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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 2016 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

2016 Schedule & Results

Date Vs/At Opponent Result Score
2015-11-14 vs Ave Maria - Preview
2015-11-18 vs Palm Beach Atl. W 62 - 56
2015-11-21 @ Florida Tech - Preview
2015-11-24 @ Tampa - Preview
2015-11-27 vs P.R.-Mayaguez - Preview
2015-11-28 vs Sioux Falls - Preview
2015-12-02 vs Rollins L 54 - 63
2015-12-11 vs Flagler L 48 - 60
2015-12-17 @ Georgetown (KY) - Preview
2015-12-18 vs Findlay - Preview
2016-01-02 @ Nova Southeastern L 53 - 63
2016-01-06 vs Fla. Southern L 71 - 87
2016-01-09 @ Barry L 65 - 79
2016-01-13 @ Saint Leo W 68 - 50
2016-01-16 vs Lynn W 66 - 55
2016-01-20 vs Eckerd L 58 - 70
2016-01-23 vs Florida Tech L 35 - 59
2016-01-27 @ Palm Beach Atl. - Preview
2016-01-30 @ Rollins L 57 - 71
2016-02-03 vs Tampa L 50 - 61
2016-02-10 @ Eckerd L 51 - 60
2016-02-13 vs Saint Leo - Preview
2016-02-17 vs Nova Southeastern L 52 - 75
2016-02-20 @ Fla. Southern L 56 - 67
2016-02-24 vs Barry L 71 - 77
2016-02-27 @ Lynn - Preview
2016-03-03 @ P.R.-Rio Piedras W 59 - 45
2016-03-05 @ P.R.-Bayamon L 44 - 58

2016 Roster

No roster data available for this season.