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Xavier

Season:
Also known as: Xavier Musketeers, Xavier
Program History

Model Outputs

2025-2026 latest available
Catalog

No materialized model snapshot for 1986 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 → 966 (#207) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1017 (#163) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +109 elo More → 997 (#347) HCA +109 elo
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +109 elo More → 988 (#530) HCA +109 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.2 More → +6.9 (#94) HCA +2.2
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.5 More → +20.1 (#85) HCA +2.5
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.5 More → -2.9 (#400) HCA +2.5
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.419 (#225) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -1.4 More → 0.469 (#180) NetEff -1.4
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +9.7 More → 0.753 (#92) AdjNet +9.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +9.8 More → 0.757 (#92) AdjNet +9.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 83.7 | AdjD 76.5 More → 0.658 (#92) AdjO 83.7 | AdjD 76.5
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 81.0 | AdjD 80.1 More → 0.522 (#209) AdjO 81.0 | AdjD 80.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 73.3 | AdjD 73.8 More → 0.489 (#290) AdjO 73.3 | AdjD 73.8
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 → 0.811 (#117) Blend of Elo, BT, Margin, PythLog, PtsOD
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 → 0.441 (#377) 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 → 0.762 (#134) 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 → 0.449 (#368) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 131 | GP 33 More → 1086 (#150) RD 131 | GP 33
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 350 | GP 1 More → 894 (#513) RD 350 | GP 1

1986 Schedule & Results

No games found for this season.

1986 Roster

No roster data available for this season.