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San Diego

Also known as: 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 → 735 (#529) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 778 (#509) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 858 (#642) HCA +75 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → -1.4 (#186) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → -6.8 (#467) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 1.000 (#9) -
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.100 (#537) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +55.7 More → 0.999 (#18) AdjNet +55.7
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -11.2 More → 0.216 (#511) AdjNet -11.2
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +55.2 More → 0.999 (#18) AdjNet +55.2
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -11.0 More → 0.214 (#518) AdjNet -11.0
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 75.4 | AdjD 45.8 More → 0.937 (#49) AdjO 75.4 | AdjD 45.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 62.0 | AdjD 69.3 More → 0.341 (#516) AdjO 62.0 | AdjD 69.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 61.7 | AdjD 66.6 More → 0.390 (#533) AdjO 61.7 | AdjD 66.6
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 → 0.344 (#492) 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 → 0.333 (#507) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 95 | GP 25 More → 794 (#472) RD 95 | GP 25

2017 Schedule & Results

Date Vs/At Opponent Result Score
2016-11-12 @ Western Ore. L 63 - 72
2016-11-13 vs Saint Martin's L 62 - 66
2016-11-15 vs Holy Names W 66 - 58
2016-11-18 vs UC Merced - Preview
2016-11-19 @ Dominican (CA) L 56 - 77
2016-11-22 vs William Jessup - Preview
2016-11-26 @ Fresno Pacific L 62 - 73
2016-12-02 vs Cal Poly Pomona L 43 - 59
2016-12-03 vs Cal St. East Bay L 48 - 51
2016-12-09 @ Sonoma St. L 46 - 66
2016-12-31 @ Chico St. L 48 - 76
2017-01-03 vs Cal Poly Humboldt L 48 - 52
2017-01-05 @ Cal State LA L 57 - 68
2017-01-07 @ Stanislaus St. L 45 - 58
2017-01-13 vs UC San Diego L 55 - 65
2017-01-14 vs CSUSB L 52 - 56
2017-01-18 @ CSUSB L 38 - 72
2017-01-21 vs Sonoma St. L 51 - 54
2017-01-26 @ Cal St. San Marcos L 65 - 73
2017-02-03 vs Stanislaus St. L 57 - 64
2017-02-04 vs Chico St. L 48 - 55
2017-02-10 @ Cal St. Monterey Bay L 66 - 71
2017-02-11 @ Cal St. East Bay L 50 - 60
2017-02-17 vs Cal St. Dom. Hills W 73 - 68
2017-02-18 vs Cal State LA W 55 - 54
2017-02-23 @ Cal Poly Pomona L 41 - 55
2017-02-25 @ Cal Poly Humboldt L 51 - 58

2017 Roster

No roster data available for this season.