🐻⬇️🏀

Greenville

Also known as: Greenville
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 → 897 (#408) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 751 (#556) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 870 (#638) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -16.0 (#329) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → -21.9 (#622) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.404 (#490) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -17.7 More → 0.074 (#500) NetEff -17.7
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -19.2 More → 0.099 (#547) AdjNet -19.2
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -19.7 More → 0.090 (#546) AdjNet -19.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 58.2 | AdjD 71.3 More → 0.232 (#554) AdjO 58.2 | AdjD 71.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 54.8 | AdjD 69.1 More → 0.213 (#658) AdjO 54.8 | AdjD 69.1
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 → 0.125 (#649) 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 → 0.133 (#647) 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 21 More → 737 (#520) RD 103 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-11 vs Loras L 51 - 69
2025-11-14 vs Monmouth (IL) W 66 - 51
2025-11-15 @ Illinois Col. L 66 - 79
2025-11-19 @ WashU L 32 - 91
2025-11-21 vs Concordia Wisconsin L 48 - 56
2025-11-22 @ Augustana (IL) L 45 - 66
2025-11-25 @ Spalding W 61 - 51
2025-12-10 @ Rose-Hulman L 50 - 75
2025-12-15 @ North Central (MN) L 64 - 69
2025-12-30 vs Centre L 60 - 73
2026-01-14 @ Westminster (MO) L 55 - 68
2026-01-17 vs Webster L 64 - 86
2026-01-21 vs Blackburn W 71 - 70
2026-01-26 @ Eureka W 70 - 54
2026-01-29 vs MUW W 68 - 64
2026-01-31 vs Lyon L 78 - 84
2026-02-03 @ Principia L 55 - 69

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%
Mia deJesus - 10 26.5 10.7 8.1 1.5 0.5 0.0 2.1 10.8 7.9 -52 -3.7 -25.3 42.6 21.4 60.0 -1.59 45.8 44.0
Alyssa Seymour - 17 22.9 9.0 6.2 0.6 0.9 0.4 2.1 6.4 8.6 21 1.0 9.4 47.7 0.0 71.0 -1.44 54.9 47.7
Rylee Hipp - 5 19.9 7.6 2.8 0.8 1.2 0.2 1.6 6.4 4.6 -7 -1.8 -5.7 53.1 27.3 25.0 -2.08 56.3 57.8
Amelia Shoemaker - 17 22.6 7.4 4.2 1.5 1.2 0.5 2.1 5.1 7.8 23 1.1 13.5 44.2 31.6 69.1 -0.27 57.2 51.2
Morgan Alexander - 16 24.8 6.9 2.2 1.4 1.0 0.2 2.6 5.8 3.3 -16 -0.9 -6.3 41.9 32.7 70.8 -0.41 53.6 50.5
Trinity Wade - 16 15.8 5.5 1.1 1.6 1.2 0.0 2.8 6.4 0.2 -49 -2.5 -27.6 32.0 6.2 58.8 0.42 37.3 33.0
Cortney Brummer - 15 17.2 5.2 5.1 0.6 1.2 0.1 1.7 4.4 6.0 10 0.6 7.9 43.9 11.1 57.6 -1.8 48.4 44.7
Adeline Goheen - 10 17.9 5.1 3.0 1.5 0.5 0.0 1.7 3.8 4.6 1 0.1 0.9 36.8 38.5 69.2 1.78 51.6 43.4
Mya Mann - 13 22.5 4.8 1.9 2.9 1.5 0.2 3.5 7.5 0.3 -16 -0.9 -7.0 16.3 6.9 82.4 -1.39 27.4 17.3
Baylie Joiner - 13 12.8 4.2 2.9 0.4 0.2 0.4 1.5 4.6 2.1 -106 -7.1 -87.2 35.0 0.0 65.0 -0.3 40.0 35.0
Lera Schmeink - 8 19.0 4.0 2.8 0.4 0.1 0.0 1.5 3.4 2.4 41 4.1 69.6 40.7 28.6 57.1 1.03 48.3 44.4
Maddi Basterretxea - 14 16.8 2.9 1.6 0.2 0.5 0.3 1.5 3.1 0.9 -48 -2.7 -73.6 30.2 35.0 70.0 -0.45 42.2 38.4
Dru Clark - 7 11.0 2.9 4.1 0.1 0.4 0.1 0.4 3.3 4.0 14 1.6 57.1 30.4 0 37.5 -1.2 33.3 30.4
Alaina Maurer - 4 6.2 2.5 1.0 0.0 0.2 0.0 0.2 2.0 1.5 -2 -0.3 -5.5 25.0 0 66.7 -0.54 41.8 25.0
Skylar Sweeney - 8 15.2 1.5 2.4 1.1 0.1 0.0 1.6 1.8 1.8 -2 -0.2 -3.2 21.4 50.0 50.0 0.1 34.2 28.6
Kylah Parkhill - 5 3.7 1.4 0.4 0.2 0.4 0.0 0.4 1.2 0.8 -5 -0.8 -35.1 50.0 33.3 0 -0.86 58.3 58.3
Shasta Whitmore - 5 5.6 1.2 1.0 0.6 0.4 0.0 0.4 1.4 1.4 -4 -0.7 -30.9 14.3 0.0 66.7 0.91 31.1 14.3
Lucia Caballero - 6 5.2 1.0 0.3 0.3 0.0 0.0 0.0 1.7 0.0 -2 -0.3 -17.1 20.0 12.5 50.0 0.2 27.6 25.0
Matia Price - 3 1.8 0.7 0.3 0.0 0.0 0.0 0.3 0.3 0.3 -41 -2.6 -22.0 100.0 0 0.0 -2.8 69.4 100.0
Sierra Ramos - 4 2.9 0.0 0.0 0.2 0.5 0.0 0.8 0.2 -0.2 - - - 0.0 0.0 0 - 0.0 0.0
Greenlee Dust - 3 1.4 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
Alizza Quinones - 1 3.3 0.0 1.0 1.0 0.0 0.0 1.0 1.0 0.0 - - - 0.0 0.0 0 - 0.0 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