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Horse Racing

Examining Numerology in Horse Racing: Results from Recent Races

A look into the recent public verification of numerology in horse racing reveals mixed outcomes across three major races.

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Examining Numerology in Horse Racing: Results from Recent Races

Mizuki, a dedicated Zi Wei Dou Shu therapist and numerology researcher of horse racing, embarked on a recent validation journey on Sunday, October 18th, across three races, including the prestigious Shuka Sho (G1).

The selected venues for these races included Kyoto, Tokyo, and Niigata, with a total of 40 horses in action. Mizuki identified eight horses where the jockey's numerology aligned with the particular numbers of that race day.

Methodology Explained

Consistent with past practices, Mizuki's selection criteria deliberately excluded factors such as popularity and betting odds. Instead, she focused solely on three significant numeric elements:

  • Universal Number (UN) assigned to the race day
  • Jockey's Life Path Number (LP)
  • Jockey's Personal Year (PY)

Each of the eight horses selected received a small wager of 100 yen for both winning and placing, resulting in a total investment of 1,600 yen. Let's delve into the outcomes of the races.

Race Results Analysis

Kyoto - Shuka Sho (G1)

In this race featuring 17 competitors, three horses matched the numerological criteria:

  • Horse 5: Taisei Borg, Jockey: Junya Nishimura - LP/PY Both matched - Finished 10th
  • Horse 12: Canal Saint-Martin, Jockey: Mirai Iwata - LP matched - Finished 13th
  • Horse 15: Festival Hill, Jockey: Shun Hamanaka - PY matched - Finished 7th

Unfortunately, none of them placed, with Taisei Borg, who had both LP and PY aligned, finishing in 10th place. This reiterated the need for caution; matching both numbers does not guarantee success.

Tokyo - Brazil Cup (L)

Moving on to the Tokyo race, which had 13 entrants, again, three horses were identified:

  • Horse 2: Maple Ridge, Jockey: Katsuma Sameshima - PY matched - Finished 11th
  • Horse 5: Pika Pika Thunder, Jockey: Shu Ishibashi - LP matched - Finished 12th
  • Horse 12: Ritual, Jockey: Yoshihito Nagaoka - LP matched - Finished 9th

Similar to the previous race, none made it into the placing zone with all three finishing 9th or lower. This highlighted the differing conditions despite both races sharing the same UN of '2'.

Niigata - Niigata Himba Stakes (L)

In the final race at Niigata with 10 horses, only two matched numerology:

  • Horse 6: Perfume Scent, Jockey: Kenichi Ikezoe - LP matched - Finished 7th
  • Horse 9: Fleming Hoop, Jockey: M. Demuro - LP matched - Finished 10th

Neither horse managed to place, indicating a consistent trend across all races.

Summary of Findings

When assessing the results across these three races:

  • Total Races: 3
  • Total Horses: 40
  • Horses Matching Numerology: 8
  • Horses Finishing in the Place Zone: 0

Mizuki's total wager of 1,600 yen did not yield any returns, marking a complete loss. However, this provides crucial data for analysis moving forward.

Performance of Non-Matching Horses

Interestingly, further analysis reveals how horses that did not align with the numerological criteria performed. Comparing the groups provided noteworthy insights:

  • Matched Numerology: 8 horses - 0 in top 3
  • Did Not Match: 32 horses - 9 in top 3

This indicates that non-matching horses had a success rate in the top three of about 28.1%. These findings call for a deeper investigation into the effectiveness of numerology in forecasting race outcomes.

Insights and Future Research

Understanding the results of these recent races continues to be an intriguing journey. Mizuki remains keen to document not just placing success but also factors such as popularity and odds for future research. The question remains—does numerology have any predictive power in horse racing, or are the results merely coincidental?

As Mizuki prepares for subsequent analytical pursuits, she appreciates the experiment's unfolding drama, hopeful for richer insights in upcoming events. The research will persist in exploring the delicate balance between data-driven selection and the unpredictable nature of horse racing. Stay tuned for what comes next!