01-21 | vs | Manchester | W | 67 - 62 |
| 2026-01-23 | @ | Berea | L | 51 - 68 |
| 2026-01-28 | @ | Franklin | L | 67 - 74 |
| 2026-01-31 | vs | Transylvania | L | 44 - 62 |
| 2026-02-04 | vs | Hanover | W | 66 - 59 |
| 2026-02-07 | vs | Anderson (IN) | W | 79 - 54 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Katelyn Fennell | - | 19 | 33.5 | 13.8 | 5.8 | 2.2 | 1.2 | 0.4 | 2.8 | 11.5 | 9.0 | -58 | -2.9 | -11.5 | 44.0 | 35.5 | 89.6 | -0.71 | 54.8 | 50.2 |
| Kaia Peterson | - | 19 | 26.1 | 9.9 | 3.4 | 1.3 | 1.2 | 0.4 | 2.3 | 8.1 | 5.8 | -56 | -2.8 | -15.2 | 44.8 | 14.3 | 77.4 | -1.59 | 52.1 | 45.8 |
| Sophia Reese | - | 13 | 29.8 | 9.6 | 2.5 | 2.9 | 1.1 | 0.2 | 3.2 | 9.4 | 3.7 | -4 | -0.2 | -1.0 | 39.3 | 28.1 | 80.0 | 2.34 | 47.0 | 43.0 |
| Emma Schipp | - | 19 | 27.7 | 9.3 | 6.3 | 2.2 | 0.8 | 0.4 | 3.0 | 10.2 | 5.8 | -6 | -0.3 | -1.4 | 37.3 | 21.7 | 65.1 | -0.64 | 41.8 | 38.6 |
| Julia Meyer | - | 19 | 17.4 | 5.5 | 2.6 | 0.9 | 0.6 | 0.1 | 1.5 | 5.9 | 2.2 | 23 | 1.3 | 11.9 | 34.5 | 26.2 | 71.4 | -5.75 | 42.5 | 39.4 |
| CK Gallegos Rodriguez | - | 14 | 19.9 | 5.0 | 4.4 | 1.5 | 1.1 | 0.7 | 1.4 | 4.4 | 6.8 | -49 | -3.1 | -12.7 | 41.9 | 20.0 | 80.0 | 2.67 | 49.4 | 43.5 |
| María Godoy Rodriguez | - | 19 | 22.7 | 3.7 | 3.5 | 2.3 | 2.6 | 0.9 | 2.0 | 4.8 | 6.2 | -14 | -0.7 | -4.6 | 36.3 | 5.6 | 30.0 | 0.13 | 36.7 | 36.8 |
| Reagan Lorenzen | - | 12 | 14.0 | 3.4 | 2.2 | 0.8 | 0.7 | 0.0 | 1.3 | 4.9 | 0.8 | -19 | -1.6 | -14.5 | 28.8 | 9.1 | 100.0 | -1.71 | 33.3 | 29.7 |
| Anaya Hawkins | - | 19 | 14.9 | 3.4 | 2.5 | 0.7 | 0.7 | 0.6 | 0.5 | 4.5 | 2.9 | -62 | -3.1 | -36.4 | 30.6 | 5.3 | 68.8 | 0.64 | 34.8 | 31.2 |
| Columba Rodriguez | - | 7 | 4.6 | 1.9 | 0.9 | 0.3 | 0.1 | 0.0 | 0.6 | 1.6 | 1.0 | 21 | 2.6 | 62.1 | 45.5 | 66.7 | 50.0 | 1.32 | 54.7 | 54.5 |
| Aubrey Barrett | - | 7 | 7.1 | 0.9 | 0.9 | 0.1 | 0.0 | 0.0 | 0.7 | 1.4 | -0.3 | -31 | -4.4 | -100.5 | 20.0 | 0.0 | 100.0 | -2.31 | 27.6 | 20.0 |
| Abigale Shearer | - | 13 | 4.2 | 0.5 | 0.6 | 0.0 | 0.0 | 0.0 | 0.2 | 0.2 | 0.6 | -16 | -1.1 | -102.7 | 33.3 | 0 | 100.0 | -0.07 | 63.0 | 33.3 |
| Jamie Hunter | - | 9 | 3.6 | 0.4 | 0.4 | 0.2 | 0.1 | 0.0 | 0.2 | 0.8 | 0.2 | -40 | -3.6 | -382.5 | 14.3 | 0.0 | 100.0 | -1.19 | 25.4 | 14.3 |
| Emilia Diaz | - | 12 | 7.3 | 0.2 | 0.6 | 0.3 | 0.7 | 0.0 | 0.5 | 1.4 | -0.1 | -38 | -3.2 | -2026.7 | 5.9 | 0.0 | 50.0 | -0.33 | 8.4 | 5.9 |
| Sierra Snowden | - | 1 | 6.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | -1.0 | -8 | -8.0 | -51.3 | 0 | 0 | 0 | -1.07 | 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