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CSUSB

Model Outputs

2018-2019
Catalog

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 โ†’ 978 (#183) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1070 (#119) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +68 elo More โ†’ 973 (#189) HCA +68 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.6 More โ†’ +11.7 (#87) HCA +2.6
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.5 More โ†’ +6.7 (#136) HCA +2.5
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.571 (#136) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +13.6 More โ†’ 0.827 (#81) AdjNet +13.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +13.8 More โ†’ 0.832 (#81) AdjNet +13.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 79.0 | AdjD 70.5 More โ†’ 0.685 (#97) AdjO 79.0 | AdjD 70.5
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 75.2 | AdjD 73.8 More โ†’ 0.531 (#146) AdjO 75.2 | AdjD 73.8
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 โ†’ 0.654 (#130) 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 โ†’ 0.623 (#134) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 137 | GP 28 More โ†’ 1019 (#157) RD 137 | GP 28
Adjusted Context Blend Adjusted Context Blend Chronologically trained component blend with rest and signed venue context. Earlier model estimate; no qualified current forecast. More โ†’ Legacy estimate Earlier model estimate; no qualified current forecast.

2018-2019 Schedule & Results

Date Vs/At Opponent Result Score
2018-11-09 vs Concordia Portland W 82 - 75
2018-11-10 vs Central Wash. W 87 - 83
2018-11-20 @ UC San Diego L 63 - 97
2018-11-23 @ Point Loma L 68 - 83
2018-11-24 @ Seattle Pacific W 79 - 72
2018-11-29 vs Cal State LA L 66 - 72
2018-12-01 vs Cal Poly Humboldt W 83 - 73
2018-12-09 vs St. Katherine W 91 - 69
2018-12-13 @ San Fran. St. L 76 - 80
2018-12-15 @ Sonoma St. W 64 - 54
2018-12-19 @ Stanislaus St. W 70 - 42
2019-01-03 vs Chico St. W 88 - 72
2019-01-05 vs Cal Poly Pomona W 70 - 67
2019-01-10 vs Cal St. Monterey Bay W 96 - 71
2019-01-12 vs Cal St. East Bay L 79 - 82
2019-01-17 @ Cal State LA W 71 - 40
2019-01-19 @ Cal St. Dom. Hills L 76 - 88
2019-01-24 vs San Fran. St. L 72 - 81
2019-01-26 vs Sonoma St. W 89 - 73
2019-01-31 @ Cal St. East Bay W 74 - 73
2019-02-02 @ Cal St. Monterey Bay - Preview
2019-02-07 vs Cal St. San Marcos W 69 - 58
2019-02-09 vs UC San Diego W 77 - 75
2019-02-14 @ Chico St. L 62 - 73
2019-02-16 @ Cal Poly Humboldt L 49 - 53
2019-02-23 vs Stanislaus St. L 88 - 97
2019-03-02 @ Cal Poly Pomona L 64 - 68
2019-03-05 @ UC San Diego L 69 - 98

2018-2019 Roster

No roster data available for this season.