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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†’ 945 (#182) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 996 (#152) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +53 elo More โ†’ 958 (#187) HCA +53 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.5 More โ†’ +7.0 (#117) HCA +2.5
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.4 More โ†’ +3.8 (#139) HCA +2.4
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.362 (#185) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +3.3 More โ†’ 0.594 (#156) AdjNet +3.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +3.5 More โ†’ 0.601 (#157) AdjNet +3.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 62.1 | AdjD 60.1 More โ†’ 0.546 (#154) AdjO 62.1 | AdjD 60.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 61.9 | AdjD 62.7 More โ†’ 0.482 (#156) AdjO 61.9 | AdjD 62.7
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†’ 0.525 (#156) 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†’ 0.512 (#156) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 149 | GP 23 More โ†’ 950 (#177) RD 149 | GP 23
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 Azusa Pacific L 53 - 68
2018-11-10 @ Point Loma W 67 - 59
2018-11-16 @ Concordia Portland L 62 - 68
2018-11-17 @ Central Wash. L 48 - 80
2018-11-29 vs Cal State LA W 74 - 52
2018-12-01 vs Cal Poly Humboldt L 49 - 69
2018-12-10 @ San Diego T 0 - 0
2018-12-13 @ San Fran. St. L 57 - 69
2018-12-15 @ Sonoma St. L 62 - 71
2018-12-19 @ UC San Diego L 62 - 81
2018-12-30 @ Stanislaus St. W 57 - 52
2019-01-03 vs Chico St. W 63 - 55
2019-01-05 vs Cal Poly Pomona L 70 - 71
2019-01-10 vs Cal St. Monterey Bay W 58 - 41
2019-01-12 vs Cal St. East Bay W 64 - 59
2019-01-17 @ Cal State LA W 63 - 58
2019-01-19 @ Cal St. Dom. Hills L 60 - 64
2019-01-24 vs San Fran. St. W 68 - 59
2019-01-26 vs Sonoma St. L 71 - 79
2019-01-31 @ Cal St. East Bay L 40 - 56
2019-02-02 @ Cal St. Monterey Bay - Preview
2019-02-07 vs Cal St. San Marcos L 61 - 72
2019-02-09 vs UC San Diego L 49 - 71
2019-02-14 @ Chico St. W 87 - 76
2019-02-16 @ Cal Poly Humboldt L 66 - 69
2019-02-23 vs Stanislaus St. L 52 - 65
2019-03-02 @ Cal Poly Pomona L 58 - 62

2018-2019 Roster

No roster data available for this season.