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Pacific Lutheran Lutes

Season:
Also known as: Pacific Lutheran Lutes
Program History

Model Outputs

2025-2026 latest available
Catalog

No materialized model snapshot for 2025 yet, so this section is showing the latest available team-model rows.

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 → 1000 (#382) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1048 (#265) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 998 (#475) HCA +56 elo
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 920 (#650) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -7.0 (#213) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → -8.9 (#509) HCA +3.0
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → -16.2 (#627) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.493 (#476) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -5.4 More → 0.350 (#425) AdjNet -5.4
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -5.2 More → 0.350 (#422) AdjNet -5.2
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 69.0 | AdjD 73.9 More → 0.390 (#443) AdjO 69.0 | AdjD 73.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 74.7 | AdjD 77.0 More → 0.447 (#516) AdjO 74.7 | AdjD 77.0
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 72.4 | AdjD 75.5 More → 0.430 (#543) AdjO 72.4 | AdjD 75.5
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 → 0.335 (#548) Blend of Elo, BT, Margin, PythLog, PtsOD
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 → 0.330 (#558) 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 → 0.359 (#538) 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 → 0.338 (#557) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 136 | GP 6 More → 880 (#501) RD 136 | GP 6

2025 Schedule & Results

No games found for this season.

2025 Roster

No roster data available for this season.