2019 News

December 3, 2019

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Hanshin Juvenile Fillies (G1) - Data Analysis

Champion 2-year-old filly decider that rarely delivers upsets
Trifecta payouts for the Hanshin Juvenile Fillies have been unimpressive in recent years (JPY4,250 in 2016, JPY8,560 yen in 2017, and JPY5,020 yen in 2018). Looking back at the 15 races since 2004, when Trifecta bets were introduced, payouts have exceeded JPY1 million only once (2012) and surpassed JPY100,000 only twice (2012 and 2005). This year again, the big question is whether highly favored runners will befittingly dominate the top places, or whether a dark horse will take us all by surprise, resulting in a higher payout. Let’s now analyze some features shared by successful runners in this race based on results over the last 10 years.

Focus on runners with stable race record
Of the 30 Top 3 finishers over the last 10 years, 26 had no experience of being beaten to 4th or lower in a “JRA race.” Conversely, runners with such experience struggled with a Top 3 ratio of 4.0%. When looking at the track record of this year’s runners, we should raise our expectations of runners that have not been beaten to 4th or lower. [Table 1]

[Table 1] Performance by experience of being beaten to 4th or lower in “JRA race” (last 10 years)
Experience Performance
[1st-2nd-3rd-4th or lower]
Win
ratio
Top 2
ratio
Top 3
ratio
Yes 0-3-1-95 0% 3.0% 4.0%
No 10-7-9-55 12.3% 21.0% 32.1%

Watch runners that have won a race over a mile or longer
Of the 30 Top 3 finishers over the last 10 years, 25 had experience of winning a “1,600m+ JRA race.” Conversely, runners without such experience struggled with a Top 3 ratio of 5.3%. In other words, we should lower our expectations of runners that have only won races of 1,600m or less. [Table 2]

[Table 2] Performance by experience of winning “1,600m+ JRA race” (last 10 years)
Winning
experience
Performance
[1st-2nd-3rd-4th or lower]
Win
ratio
Top 2
ratio
Top 3
ratio
Yes 10-8-7-61 11.6% 20.9% 29.1%
No 0-2-3-89 0% 2.1% 5.3%

Runners that have contested longer races in previous outing perform better
If we analyze performance by distance of the previous race (and exclude the only runner that contested a 2,000m race last time out), the groups that produced the highest Win ratios, Top 2 ratios, and Top 3 ratios were, in descending order, runners that contested an 1,800, 1,600m, 1,400m, and 1,200m race in their previous outing. When comparing the lead-up races of this year’s runners, we should raise our expectations of runners that have contested longer races in their previous outing. [Table 3]

[Table 3] Performance by distance of previous race (last 10 years)
Distance of
previous race
Performance
[1st-2nd-3rd-4th or lower]
Win
ratio
Top 2
ratio
Top 3
ratio
1,200m 0-0-0-18 0% 0% 0%
1,400m 3-4-5-64 3.9% 9.2% 15.8%
1,600m 5-5-5-60 6.7% 13.3% 20.0%
1,800m 2-1-0-7 20.0% 30.0% 30.0%
2,000m 0-0-0-1 0% 0% 0%

Runners competing after two weeks or less since previous race struggle
Of the 30 Top 3 finishers over the last 10 years, 27 competed after “3 weeks or more” since their previous race. Conversely, runners that competed after “2 weeks or less” since their previous race struggled with a Top 3 ratio of 6.4%. This suggests we should not expect too much from runners that compete after short time intervals since their previous race. [Table 4]

[Table 4] Performance by time interval since previous race (last 10 years)
Time interval since
previous race
Performance
[1st-2nd-3rd-4th or lower]
Win
ratio
Top 2
ratio
Top 3
ratio
2 weeks or less 1-1-1-44 2.1% 4.3% 6.4%
3 weeks or more 9-9-9-106 6.8% 13.5% 20.3%

Runners with two or three career starts have performed well in recent years
Of the 18 Top 3 finishers over the last six years, 17 had “2 or 3” career starts. Up to 2012, runners with “1” or “4 or more” career starts also enjoyed success. However, if trends in recent years are anything to go by, we should focus on runners with “2 or 3” career starts. [Table 5]

[Table 5] Performance by total career starts (last 6 years)
Total career
starts
Performance
[1st-2nd-3rd-4th or lower]
Win
ratio
Top 2
ratio
Top 3
ratio
1 0-0-0-8 0% 0% 0%
2 or 3 6-5-6-47 9.4% 17.2% 26.6%
4 or more 0-1-0-35 0% 2.8% 2.8%

Seek out the winner!
Do not overlook favoritism in previous race

The last six winners had all been backed as “2nd favorite or higher” in their previous race. When comparing the lead-up races of this year’s runners, we should also check favoritism in their previous races. Other features shared by the six recent winners were that they had no experience of being beaten to 3rd or lower in a “JRA race,” that they had experience of winning a “1,600m+ JRA race,” that the distance of their previous race was 1,400m+, and that they had 2 or 3 career starts. In other words, we should also take into consideration the trends shown in Table 1, 2, 3, and 5. [Table 6]

[Table 6] Winners’ “favoritism in previous race,” lowest finish in “JRA race,” highest finish in “1,600m+ JRA race,” distance of previous race, and total career starts (last 6 years)
Year Winner Favoritism
in previous
race
Lowest finish in
“JRA race”
Highest finish in
“1,600m+ JRA race”
Distance of
previous
race
Total
career
starts
2013 Red Reveur 2nd 1st (2 starts, 2 wins) 1st (Sapporo Nisai Stakes, etc.) 1,800m 2
2014 Shonan Adela 1st 2nd (2yo newcomer) 1st (2yo maiden) 1,400m 3
2015 Major Emblem 1st 2nd (Artemis Stakes) 1st (Aster Sho, etc.) 1,600m 3
2016 Soul Stirring 2nd 1st (2 starts, 2 wins) 1st (Ivy Stakes, etc.) 1,800m 2
2017 Lucky Lilac 2nd 1st (2 starts, 2 wins) 1st (Artemis Stakes, etc.) 1,600m 2
2018 Danon Fantasy 1st 2nd (2yo newcomer) 1st (2yo maiden) 1,400m 3

 

(Masaya Ibuki)

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