🐻⬇️🏀

Pittsburg St.

Also known as: Pittsburg St.
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 → 1171 (#49) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1254 (#19) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 1117 (#55) HCA +75 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → +15.8 (#40) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → +18.4 (#107) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.889 (#190) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +13.4 More → 0.844 (#162) NetEff +13.4
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +35.7 More → 0.984 (#88) AdjNet +35.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +36.5 More → 0.986 (#86) AdjNet +36.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 82.2 | AdjD 57.9 More → 0.901 (#74) AdjO 82.2 | AdjD 57.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 73.2 | AdjD 61.0 More → 0.752 (#48) AdjO 73.2 | AdjD 61.0
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 → 0.844 (#64) 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 → 0.836 (#60) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 103 | GP 22 More → 1212 (#41) RD 103 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-14 @ Northern St. W 72 - 70
2025-11-15 @ Minn.-Crookston W 82 - 78
2025-11-20 @ Northwestern Okla. W 68 - 64
2025-11-25 vs Texas Woman's L 62 - 87
2025-11-30 vs Angelo St. W 66 - 46
2025-12-04 vs Central Okla. W 62 - 59
2025-12-06 vs Rogers St. W 73 - 51
2025-12-13 @ Fort Hays St. L 70 - 88
2025-12-15 vs St. Mary (KS) W 86 - 43
2025-12-19 @ Cameron W 73 - 51
2025-12-20 vs Western Colo. W 70 - 67
2026-01-01 @ Ark.-Fort Smith W 79 - 56
2026-01-03 @ Northeastern St. W 67 - 58
2026-01-14 @ Rogers St. W 68 - 57
2026-01-17 @ Central Okla. W 84 - 56
2026-01-28 vs Northeastern St. L 76 - 80
2026-01-31 vs Ark.-Fort Smith W 68 - 58
2026-02-02 vs Mo. Southern St. W 72 - 66
2026-02-05 @ Emporia St. L 63 - 65
2026-02-07 @ Newman W 81 - 76

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%
Marin Adams - 20 31.0 13.1 4.0 2.6 0.8 0.3 2.1 10.7 8.2 143 6.5 26.7 39.7 27.4 88.9 -0.14 52.5 44.4
Harper Schreiner - 20 34.2 12.6 7.7 2.4 1.4 0.1 2.5 10.2 11.4 82 3.7 14.0 40.7 32.4 82.9 1.28 52.9 46.1
Ja'Miya Brown - 18 25.0 12.6 4.4 1.1 0.8 0.3 1.7 10.6 6.8 67 3.4 21.5 44.5 37.8 75.8 -0.44 55.0 52.6
Kaycee McCumber - 20 24.6 9.3 10.2 0.5 0.7 0.7 1.3 6.3 13.8 31 1.4 6.3 49.2 0 76.5 0.79 57.5 49.2
Clara Swearingen - 20 30.3 8.2 2.8 1.6 0.8 0.1 1.6 8.6 3.2 109 4.7 19.6 31.6 26.7 65.9 -0.68 43.1 39.5
Cambrie Phillips - 20 16.7 5.1 2.5 0.5 0.2 0.4 0.7 5.5 2.5 77 3.5 25.5 30.0 34.8 71.4 0.86 41.7 37.3
Amanda Byrnes - 18 12.7 4.6 3.6 0.3 0.3 0.9 0.7 3.0 5.9 111 5.5 81.3 57.4 0 69.0 -0.62 61.4 57.4
Hannah Miller - 20 14.3 4.5 1.4 0.9 0.3 0.1 1.6 4.3 1.2 -83 -1.8 -18.7 40.2 11.1 78.3 -5.95 45.8 40.8
Marie Wembadjonga - 16 8.1 2.1 2.3 0.4 0.1 0.1 0.5 1.0 3.5 8 0.5 15.2 68.8 0 55.0 -1.67 66.5 68.8
Karolina Kiraga - 12 10.4 1.9 0.6 1.2 0.5 0.2 0.6 1.0 2.8 82 5.9 51.9 58.3 33.3 57.1 -0.36 63.3 62.5
Ashlyn Yow - 13 11.3 1.8 1.2 0.3 0.2 0.0 1.0 2.2 0.3 -6 -0.4 -20.8 34.5 23.5 0 -1.62 41.4 41.4

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