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Hendrix

Season:
Also known as: Hendrix
Program History

Model Outputs

2025-2026
Catalog

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 → 1149 (#26) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 994 (#329) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1008 (#376) HCA +62 elo
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1006 (#395) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -0.5 (#199) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → -6.7 (#452) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → -18.4 (#589) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.104 (#630) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -4.9 More → 0.338 (#406) NetEff -4.9
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -20.3 More → 0.088 (#553) AdjNet -20.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -21.1 More → 0.076 (#554) AdjNet -21.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 57.6 | AdjD 70.6 More → 0.235 (#552) AdjO 57.6 | AdjD 70.6
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 61.0 | AdjD 58.3 More → 0.560 (#286) AdjO 61.0 | AdjD 58.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 59.9 | AdjD 63.0 More → 0.430 (#505) AdjO 59.9 | AdjD 63.0
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 → 0.336 (#503) 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 → 0.309 (#520) 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 → 0.363 (#494) 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 → 0.308 (#527) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 95 | GP 22 More → 1014 (#286) RD 95 | GP 22
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 350 | GP 1 More → 972 (#356) RD 350 | GP 1

2026 Schedule & Results

No games found for this season.

2026 Roster

No roster data available for this season.