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UC San Diego

Also known as: UC San Diego
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 → 1011 (#231) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1061 (#217) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 980 (#356) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1045 (#195) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → +4.7 (#141) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +14.9 (#158) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.999 (#116) -
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.358 (#514) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +59.4 More → 0.999 (#45) AdjNet +59.4
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +2.1 More → 0.561 (#362) AdjNet +2.1
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +58.2 More → 0.999 (#50) AdjNet +58.2
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +2.0 More → 0.559 (#361) AdjNet +2.0
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 83.3 | AdjD 45.2 More → 0.969 (#54) AdjO 83.3 | AdjD 45.2
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 61.6 | AdjD 60.6 More → 0.523 (#359) AdjO 61.6 | AdjD 60.6
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 68.7 | AdjD 54.5 More → 0.784 (#68) AdjO 68.7 | AdjD 54.5
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 → 0.762 (#159) 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 → 0.764 (#150) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 126 | GP 23 More → 1066 (#234) RD 126 | GP 23

2017 Schedule & Results

Date Vs/At Opponent Result Score
2016-11-15 vs Oregon Tech - Preview
2016-11-18 @ Whitman L 56 - 67
2016-11-19 @ Whitworth L 65 - 67
2016-11-25 @ Pomona-Pitzer W 83 - 55
2016-11-26 @ Claremont-M-S L 51 - 76
2016-12-03 vs La Verne W 71 - 51
2016-12-04 vs Pomona-Pitzer W 78 - 60
2016-12-11 @ Santa Clara L 39 - 85
2016-12-15 @ Chapman W 64 - 58
2016-12-17 @ Cal Lutheran L 71 - 78
2016-12-20 vs Northwestern-St. Paul W 57 - 49
2016-12-22 vs Whittier W 63 - 52
2016-12-27 @ Whittier W 69 - 56
2016-12-28 @ Caltech W 60 - 45
2016-12-29 vs Wheaton (IL) L 47 - 79
2017-01-14 vs William Jessup - Preview
2017-01-15 vs Antelope Valley L 65 - 84
2017-01-22 @ Antelope Valley L 74 - 92
2017-02-04 vs Bethesda (CA) W 74 - 61
2017-02-09 vs Pacific Union W 76 - 51
2017-02-11 vs Bethesda (CA) W 59 - 43
2017-02-14 @ William Jessup L 54 - 60
2017-02-17 vs Bethesda (CA) W 92 - 57
2017-03-03 @ Puget Sound L 74 - 93

2017 Roster

No roster data available for this season.