Performance Review: 5-year-old Horses for the 2023-24 Season.

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As we delve into the detailed analysis of the performance of 5-year-old show jumping horses for the 2023/24 season, we embark on a journey to uncover these young equine athletes' remarkable achievements, challenges, and potential. Show jumping is a sport that requires precision, agility, and a strong bond between horse and rider; evaluating performance is a complex and fascinating endeavour.

In this comprehensive review, we will explore in-depth performance analysis, statistics, and key performance indicators that shed light on the progress and capabilities of these promising 5-year-old horses. Each jump, each competition, and each rider-horse partnership contributes to a rich tapestry of data that can unveil trends, strengths, and areas for improvement.

By meticulously examining performance metrics such as clear rounds percentage, average jump height cleared, speed, agility, and consistency, we aim to provide a nuanced understanding of the performance landscape for 5-year-old show jumping horses in the 2023/24 season. By identifying patterns, outliers, and correlations within the data, we can glean insights that inform training strategies, breeding decisions, and competition tactics.

Unlock the power of data with Equine Science New Zealand! Elevate your horse's performance with our customized individual horse performance reports tailored to your needs. Gain valuable insights and maximize your equine athlete's potential with precision and expertise. Request your personalized report today and experience the difference with Equine Science New Zealand. Contact office@equinescience.co.nz to request a report or for more information.

Overview Metrics.

During the season, 68 horses started in the five-year-old class, of which 51 (75%) obtained any points. Horses had, on average, four starts in the class with an average of 1.5 clears. All 68 horses had a sire recorded; 62 horses had a dam sire and breeder recorded. 42 events took place that held a 5-year-old class.

Clear Rate (%)

The population's clear rate was 33%. Five horses had a clear rate of 100%, and 24 had a clear rate of 0%.

Clear Rate by Location

(SI = South Island, UNI = Upper North Island, LNI = Lower North Island)

Average Faults

The average fault for the 5-year-old population was 6.2; on average, these horses had 6.2 faults per start.

Average Faults by Number of Starts

This plot shows that there is no relationship between a horse's number of starts in the class and its average faults. The peak faults accumulated are at the median number of starts (2-4 starts) and tapers lower with more starts.

Location

The location is divided into South Island, Lower North Island, and Upper North Island. Of the starters, 16 were based in the South Island, 19 in the Upper North Island and 33 in the Lower North Island. This is the location where the horse is based/trained.

Breeding

The most prominent sire was Chacco Silver, with six ( %) progeny represented, followed by Corofino II and Euro Sport Centavos, each with three progeny.

Lansing was the most represented dam sire, with three progeny and several sires with two progeny.

New Zealand Performance Horses (NZPH) was the most represented breeder, with five progeny represented, followed by Fernhill Stud with four.

The gender composition was 33 geldings, 32 mares and three stallions.

Change from 2022/23 Season

  • 65 Horses (Increase of 4%)

  • Clear Rate 46% (Decrease of 13%)

  • Average Starts = Six (Down two starts/horse)

Custom Reports

Reports for all individual horses that started in the five-year-old class are available with further in-depth information and comparisons to the population. Contact office@equinescience.co.nz to request a report or for more information.

Series Points Compared to Clear Rate

This plot shows a moderate positive linear relationship of clear rate to the series point. Thus, series points represent clear jumping, but the relationship is moderate.

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Performance Review: 6-year-old Horses for the 2023-24 Season.

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Enhancing Sport Horse Training Through Data-Driven Insights