North Florida
Model Outputs
2025-2026 latest available
No materialized model snapshot for 2018 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 → | 1032 (#171) | - |
| Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More → | 1024 (#202) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1110 (#83) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1056 (#180) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1019 (#253) | HCA +75 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +10.1 (#81) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +2.3 (#325) | HCA +3.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.831 (#221) | - |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.623 (#319) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.623 (#238) | NetEff +4.2 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.872 (#228) | AdjNet +16.7 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.744 (#299) | AdjNet +9.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.879 (#228) | AdjNet +16.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.746 (#305) | AdjNet +9.1 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.736 (#221) | AdjO 72.8 | AdjD 61.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.637 (#297) | AdjO 71.4 | AdjD 65.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.549 (#259) | AdjO 67.4 | AdjD 65.2 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.554 (#309) | 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. More → | 0.557 (#298) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1012 (#239) | RD 79 | GP 47 |
2018 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2018-03-09 | vs | Barton | W | 81 - 76 |
| 2018-03-10 | @ | Wingate | W | 78 - 75 |
| 2018-03-12 | @ | Carson-Newman | L | 71 - 75 |
2018 Roster
No roster data available for this season.