Unravelling the speed-going relationship: A proof of concept study from British turf flat and jump race meetings.

The research article examines the impact of ground condition (‘going’) on the maximum speed of racehorses in British turf flat and jump races. It introduces a new method of measuring ground condition using a two-phase polynomial model for cushioning, finding that it can better predict performance outcomes than existing methods.

Understanding ‘Going’ and Its Impact

• The term ‘going’ refers to the condition of the ground that a racehorse runs on. The correct assessment of the ‘going’ is crucial for several reasons, including determining whether a horse should run or not.
• The ‘going’ is typically determined by the clerk of the course on the day of the race and is reported to the relevant stakeholders to aid decision-making processes. Analysts also assess the ‘going’ during a race meeting using normalized winning times from each race to provide a more accurate measure of conditions.
• Differences in ‘going’ assessments occur regularly, potentially affecting race results and decisions. This study aims to improve the accuracy of these assessments.

A New Method of Measuring ‘Going’

• The scientists compared measurements and performance data from 25 flat and 25 jump race meetings using linear and nonlinear regression models.
• They found a continuous two-phase polynomial model that measures cushioning to be the best predictor of performance going, with an adjusted r score of 0.819.
• The data from the races suggest a performance limit at maximal galloping speeds above a cushioning value of about 10 kN. This limit could be due to horses altering their limb contact timings to manage the increased limb forces on firmer ground.

Significance and Future Directions

• This new cushioning-based measurement can give a more accurate representation of the forces a horse will experience during a race. This could be extremely valuable in assessing the ‘going’ condition more precisely, leading to more informed decisions.
• Although the data comes from a limited sample size and geographic area, the researchers believe that expanding this methodology to include more races and different geographic regions could confirm the 10kN performance limit they identified. They suggest that future research could help to refine and validate this new method for determining racecourse ‘going’ conditions.