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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 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 → 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

2016 Schedule & Results

Date Vs/At Opponent Result Score
2015-11-15 @ Kalamazoo - Preview
2015-11-20 vs Elmira - Preview
2015-11-21 vs Waynesburg W 87 - 57
2015-11-24 @ La Roche L 56 - 68
2015-12-02 @ Baldwin Wallace L 46 - 53
2015-12-05 vs Capital - Preview
2015-12-09 @ Heidelberg - Preview
2015-12-12 @ Otterbein W 76 - 72
2015-12-18 vs Defiance - Preview
2015-12-29 @ Meredith W 77 - 62
2015-12-30 vs Babson - Preview
2016-01-06 vs Ohio Northern L 53 - 66
2016-01-09 vs Wilmington (OH) W 93 - 60
2016-01-13 @ Muskingum - Preview
2016-01-16 vs John Carroll L 83 - 90
2016-01-20 @ Marietta W 64 - 61
2016-01-23 vs Otterbein W 68 - 60
2016-01-27 vs Baldwin Wallace - Preview
2016-01-30 @ Capital - Preview
2016-02-06 @ Ohio Northern L 51 - 71
2016-02-10 vs Marietta W 82 - 67
2016-02-13 vs Heidelberg W 75 - 63
2016-02-15 vs Muskingum W 79 - 67
2016-02-17 @ John Carroll W 72 - 46
2016-02-20 @ Wilmington (OH) L 54 - 67
2016-02-25 vs Capital W 81 - 72
2016-02-27 vs Baldwin Wallace W 67 - 57
2016-03-04 @ Guilford L 57 - 61

2016 Roster

No roster data available for this season.