Washburn
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 → | 1114 (#80) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1152 (#61) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1077 (#91) | HCA +75 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +14.0 (#52) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +19.1 (#103) | HCA +3.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.660 (#302) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.834 (#165) | NetEff +11.6 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.910 (#197) | AdjNet +20.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.923 (#194) | AdjNet +21.1 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.772 (#195) | AdjO 72.9 | AdjD 59.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.761 (#44) | AdjO 64.2 | AdjD 51.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.839 (#68) | 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 → | 0.833 (#62) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1141 (#81) | RD 99 | GP 22 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-14 | vs | St. Cloud St. | L | 61 - 73 |
| 2025-11-15 | vs | Southwest Minn. St. | W | 63 - 59 |
| 2025-11-21 | vs | Southwest Baptist | W | 70 - 47 |
| 2025-11-22 | vs | MSU Denver | W | 66 - 44 |
| 2025-11-28 | @ | St. Mary's (TX) | L | 49 - 53 |
| 2025-11-29 | @ | Tex. A&M-Kingsville | W | 62 - 48 |
| 2025-12-04 | vs | Neb.-Kearney | W | 71 - 65 |
| 2025-12-06 | vs | Fort Hays St. | W | 67 - 64 |
| 2025-12-13 | vs | Central Mo. | L | 56 - 67 |
| 2025-12-16 | vs | Truman St. | W | 68 - 52 |
| 2025-12-19 | vs | Western Colo. | W | 59 - 43 |
| 2025-12-20 | @ | Cameron | W | 78 - 49 |
| 2026-01-03 | vs | Emporia St. | W | 86 - 59 |
| 2026-01-10 | @ | Northwest Mo. St. | L | 61 - 65 |
| 2026-01-15 | @ | Emporia St. | W | 63 - 52 |
| 2026-01-17 | @ | Newman | W | 69 - 55 |
| 2026-01-21 | vs | Northwest Mo. St. | W | 45 - 38 |
| 2026-01-23 | vs | Missouri Western | W | 71 - 55 |
| 2026-01-29 | @ | Fort Hays St. | L | 47 - 59 |
| 2026-01-31 | @ | Neb.-Kearney | W | 76 - 65 |
| 2026-02-07 | @ | Central Mo. | L | 58 - 64 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Yiibari Nwidadah | - | 20 | 23.3 | 11.6 | 7.3 | 0.7 | 0.6 | 0.6 | 1.6 | 8.6 | 10.4 | -9 | -0.4 | -2.5 | 54.7 | 0 | 62.9 | -1.41 | 57.2 | 54.7 |
| Payton Sterk | - | 21 | 31.3 | 11.4 | 3.0 | 1.9 | 1.4 | 0.0 | 2.0 | 11.1 | 4.6 | 93 | 4.2 | 23.2 | 35.5 | 31.7 | 91.1 | 3.51 | 47.1 | 42.3 |
| Gabi Giovannetti | - | 21 | 29.0 | 10.7 | 4.1 | 1.7 | 1.9 | 0.3 | 1.6 | 9.1 | 8.0 | 53 | 2.4 | 14.0 | 42.9 | 37.5 | 77.5 | -0.37 | 53.9 | 50.8 |
| Britany Kogbara | - | 21 | 16.1 | 7.7 | 3.7 | 0.6 | 0.6 | 0.8 | 1.4 | 5.8 | 6.1 | 28 | 1.3 | 14.8 | 57.9 | 0 | 58.3 | 0.9 | 58.8 | 57.9 |
| Madelyn Amekporfor | - | 21 | 23.9 | 6.3 | 3.0 | 1.6 | 1.1 | 0.7 | 1.8 | 6.2 | 4.7 | 70 | 3.2 | 23.1 | 37.4 | 26.3 | 71.4 | -1.84 | 45.4 | 41.2 |
| Aniah Wayne | - | 21 | 19.9 | 6.2 | 2.2 | 0.9 | 0.8 | 0.0 | 1.3 | 5.8 | 3.0 | -29 | -1.3 | -9.1 | 36.9 | 29.9 | 75.0 | -1.47 | 48.8 | 45.1 |
| Brooke Gomez | - | 21 | 18.6 | 4.0 | 2.5 | 2.8 | 0.8 | 0.1 | 2.3 | 3.6 | 4.2 | 84 | 3.8 | 32.1 | 44.7 | 22.2 | 66.7 | 1.96 | 50.0 | 47.4 |
| Kellyn Hunter | - | 18 | 17.3 | 3.3 | 2.9 | 1.9 | 1.1 | 0.0 | 1.4 | 4.4 | 3.4 | -38 | -1.9 | -11.8 | 27.5 | 20.0 | 62.5 | -0.17 | 33.1 | 28.1 |
| Nia McKenzie | - | 21 | 13.2 | 1.8 | 3.0 | 0.9 | 0.4 | 0.1 | 0.6 | 2.1 | 3.3 | -2 | -0.1 | -1.3 | 26.7 | 12.5 | 70.6 | 2.95 | 35.3 | 27.8 |
| Cloie Jansky | - | 8 | 3.0 | 1.2 | 0.6 | 0.0 | 0.0 | 0.1 | 0.1 | 1.8 | 0.1 | - | - | - | 35.7 | 0 | 0.0 | - | 34.6 | 35.7 |
| Kennadi Jackson | - | 16 | 6.2 | 1.0 | 0.4 | 0.4 | 0.3 | 0.0 | 0.9 | 1.2 | 0.1 | -24 | -1.4 | -147.3 | 21.1 | 0.0 | 50.0 | -0.0 | 30.7 | 21.1 |
| Willow Gideon | - | 8 | 4.1 | 1.0 | 0.6 | 0.0 | 0.1 | 0.0 | 0.4 | 1.2 | 0.1 | - | - | - | 20.0 | 20.0 | 75.0 | - | 34.0 | 25.0 |
| Lauren Luebbert | - | 10 | 5.6 | 0.6 | 0.7 | 0.0 | 0.5 | 0.0 | 0.7 | 0.7 | 0.4 | - | - | - | 14.3 | 25.0 | 50.0 | - | 31.1 | 21.4 |
| Kylin Shipman | - | 11 | 8.3 | 0.4 | 0.5 | 0.5 | 0.4 | 0.0 | 0.9 | 1.5 | -0.6 | -15 | -1.2 | -198.9 | 12.5 | 0.0 | 0 | 0.08 | 12.5 | 12.5 |
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