The publication of the first article in the Fair Decathlon Model (FDM) series has already sparked an interesting discussion within the combined events community.
The Fair Decathlon Model (FDM) examines whether the current decathlon scoring tables are properly balanced. Using data from 21 seasons between 1985 and 2025, the model proposes revised scoring coefficients based on elite decathlete performances.
Rafał Snoch examines the five Day Two events through 100-point FDM-40N cohorts, revealing how technical failures, specialist strengths, exceptional performances and contrasting athlete populations shape the residuals behind the scoring model.
Rafał Snoch examines the five Day One events through 100-point FDM-40N cohorts, revealing how individual specialists, weak-event survivors and population patterns shape the residuals behind the scoring model.
As a supplement to the Fair Decathlon Model (FDM) series, we are publishing the complete event scoring table covering the full range from 100 to 1200 points.
This article asks whether the decathlon’s own performance data can provide enough information to calibrate a fair scoring system without relying primarily on elite athletes. Using 27, 741 complete decathlons—and a separate dataset excluding all