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Wilmington (DE)

Also known as: Wilmington (DE)
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 → 951 (#331) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 898 (#471) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 904 (#608) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -9.7 (#286) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → -11.1 (#509) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 1.000 (#97) -
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.148 (#611) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +12.6 More → 0.809 (#265) AdjNet +12.6
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -6.7 More → 0.316 (#441) AdjNet -6.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +11.8 More → 0.809 (#266) AdjNet +11.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -6.9 More → 0.306 (#441) AdjNet -6.9
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 57.8 | AdjD 55.8 More → 0.544 (#337) AdjO 57.8 | AdjD 55.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 60.9 | AdjD 65.3 More → 0.402 (#439) AdjO 60.9 | AdjD 65.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 57.9 | AdjD 65.9 More → 0.327 (#588) AdjO 57.9 | AdjD 65.9
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 → 0.242 (#571) 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 → 0.250 (#571) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 105 | GP 22 More → 871 (#442) RD 105 | GP 22

2017 Schedule & Results

Date Vs/At Opponent Result Score
2016-11-15 vs Denison W 59 - 56
2016-11-18 vs Olivet W 79 - 51
2016-11-19 vs Carnegie Mellon L 56 - 63
2016-11-29 @ Earlham W 81 - 69
2016-12-03 vs Mount Union W 76 - 56
2016-12-07 @ Ohio Northern L 51 - 78
2016-12-10 vs Heidelberg W 64 - 49
2016-12-17 vs Marietta W 90 - 60
2016-12-20 vs Alma W 72 - 52
2016-12-21 vs Thomas More L 59 - 61
2016-12-30 vs Ill. Wesleyan L 78 - 83
2017-01-04 @ Capital L 43 - 57
2017-01-07 vs Baldwin Wallace W 59 - 53
2017-01-11 @ Muskingum W 67 - 60
2017-01-14 vs John Carroll W 80 - 60
2017-01-18 @ Otterbein W 62 - 51
2017-01-21 @ Heidelberg W 77 - 64
2017-01-25 vs Ohio Northern L 61 - 62
2017-01-28 @ Mount Union W 56 - 35
2017-02-01 vs Muskingum W 80 - 76
2017-02-04 @ John Carroll L 71 - 74
2017-02-08 vs Otterbein W 66 - 58
2017-02-11 @ Marietta L 42 - 57
2017-02-15 vs Capital W 60 - 53
2017-02-18 @ Baldwin Wallace L 54 - 61
2017-02-21 vs Mount Union W 67 - 52
2017-02-23 @ Baldwin Wallace W 62 - 59
2017-02-25 @ Ohio Northern L 55 - 70

2017 Roster

No roster data available for this season.