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Concordia (NE)

Also known as: Concordia (NE)
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 → 908 (#396) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 908 (#458) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 920 (#591) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -2.4 (#221) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → -8.3 (#480) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.996 (#141) -
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.246 (#563) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +19.7 More → 0.907 (#205) AdjNet +19.7
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -8.1 More → 0.284 (#457) AdjNet -8.1
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +18.9 More → 0.906 (#209) AdjNet +18.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -8.3 More → 0.273 (#456) AdjNet -8.3
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 81.2 | AdjD 65.0 More → 0.813 (#163) AdjO 81.2 | AdjD 65.0
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 62.3 | AdjD 68.2 More → 0.370 (#461) AdjO 62.3 | AdjD 68.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 59.2 | AdjD 65.1 More → 0.371 (#564) AdjO 59.2 | AdjD 65.1
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 → 0.262 (#557) 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 → 0.280 (#547) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 77 | GP 53 More → 875 (#439) RD 77 | GP 53

2018 Schedule & Results

Date Vs/At Opponent Result Score
2017-11-10 vs UTRGV L 49 - 67

2018 Roster

No roster data available for this season.