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Mission U.

Also known as: Mission U.
Program History

Model Outputs

2025-2026 latest available
Catalog

No materialized model snapshot for 2019 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 → 976 (#289) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1182 (#63) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1023 (#279) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → +19.6 (#32) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +9.9 (#211) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.874 (#257) -
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.728 (#345) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +13.0 More → 0.817 (#261) AdjNet +13.0
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +11.9 More → 0.797 (#276) AdjNet +11.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +12.7 More → 0.818 (#262) AdjNet +12.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +11.7 More → 0.799 (#273) AdjNet +11.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 67.3 | AdjD 59.4 More → 0.672 (#258) AdjO 67.3 | AdjD 59.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 51.5 | AdjD 44.1 More → 0.663 (#267) AdjO 51.5 | AdjD 44.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 67.2 | AdjD 57.2 More → 0.713 (#113) AdjO 67.2 | AdjD 57.2
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 → 0.745 (#170) 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 → 0.738 (#172) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 101 | GP 22 More → 1075 (#217) RD 101 | GP 22

2019 Schedule & Results

Date Vs/At Opponent Result Score
2018-11-16 @ Waynesburg W 76 - 40
2018-11-17 @ Penn St.-Behrend W 74 - 43
2018-11-20 vs Ohio Wesleyan - Preview
2018-11-25 @ Kenyon - Preview
2018-11-28 vs Carnegie Mellon - Preview
2018-12-01 vs Ohio Northern - Preview
2018-12-05 @ John Carroll L 58 - 61
2018-12-08 vs Wilmington (OH) - Preview
2018-12-15 vs Heidelberg - Preview
2018-12-19 @ Baldwin Wallace - Preview
2018-12-29 vs Wash. & Lee W 86 - 73
2018-12-30 @ Farmingdale St. W 78 - 67
2019-01-05 vs Capital - Preview
2019-01-09 @ Muskingum W 70 - 55
2019-01-12 @ Otterbein - Preview
2019-01-16 vs Marietta - Preview
2019-01-18 @ Wilmington (OH) L 59 - 66
2019-01-23 vs John Carroll - Preview
2019-01-26 @ Ohio Northern - Preview
2019-01-31 vs Muskingum - Preview
2019-02-02 vs Otterbein - Preview
2019-02-06 @ Marietta - Preview
2019-02-09 @ Heidelberg - Preview
2019-02-13 vs Baldwin Wallace - Preview
2019-02-16 @ Capital - Preview
2019-02-19 @ Marietta - Preview

2019 Roster

No roster data available for this season.