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Cal Poly

Also known as: Cal Poly
Program History

Model Outputs

2025-2026 latest available
Catalog

No materialized model snapshot for 2016 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 → 1306 (#8) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1297 (#12) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 1134 (#47) HCA +75 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → +22.5 (#13) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → +2.0 (#330) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.999 (#62) -
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.894 (#186) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +30.7 More → 0.972 (#115) AdjNet +30.7
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +23.4 More → 0.937 (#169) AdjNet +23.4
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +30.3 More → 0.975 (#117) AdjNet +30.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +23.4 More → 0.941 (#170) AdjNet +23.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 64.7 | AdjD 48.9 More → 0.808 (#161) AdjO 64.7 | AdjD 48.9
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 71.3 | AdjD 56.8 More → 0.788 (#179) AdjO 71.3 | AdjD 56.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 62.1 | AdjD 57.5 More → 0.602 (#169) AdjO 62.1 | AdjD 57.5
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 → 0.648 (#233) 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 → 0.658 (#222) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 84 | GP 39 More → 1187 (#53) RD 84 | GP 39

2016 Schedule & Results

Date Vs/At Opponent Result Score
2015-11-13 vs Azusa Pacific - Preview
2015-11-14 vs Point Loma - Preview
2015-11-20 vs Mont. St. Billings - Preview
2015-11-21 vs Simon Fraser - Preview
2015-11-24 @ Biola - Preview
2015-11-28 @ Hope Int'l - Preview
2015-12-02 vs Cal State LA W 82 - 45
2015-12-05 vs Cal St. Dom. Hills - Preview
2015-12-13 @ Cal St. Monterey Bay W 65 - 63
2015-12-15 @ Cal St. East Bay L 55 - 61
2015-12-19 vs Central Wash. L 58 - 63
2016-01-01 @ CSUSB L 60 - 68
2016-01-02 @ UC San Diego - Preview
2016-01-07 vs Stanislaus St. - Preview
2016-01-09 vs Chico St. W 65 - 58
2016-01-15 @ Cal State LA - Preview
2016-01-16 @ Cal St. Dom. Hills - Preview
2016-01-23 vs Cal Poly Humboldt - Preview
2016-01-28 vs CSUSB W 52 - 45
2016-01-30 vs UC San Diego - Preview
2016-02-05 @ Sonoma St. - Preview
2016-02-06 @ San Fran. St. L 44 - 49
2016-02-11 vs Cal St. Monterey Bay W 61 - 60
2016-02-12 vs Cal St. East Bay - Preview
2016-02-19 @ Chico St. - Preview
2016-02-20 @ Stanislaus St. L 65 - 76
2016-02-27 vs Cal St. San Marcos - Preview
2016-03-01 @ UC San Diego - Preview

2016 Roster

No roster data available for this season.