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St. Mary (NE)

Also known as: St. Mary (NE)
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 → 959 (#390) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 932 (#386) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 971 (#523) HCA +75 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → -19.4 (#593) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.002 (#673) -
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.000 (#730) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -21.9 More → 0.074 (#607) AdjNet -21.9
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -49.4 More → 0.003 (#718) AdjNet -49.4
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -20.6 More → 0.076 (#607) AdjNet -20.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -49.4 More → 0.002 (#721) AdjNet -49.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 61.0 | AdjD 77.7 More → 0.180 (#633) AdjO 61.0 | AdjD 77.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 52.5 | AdjD 88.3 More → 0.037 (#728) AdjO 52.5 | AdjD 88.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 58.9 | AdjD 67.4 More → 0.315 (#605) AdjO 58.9 | AdjD 67.4
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 → 0.182 (#610) 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 → 0.201 (#603) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 296 | GP 2 More → 879 (#402) RD 296 | GP 2

2016 Schedule & Results

Date Vs/At Opponent Result Score
2015-11-20 @ Missouri S&T - Preview
2015-11-21 vs LeMoyne-Owen - Preview
2015-11-27 @ Rockhurst - Preview
2015-11-30 @ Northwest Mo. St. - Preview
2015-12-30 @ Pittsburg St. - Preview
2015-12-31 @ Missouri Western L 44 - 108

2016 Roster

No roster data available for this season.