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Pacific (OR)

Also known as: Pacific (OR)
Program History

Model Outputs

2025-2026 latest available
Catalog

No materialized model snapshot for 2015 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 → 973 (#259) -
Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More → 940 (#338) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 974 (#277) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 760 (#530) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More → 836 (#580) HCA +95 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → -22.5 (#542) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.004 (#691) -
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.003 (#697) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -28.6 More → 0.035 (#696) AdjNet -28.6
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -39.4 More → 0.010 (#738) AdjNet -39.4
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -28.2 More → 0.034 (#693) AdjNet -28.2
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -38.8 More → 0.010 (#738) AdjNet -38.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 72.5 | AdjD 98.5 More → 0.086 (#718) AdjO 72.5 | AdjD 98.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 61.9 | AdjD 90.8 More → 0.067 (#732) AdjO 61.9 | AdjD 90.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 67.4 | AdjD 85.1 More → 0.166 (#590) AdjO 67.4 | AdjD 85.1
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 → 0.096 (#583) 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 → 0.106 (#583) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 209 | GP 11 More → 690 (#503) RD 209 | GP 11

2015 Schedule & Results

Date Vs/At Opponent Result Score
2014-11-14 vs Chico St. - Preview
2014-11-15 @ Sonoma St. - Preview
2014-11-22 @ Holy Names - Preview
2014-12-20 @ Cal Poly Humboldt - Preview

2015 Roster

No roster data available for this season.