North Park
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 → | 927 (#371) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 834 (#515) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 850 (#651) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -5.2 (#246) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -13.9 (#543) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.088 (#638) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.282 (#421) | NetEff -6.9 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.171 (#504) | AdjNet -13.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.163 (#503) | AdjNet -13.8 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.292 (#511) | AdjO 58.1 | AdjD 67.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.265 (#627) | AdjO 52.1 | AdjD 63.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.203 (#596) | 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 → | 0.201 (#603) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 811 (#483) | RD 102 | GP 21 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-07 | @ | Lawrence | L | 47 - 61 |
| 2025-11-12 | @ | Olivet | L | 48 - 49 |
| 2025-11-16 | vs | Manchester | L | 57 - 68 |
| 2025-11-20 | @ | Illinois Tech | W | 69 - 45 |
| 2025-11-22 | vs | Dominican (IL) | L | 57 - 58 |
| 2025-12-03 | @ | Lake Forest | L | 55 - 62 |
| 2025-12-13 | vs | North Central (IL) | L | 58 - 79 |
| 2025-12-16 | vs | Loras | W | 66 - 44 |
| 2025-12-17 | @ | Blackburn | W | 74 - 59 |
| 2025-12-30 | @ | Beloit | W | 63 - 41 |
| 2026-01-10 | @ | Ill. Wesleyan | L | 39 - 77 |
| 2026-01-14 | vs | Augustana (IL) | W | 61 - 60 |
| 2026-01-17 | vs | Elmhurst | L | 67 - 95 |
| 2026-01-21 | @ | Carroll (WI) | L | 63 - 79 |
| 2026-01-24 | @ | Wheaton (IL) | L | 39 - 55 |
| 2026-01-28 | @ | Augustana (IL) | L | 40 - 72 |
| 2026-01-31 | vs | Carthage | L | 54 - 71 |
| 2026-02-04 | vs | Ill. Wesleyan | L | 32 - 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Aliyah Hershberger | - | 18 | 37.5 | 13.2 | 2.0 | 1.5 | 0.9 | 0.0 | 1.3 | 11.2 | 5.0 | -182 | -9.1 | -45.6 | 44.1 | 37.3 | 78.7 | -2.01 | 53.2 | 49.5 |
| Caroline Long | - | 18 | 29.5 | 12.1 | 7.2 | 1.6 | 1.0 | 0.4 | 2.9 | 11.2 | 8.1 | -153 | -7.7 | -45.0 | 38.6 | 14.3 | 76.9 | -2.41 | 45.9 | 38.9 |
| Kathryn Keehn | - | 17 | 28.2 | 9.4 | 5.2 | 2.1 | 1.3 | 0.1 | 3.1 | 8.7 | 6.1 | -110 | -5.8 | -36.0 | 36.5 | 27.9 | 79.6 | 0.87 | 46.9 | 40.5 |
| Teresa Morrissey | - | 18 | 26.0 | 6.1 | 3.2 | 1.0 | 0.6 | 0.4 | 1.6 | 7.3 | 2.3 | -140 | -7.0 | -72.7 | 29.8 | 26.9 | 71.4 | -2.17 | 39.7 | 37.8 |
| Shay Bowen | - | 18 | 21.4 | 4.6 | 4.6 | 0.9 | 1.6 | 0.2 | 1.8 | 5.4 | 4.6 | -121 | -6.0 | -49.7 | 36.7 | 0.0 | 50.0 | -4.06 | 38.5 | 36.7 |
| Aliesha Peterson | - | 14 | 25.8 | 3.4 | 4.6 | 1.7 | 1.6 | 0.0 | 2.9 | 3.7 | 4.8 | -77 | -4.8 | -30.7 | 32.7 | 16.7 | 63.2 | 0.09 | 39.8 | 34.6 |
| Layla Murry | - | 16 | 10.5 | 3.2 | 1.0 | 0.2 | 0.2 | 0.1 | 0.9 | 2.9 | 0.9 | -26 | -1.5 | -28.6 | 34.8 | 23.5 | 62.5 | 0.11 | 45.1 | 39.1 |
| Naomi Kaskavitch | - | 16 | 24.7 | 3.1 | 2.4 | 1.8 | 1.2 | 0.3 | 2.7 | 3.9 | 2.2 | -108 | -5.7 | -33.3 | 30.6 | 28.6 | 62.5 | -0.94 | 37.4 | 35.5 |
| Ava Couture | - | 13 | 4.9 | 1.7 | 0.5 | 0.1 | 0.1 | 0.1 | 0.6 | 1.3 | 0.5 | -18 | -1.3 | -35.6 | 47.1 | 50.0 | 0 | -0.27 | 64.7 | 64.7 |
| Nia Gladney | - | 13 | 4.6 | 0.9 | 0.8 | 0.2 | 0.2 | 0.1 | 0.8 | 1.3 | 0.1 | -46 | -3.5 | -120.5 | 23.5 | 0.0 | 26.7 | -1.4 | 25.4 | 23.5 |
| Kayna Kanemoto | - | 4 | 4.0 | 0.5 | 0.2 | 0.0 | 0.5 | 0.0 | 0.5 | 1.0 | -0.2 | 2 | 0.7 | 92.3 | 25.0 | 0 | 0 | 0.76 | 25.0 | 25.0 |
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