Victoria Mile (G1) - Data Analysis
Champion filly decider of spring season in which dark horses also warrant attention
In the 2020 Victoria Mile, race favorite Almond Eye (win odds of 1.4) secured a perfect victory, finishing four lengths ahead of runner-up Sound Chiara. However, runners backed as 5th favorite or lower have triumphed in the six consecutive years from 2014 to 2019. The Victoria Mile is essentially a race that is known for upset victories, as evidenced by the Trifecta payout of JPY20,705,810 in 2015, which marked a record high for JRA graded races. Let’s now analyze some features shared by successful runners in this race based on results over the last 10 years.
Watch finish in G1 race since previous year
Of the 30 Top 3 finishers over the last 10 years, 24 had experience of finishing in the Top 6 of “a JRA G1 race since the previous year.” Conversely, runners without such experience struggled with a Top 3 ratio of 7.6%. We should therefore start by checking runners’ finishes in major races held since the previous year. [Table 1]
[Table 1] Performance by experience of finishing in Top 6 of “JRA G1 race since previous year” (last 10 years)
Experience |
Performance
[1st-2nd-3rd-4th or lower] |
Win ratio |
Top 2 ratio |
Top 3 ratio |
Yes |
10-7-7-73 |
10.3% |
17.5% |
24.7% |
No |
0-3-3-73 |
0% |
3.8% |
7.6% |
In addition, among runners without experience of finishing in the Top 6 of “a JRA G1 race since the previous year,” those without experience of finishing in the Top 7 of “the Hanshin Himba Stakes in the same year” achieved a Top 3 ratio of only 3.6%. This suggests we should lower our expectations of runners that have not finished in the Top 6 of a major race in the previous year or the same year, and that have also failed to rise to the top in the Hanshin Himba Stakes in the same year. [Table 2]
[Table 2] For runners without experience of finishing in Top 6 of “JRA G1 race since previous year,” performance by experience of finishing in Top 7 of “Hanshin Himba Stakes in same year” (last 10 years)
Experience |
Performance
[1st-2nd-3rd-4th or lower] |
Win ratio |
Top 2 ratio |
Top 3 ratio |
Yes |
0-2-2-19 |
0% |
8.7% |
17.4% |
No |
0-1-1-54 |
0% |
1.8% |
3.6% |
Target runners that have previously shown strong performance in Victoria Mile
Looking at performances in terms of finish in “the Victoria Mile of the previous year,” we find that runners that had finished in the “Top 8” of that race achieved a Top 3 ratio of 31.4%, a relatively strong outcome. In addition, nine of the 11 runners that had finished in the Top 3 of that race were backed by win odds of 10 or higher. In other words, among runners that have performed poorly recently, we should focus on runners that have finished in the Top 8 of “the Victoria Mile of the previous year.” [Table 3]
[Table 3] Performance by finish in Victoria Mile of previous year (last 10 years)
Finish |
Performance
[1st-2nd-3rd-4th or lower] |
Win ratio |
Top 2 ratio |
Top 3 ratio |
Top 8 |
4-4-3-24 |
11.4% |
22.9% |
31.4% |
9th or lower |
0-0-0-10 |
0% |
0% |
0% |
Did not run |
6-6-7-112 |
4.6% |
9.2% |
14.5% |
Strong performance by runners with shorter careers in recent years
Of the 12 Top 3 finishers in the last four years, nine had “13 or fewer” career starts. Conversely, runners with “14 or more” career starts struggled with a Top 3 ratio of 8.6%. Compared with the races up to 2016, runners with shorter careers have had an edge in recent years. [Table 4]
[Table 4] Performance by total career starts (last four years)
Total career starts |
Performance
[1st-2nd-3rd-4th or lower] |
Win ratio |
Top 2 ratio |
Top 3 ratio |
13 or fewer |
4-3-2-25 |
11.8% |
20.6% |
26.5% |
14 or more |
0-1-2-32 |
0% |
2.9% |
8.6% |
In addition, the three Top 3 finishers with “14 or more” career starts all had experience of finishing in the Top 5 of “the Hanshin Himba Stakes in the same year.” We should therefore lower our expectations of runners with “14 or more” career starts” except those that have performed strongly in the Hanshin Himba Stakes, which is a major prep race for the Victoria Mile. [Table 5]
[Table 5] Among runners with “14 or more” career starts, performance by experience of finishing in Top 5 of “Hanshin Himba Stakes in same year” (last four years)
Experience |
Performance
[1st-2nd-3rd-4th or lower] |
Win ratio |
Top 2 ratio |
Top 3 ratio |
Yes |
0-1-2-3 |
0% |
16.7% |
50.0% |
No |
0-0-0-29 |
0% |
0% |
0% |
Runners that delivered strong performance last time out in principle fare well
Of the 12 Top 3 finishers in the last four years, 10 had finished 1st in their previous race or 2nd or lower with a time difference of 0.4s or less with the winner in that race. Meanwhile, runners that had finished 2nd or lower in their previous race with a time difference of 0.5s or higher with the winner of that race, struggled with a Top 3 ratio of 8.0%. This suggests we should lower our expectations of runners coming straight from a major defeat. [Table 6]
[Table 6] Among runners that had contested a “domestic race” last time out, performance by finish in previous race and time difference with winner in that race (last four years)
Finish in previous race and time difference with winner in that race |
Performance
[1st-2nd-3rd-4th or lower] |
Win ratio |
Top 2 ratio |
Top 3 ratio |
1st, or 2nd or lower with time
difference with winner of 0.4s or less |
3-4-3-33 |
7.0% |
16.3% |
23.3% |
2nd or lower with time difference
with winner of 0.5s or more |
1-0-1-23 |
4.0% |
4.0% |
8.0% |
Incidentally, the two Top 3 finishers that had finished 2nd or lower in their previous race with a time difference of 0.5s or more with the winner of that race, both contested a G1 race in their previous race. Among runners that have suffered a major defeat in a G1 race last time out, we should consider the possibility of a rebound performance. [Table 7]
[Table 7] Among runners that had contested a “domestic race” in their previous race and finished 2nd or lower with a time difference of 0.5s or more with the winner in that race, performance by grade of previous race (last four years)
Grade of previous race |
Performance
[1st-2nd-3rd-4th or lower] |
Win ratio |
Top 2 ratio |
Top 3 ratio |
G1 |
1-0-1-2 |
25.0% |
25.0% |
50.0% |
Other than G1 |
0-0-0-21 |
0% |
0% |
0% |
Runners coming from small-field races in previous race perform poorly
All 12 Top 3 finishers in the last four years had entered a race contested by “13 or more” runners last time out. In other words, runners that have entered a race contested by “12 or fewer” runners last time out are unlikely to chase the top places. [Table 8]
[Table 8] Performance by number of runners in previous race (last four years)
Number of runners in previous race |
Performance
[1st-2nd-3rd-4th or lower] |
Win ratio |
Top 2 ratio |
Top 3 ratio |
12 or fewer |
0-0-0-13 |
0% |
0% |
0% |
13 or more |
4-4-4-44 |
7.1% |
14.3% |
21.4% |
Seek out the winner!
Favoritism in previous race is a key factor
The last 10 winners had all been backed as 5th favorite or higher in their previous race. When comparing the lead-up races of this year’s runners, we should check their favoritism in the previous race. Other shared features among the last 10 winners were that they had experience of finishing in the Top 5 of a “JRA G1 race since the previous year,” and had entered a race contested by “13 or more” runners in their previous race. We should therefore also focus on the trends outlined in Table 1 and Table 8. [Table 9]
[Table 9] Winners’ favoritism in previous race, highest finish in “JRA G1 race since previous year,” and number of runners in previous race (last 10 years)
Year |
Winner |
Favoritism in previous race |
Highest finish in
“JRA G1 race since previous year” |
Number of runners in previous race |
2011 |
Apapane |
4th favorite |
1st (2010, Shuka Sho, etc.) |
18 |
2012 |
Whale Capture |
2nd favorite |
2nd (2011, Oka Sho (Japanese 1000 Guineas)) |
16 |
2013 |
Verxina |
4th favorite |
2nd (2012, Queen Elizabeth II Cup, etc.) |
14 |
2014 |
Verxina |
5th favorite |
1st (2013, Victoria Mile) |
13 |
2015 |
Straight Girl |
1st favorite |
2nd (2014, Sprinters Stakes) |
18 |
2016 |
Straight Girl |
3rd favorite |
1st (2015, Victoria Mile, etc.) |
13 |
2017 |
Admire Lead |
3rd favorite |
5th (2016, Oka Sho (Japanese 1000 Guineas)) |
16 |
2018 |
Jour Polaire |
5th favorite |
3rd (2017, Victoria Mile) |
13 |
2019 |
Normcore |
1st favorite |
5th (2018, Queen Elizabeth II Cup) |
14 |
2020 |
Almond Eye |
1st favorite |
1st (2019, Tenno Sho (Autumn)) |
16 |
(Masaya Ibuki)
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