Data-driven evaluation of the Boston marathon qualifying times

Area of Science:

• Sports Science
• Biomechanical Analysis
• Running Performance

Background:

• The Boston Marathon implemented qualifying times in 1970 due to increasing popularity.
• Current qualifying times show a significant time difference between male and female age groups.
• This disparity implies women become relatively faster with age compared to men.

Purpose of the Study:

• To develop data-driven qualifying standards for the Boston Marathon.
• To ensure an equal proportion of male and female qualifiers across age categories.
• To re-evaluate gender-based time adjustments in marathon participation.

Main Methods:

• Analysis of Boston Marathon participant data.
• Development of a data-driven model to set equitable qualifying times.
• Exclusion of 75-79 and 80+ age groups due to insufficient data.

Main Results:

• Proposed new qualifying standards aim for equal gender representation in each age group.
• Women's qualifying times for the 65-69 and 70-74 age groups are 4-5 minutes slower.
• Women's qualifying times for other age groups are 0-3 minutes faster than current standards.

Conclusions:

• The current gender-based qualifying times in the Boston Marathon are not equitable across all age groups.
• A data-driven approach can establish fairer qualifying standards.
• Revised standards suggest faster times for younger women and slightly slower times for older women relative to current benchmarks.