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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 2017 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

2017 Schedule & Results

Date Vs/At Opponent Result Score
2016-11-11 @ Point Loma L 57 - 61
2016-11-12 vs Azusa Pacific W 67 - 56
2016-11-18 @ Black Hills St. W 69 - 48
2016-11-19 @ Mont. St. Billings L 50 - 64
2016-11-25 @ Simon Fraser L 50 - 68
2016-11-26 @ Simon Fraser L 47 - 56
2016-11-29 vs UC San Diego W 65 - 56
2016-12-02 @ San Fran. St. W 59 - 43
2016-12-10 vs Cal St. San Marcos L 64 - 67
2016-12-15 vs Cal St. East Bay W 50 - 44
2016-12-17 vs CSUSB W 58 - 49
2016-12-30 @ Sonoma St. L 62 - 74
2017-01-05 @ Cal St. Dom. Hills W 67 - 60
2017-01-07 @ Cal State LA L 48 - 51
2017-01-12 @ Cal St. San Marcos W 68 - 47
2017-01-19 vs Stanislaus St. L 68 - 84
2017-01-21 vs Chico St. W 72 - 69
2017-01-27 @ Cal St. Monterey Bay W 80 - 59
2017-01-28 @ Cal St. East Bay L 62 - 72
2017-02-02 vs Cal St. Dom. Hills W 71 - 44
2017-02-04 vs Cal State LA W 55 - 45
2017-02-11 @ Cal Poly Humboldt W 68 - 44
2017-02-17 @ UC San Diego L 67 - 80
2017-02-18 @ CSUSB W 76 - 64
2017-02-23 vs San Fran. St. W 55 - 41
2017-02-25 vs Sonoma St. W 49 - 45
2017-02-28 vs CSUSB W 54 - 49
2017-03-03 @ Cal St. East Bay L 63 - 75

2017 Roster

No roster data available for this season.