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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 2017 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

2017 Schedule & Results

Date Vs/At Opponent Result Score
2016-11-15 vs Allegheny W 97 - 79
2016-11-18 vs Scranton L 36 - 70
2016-11-19 vs SUNY New Paltz L 44 - 56
2016-11-21 vs Denison W 65 - 59
2016-11-28 @ Oberlin W 67 - 42
2016-12-03 @ Wilmington (OH) L 56 - 76
2016-12-07 vs John Carroll W 86 - 76
2016-12-10 @ Ohio Northern L 54 - 63
2016-12-20 vs Heidelberg W 83 - 68
2016-12-29 vs Brescia W 63 - 40
2016-12-30 @ Wittenberg W 70 - 37
2017-01-04 @ Baldwin Wallace W 72 - 62
2017-01-07 @ Otterbein L 57 - 67
2017-01-11 vs Marietta L 75 - 80
2017-01-14 vs Capital W 61 - 42
2017-01-18 @ Muskingum L 83 - 88
2017-01-21 vs Ohio Northern L 60 - 73
2017-01-25 @ John Carroll L 75 - 81
2017-01-28 vs Wilmington (OH) L 35 - 56
2017-02-01 @ Marietta L 62 - 76
2017-02-04 @ Capital W 62 - 60
2017-02-08 vs Muskingum W 81 - 72
2017-02-11 @ Heidelberg W 84 - 83
2017-02-15 vs Baldwin Wallace L 51 - 81
2017-02-18 vs Otterbein L 59 - 89
2017-02-20 vs Heidelberg W 65 - 60
2017-02-21 @ Wilmington (OH) L 52 - 67

2017 Roster

No roster data available for this season.