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Ozarks (MO)

Also known as: Ozarks (MO)
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 → 927 (#372) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 914 (#448) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 958 (#553) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -3.5 (#231) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → -5.2 (#433) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.983 (#161) -
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.367 (#511) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +15.7 More → 0.859 (#235) AdjNet +15.7
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -6.9 More → 0.312 (#444) AdjNet -6.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +15.2 More → 0.860 (#237) AdjNet +15.2
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -7.3 More → 0.298 (#446) AdjNet -7.3
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 68.6 | AdjD 58.5 More → 0.714 (#226) AdjO 68.6 | AdjD 58.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 61.3 | AdjD 66.2 More → 0.390 (#448) AdjO 61.3 | AdjD 66.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 64.1 | AdjD 66.3 More → 0.450 (#482) AdjO 64.1 | AdjD 66.3
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 → 0.356 (#491) 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 → 0.374 (#481) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 94 | GP 21 More → 921 (#394) RD 94 | GP 21

2016 Schedule & Results

Date Vs/At Opponent Result Score
2015-11-13 vs S'western Adventist - Preview
2015-11-20 @ Bacone - Preview
2015-11-23 @ Williams Baptist L 69 - 72
2015-12-01 vs Bacone - Preview
2015-12-05 vs Texas-Dallas L 57 - 67
2016-01-02 vs Sul Ross St. W 55 - 54
2016-01-04 vs Howard Payne - Preview
2016-01-07 @ McMurry W 61 - 58
2016-01-09 @ Hardin-Simmons - Preview
2016-01-14 vs LeTourneau L 56 - 68
2016-01-16 vs UT Tyler L 60 - 107
2016-01-18 @ Mary Hardin-Baylor L 45 - 65
2016-01-21 @ Louisiana Col. L 64 - 98
2016-01-23 @ East Tex. Baptist W 58 - 54
2016-01-25 vs Dallas Christian - Preview
2016-01-30 @ Belhaven - Preview
2016-02-01 @ Texas-Dallas L 74 - 80
2016-02-04 vs Belhaven W 65 - 63
2016-02-08 @ Concordia (TX) L 58 - 70
2016-02-11 vs East Tex. Baptist L 50 - 63
2016-02-13 vs Louisiana Col. W 83 - 82
2016-02-18 @ UT Tyler L 67 - 89
2016-02-20 @ LeTourneau L 75 - 84

2016 Roster

No roster data available for this season.