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Evergreen St.

Also known as: Evergreen 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 → 949 (#334) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 861 (#499) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 966 (#542) HCA +62 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → -20.7 (#614) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.040 (#675) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -36.5 More → 0.005 (#562) NetEff -36.5
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -22.2 More → 0.072 (#568) AdjNet -22.2
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -22.0 More → 0.069 (#563) AdjNet -22.0
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 54.2 | AdjD 67.8 More → 0.227 (#557) AdjO 54.2 | AdjD 67.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 56.8 | AdjD 64.9 More → 0.324 (#589) AdjO 56.8 | AdjD 64.9
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 → 0.180 (#610) 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 → 0.204 (#601) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 290 | GP 2 More → 842 (#461) RD 290 | GP 2

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-12-10 vs Puget Sound L 49 - 88
2025-12-14 @ Pacific Lutheran L 47 - 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%
Jenna Glenzel - 2 37.8 13.0 7.0 1.0 6.0 1.0 3.5 11.5 13.0 - - - 39.1 0.0 100.0 - 49.0 39.1
McKenna Jacobs - 2 30.5 11.0 2.5 1.0 1.0 0.0 0.5 8.5 6.5 - - - 47.1 0.0 85.7 - 54.8 47.1
Bayleigh Harder - 2 32.9 11.0 4.0 1.0 0.5 2.0 3.0 13.0 2.5 - - - 26.9 21.4 83.3 - 38.4 32.7
Jesselle Victo Casti - 1 20.0 6.0 2.0 0.0 0.0 0.0 2.0 6.0 0.0 - - - 50.0 0.0 0 - 50.0 50.0
Amaya Afatasi - 1 20.0 6.0 1.0 0.0 1.0 0.0 5.0 3.0 0.0 - - - 66.7 0 100.0 - 77.3 66.7
Amaialyn Cepeda - 1 33.5 6.0 7.0 1.0 1.0 0.0 7.0 5.0 3.0 - - - 40.0 0.0 100.0 - 51.0 40.0
Jesselle VictoCastillo - 1 37.9 3.0 5.0 4.0 0.0 0.0 6.0 15.0 -9.0 - - - 6.7 20.0 0.0 - 9.4 10.0
Amaialyne Cepeda - 1 17.0 2.0 0.0 0.0 1.0 0.0 0.0 5.0 -2.0 - - - 20.0 0.0 0 - 20.0 20.0
Habiba Adam - 1 30.0 1.0 1.0 0.0 2.0 0.0 5.0 1.0 -2.0 - - - 0.0 0.0 50.0 - 26.6 0.0
Gina Brown - 2 19.6 1.0 5.0 0.0 0.0 0.0 2.0 3.0 1.0 - - - 16.7 0 0 - 16.7 16.7

Numbers/Game vs RAPM

Not enough players with both Numbers/Game and RAPM to plot.

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