🐻⬇️🏀

North Park

Also known as: North Park
Program History

Model Outputs

2025-2026
Catalog

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 → 780 (#548) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 799 (#527) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 850 (#651) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.4 More → -5.6 (#278) HCA +2.4
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 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. NetEff -6.9 More → 0.282 (#421) NetEff -6.9
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -13.7 More → 0.171 (#504) AdjNet -13.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -13.8 More → 0.163 (#503) AdjNet -13.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 58.1 | AdjD 67.8 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. AdjO 52.1 | AdjD 63.3 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. Blend of Elo, BT, Margin, PythLog, PtsOD 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. Blend of Elo, BT, Margin, PythLog, PtsOD 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. RD 102 | GP 21 More → 811 (#487) RD 102 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 @ Lawrence - Incomplete score
2025-11-12 @ Olivet - Incomplete score
2025-11-16 vs Manchester - Incomplete score
2025-11-20 @ Illinois Tech - Incomplete score
2025-11-22 vs Dominican (IL) - Incomplete score
2025-12-03 @ Lake Forest - Incomplete score
2025-12-13 vs North Central (IL) - Incomplete score
2025-12-16 vs Loras - Incomplete score
2025-12-17 @ Blackburn - Incomplete score
2025-12-30 @ Beloit - Incomplete score
2026-01-10 @ Ill. Wesleyan - Incomplete score
2026-01-14 vs Augustana (IL) - Incomplete score
2026-01-17 vs Elmhurst - Incomplete score
2026-01-21 @ Carroll (WI) - Incomplete score
2026-01-24 @ Wheaton (IL) - Incomplete score
2026-01-28 @ Augustana (IL) - Incomplete score
2026-01-31 vs Carthage - Incomplete score
2026-02-04 vs Ill. Wesleyan - Incomplete score

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 -1.65 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 0.28 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 1.11 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 -2.49 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 -2.75 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 -0.28 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 0.64 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 -0.36 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 -0.72 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 -2.52 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 - 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