Sports advanced tier advanced Reliability 75/100

Weight Class Migration

Quantifying the risk of fighters changing weight.

38% Win Rate on Divisional Debut

Overview

Analyzes the historical performance of MMA fighters when they move to a new weight class. This pillar assesses the trade-offs between size, power, speed, and durability to find an edge in uncertain matchups.

What It Does

This pillar evaluates a fighter's chances in a new division by comparing their profile to a database of historical weight class migrants. It models the success rates for moving up versus moving down, factoring in age, career trajectory, and the typical performance drop-off or gain. The analysis synthesizes quantitative fight data with qualitative assessments of physical changes.

Why It Matters

The market often misprices fighters in their divisional debut, relying on hype or outdated perceptions. This pillar provides a data-driven reality check, identifying overvalued favorites who may struggle with new physical realities and undervalued underdogs poised to exploit them.

How It Works

First, the system identifies any fighter competing in a new weight class. It then pulls historical data on all fighters who made a similar move in the last 10 years, establishing a performance baseline. Finally, it adjusts this baseline using fighter-specific variables like age, recent win-loss record, and reported body composition changes to generate a predictive score.

Methodology

The core calculation is a Migration Performance Score (MPS). MPS is a weighted average of: Historical Win Rate for the specific migration type (e.g., Flyweight to Bantamweight), the fighter's Performance Trajectory Score (last 5 fights), an Age-Related Performance Modifier, and a qualitative Physicality Score (0-5 scale based on visual assessment from weigh-ins and camp reports). The lookback window for historical data is 10 years of UFC events.

Edge & Advantage

This pillar provides a statistical counter-narrative to emotional market sentiment, systematically identifying fighters whose odds do not reflect the historical risks of changing divisions.

Key Indicators

  • Historical Migration Success Rate

    high

    The win percentage of all past fighters making the same specific weight class jump.

  • Performance Trajectory

    high

    The fighter's momentum and quality of competition leading up to the class change.

  • Physicality Score

    medium

    A qualitative assessment of the fighter's new physique, noting changes in muscle mass and conditioning.

  • Age Factor

    low

    Older fighters historically struggle more with significant body composition changes and new divisions.

Data Sources

  • Provides official fight results, statistics, and fighter career histories.

  • Crowdsourced fight data and records, useful for tracking fighter weight history across promotions.

  • Social Media & Camp Reports

    Qualitative data source for tracking a fighter's physical transformation and training camp progress.

Example Questions This Pillar Answers

  • Will Jon Jones win his first fight in the UFC Heavyweight division?
  • Will a former champion moving down in weight win their next fight?
  • Will a fighter moving up on short notice win against an established divisional opponent?

Tags

ufc mma weight class fighter analysis combat sports matchup

Use Weight Class Migration on a real market

Run this analytical framework on any Polymarket or Kalshi event contract.

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