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CSUSB

Model Outputs

2016-2017
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†’ 1007 (#143) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1046 (#126) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +52 elo More โ†’ 1005 (#139) HCA +52 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.7 More โ†’ +2.8 (#142) HCA +2.7
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.6 More โ†’ -2.5 (#187) HCA +2.6
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.508 (#139) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +1.7 More โ†’ 0.548 (#149) AdjNet +1.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +1.8 More โ†’ 0.553 (#147) AdjNet +1.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 61.2 | AdjD 60.8 More โ†’ 0.509 (#157) AdjO 61.2 | AdjD 60.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 60.6 | AdjD 61.7 More โ†’ 0.474 (#163) AdjO 60.6 | AdjD 61.7
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†’ 0.508 (#155) 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†’ 0.501 (#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 135 | GP 24 More โ†’ 991 (#153) RD 135 | GP 24
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.

2016-2017 Schedule & Results

Date Vs/At Opponent Result Score
2016-11-11 @ Weber St. L 69 - 75
2016-11-15 vs CUI W 69 - 59
2016-11-17 @ California Baptist L 73 - 91
2016-11-25 @ Central Wash. W 66 - 52
2016-11-26 vs Northwest Nazarene W 73 - 69
2016-11-30 @ Cal St. San Marcos W 69 - 66
2016-12-03 @ Cal St. Monterey Bay W 64 - 50
2016-12-16 @ UC San Diego L 48 - 82
2016-12-17 @ Cal Poly Pomona L 49 - 58
2016-12-29 vs Stanislaus St. L 56 - 66
2017-01-06 vs Chico St. W 63 - 58
2017-01-13 @ Sonoma St. W 65 - 52
2017-01-14 @ San Fran. St. W 56 - 52
2017-01-18 vs San Fran. St. W 72 - 38
2017-01-21 vs Cal St. San Marcos L 61 - 65
2017-01-27 @ Chico St. L 54 - 63
2017-01-28 @ Stanislaus St. W 68 - 65
2017-02-03 vs Cal St. East Bay W 59 - 47
2017-02-04 vs Cal St. Monterey Bay W 52 - 49
2017-02-09 @ Cal State LA L 53 - 71
2017-02-11 @ Cal St. Dom. Hills W 67 - 59
2017-02-17 vs Cal Poly Humboldt W 60 - 54
2017-02-18 vs Cal Poly Pomona L 64 - 76
2017-02-23 vs UC San Diego L 60 - 66
2017-02-25 vs Cal St. Dom. Hills W 72 - 63
2017-02-28 @ Cal Poly Pomona L 49 - 54

2016-2017 Roster

No roster data available for this season.