Empirical Rule · Horse Profile
Empirical Rule · Career Stats
Earnings $0
Avg Odds 0
4 0-0-0
Career
4 0-0-0
Last 10
4 0-0-0
12 Mnths
0%
Wins
0%
Places
-100%
ROI
-
Win Range
3 0-0-0
1st Up
1 0-0-0
2nd Up
0 0-0-0
Turf
0 0-0-0
Synthtc
0 0-0-0
Firm
0 0-0-0
Good
0 0-0-0
Soft
0 0-0-0
Heavy
Empirical Rule Career Summary
Empirical Rule is a 3yo b unknown from Japan trained by Masashi Fukayama, who is based at . It is sired by the stallion Dunkirk out of the dam South Empirical.
Empirical Rule is yet to break its maiden status, having not won a race yet from 4 attempts. During its most recent race at Ohi on 25th Apr 2024, Empirical Rule was ridden by Yuji Tannai and finished 6th, behind the winner .
Empirical Rule is yet to break its maiden status, having not won a race yet from 4 attempts. During its most recent race at Ohi on 25th Apr 2024, Empirical Rule was ridden by Yuji Tannai and finished 6th, behind the winner .
-
6
of 0 -
- Ohi 25-Apr-24 m R9
- 6th Empirical Rule (Y Tannai)
- Spell 95d
-
11
of 15 -
- Nakayama 21-Jan-24 1800m R2 (of $7,461,776) Barrier 3, SP: 100/1
- 1st Cafe Alloro (K Yokoyama 121) 2nd Aerial (R Piechulek 121) 4.00L 3rd Gold Alone (Y Nonaka 121) 2.50L 11th Empirical Rule (M Sugihara 121, Cd 0) 23.50L
-
13
of 16 -
- Nakayama 28-Dec-23 1800m R4 (of $7,461,776) Barrier 2, SP: 200/1
- 1st Kaito Gut (G Maruyama 121) 2nd Dee My The Kid (Y Shibayama 123) 0.30L 3rd Las Cumbres (T Marquand 123) 1.25L 13th Empirical Rule (H Uchida 121, Cd 0) 9.75L
- Spell 81d
-
10
of 12 -
- Tokyo 08-Oct-23 2000m R5 (of $9,768,662) Barrier 10, SP: 125/1
- 1st Champagne Mark (K Tosaki 123) 2nd Ground Beat (Y Kawada 123) 2.00L 3rd Jun Platina (A Tsumura 123) 0.30L 10th Empirical Rule (H Uchida 121, Cd 0) 11.75L
| Profile: | 3 year old b - |
|---|---|
| Career: | 4 starts, 0 wins, 0 placings |
| Earnings: | $0 |
| Trainer: | Masashi Fukayama |
| Pedigree: | Dunkirk x South Empirical |
| Country: | Japan |
| Foaled: | 01/01/2021 |
| Owners: | Owner Of Empirical Rule |
| Training History: | |
| Oct 23 - Current | Masashi Fukayama , |