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Embry-Riddle (AZ)

Also known as: Embry-Riddle (AZ)
Program History

Model Outputs

2025-2026 latest available
Catalog

No materialized model snapshot for 2018 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 → 1265 (#13) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1235 (#25) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 1107 (#66) HCA +75 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → +14.5 (#48) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → +12.0 (#186) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.826 (#226) -
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.176 (#499) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +22.7 More → 0.932 (#175) AdjNet +22.7
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -19.9 More → 0.091 (#600) AdjNet -19.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +22.9 More → 0.937 (#176) AdjNet +22.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -19.5 More → 0.091 (#598) AdjNet -19.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 73.9 | AdjD 58.0 More → 0.809 (#160) AdjO 73.9 | AdjD 58.0
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 56.6 | AdjD 69.7 More → 0.233 (#602) AdjO 56.6 | AdjD 69.7
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 70.7 | AdjD 61.6 More → 0.696 (#89) AdjO 70.7 | AdjD 61.6
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 → 0.793 (#106) 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 → 0.785 (#102) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 104 | GP 20 More → 1187 (#54) RD 104 | GP 20

2018 Schedule & Results

Date Vs/At Opponent Result Score
2018-03-09 vs Eckerd W 57 - 54
2018-03-10 @ Union (TN) L 59 - 74

2018 Roster

No roster data available for this season.