Skip to content

HKJC Guru is an independent statistics service and is not affiliated with, endorsed by, or connected to The Hong Kong Jockey Club.

WONG'S SUCCESS

Veteran · Ran 6236d ago

Form 511104929919 finishing position trend

WONG'S SUCCESS is a Brown gelding, sired by Fuji Kiseki out of Eleanor's Pride. In 51 career starts in Hong Kong, he has won 3 times and placed in the first three 12 times. He most recently ran on 2009-06-21 at Sha Tin, finishing 9th.

Career Record

Record

51-3-12

Runs-Wins-Places

Current Rating

with season change

Win rate

5.9%

Place 23.5%

Season prize (HK$)

Total 2,317,650

Age

AUS · PP

Profile & pedigree

Sire

Fuji Kiseki

Dam

Eleanor's Pride

Colour / Sex

Brown / Gelding

Owner

Fung Siu Ling

Race History

51 runs
Date Race Pos Odds
2009-06-21 Sha Tin · 1800m · Class 4 M Du Plessis · 5 9 19.0
2009-05-17 Sha Tin · 1800m · Class 4 M Du Plessis · 3/4 1 13.0
2009-05-01 Sha Tin · 2000m · Class 4 M Du Plessis · 3-3/4 9 40.0
2009-04-05 Sha Tin · 1800m · Class 4 H W Lai · 4-1/2 9 16.0
2009-03-01 Sha Tin · 1800m · Class 4 H W Lai · 1-1/2 2 17.0
2009-02-15 Sha Tin · 2000m · Class 4 J Victoire · 7-1/2 9 14.0
2009-01-18 Sha Tin · 2000m · Class 4 H W Lai · 1-1/2 4 16.0
2008-12-06 Sha Tin · 1800m · Class 4 C K Tong · 6-1/4 10 13.0
2008-11-02 Sha Tin · 1800m · Class 4 H W Lai · 5-3/4 11 11.0
2008-10-19 Happy Valley · 2200m · Class 4 O Doleuze · 5-1/4 5 5.4
Full history (41 more runs)
2008-09-28 Sha Tin · 1600m · Class 4 C K Tong · 3/4 3 99.0
2008-09-15 Sha Tin · 1600m · Class 4 O Doleuze · 8-1/4 12 43.0
2008-07-01 Sha Tin · 1800m · Class 4 O Doleuze · 5-1/2 12 9.4
2008-06-18 Happy Valley · 2200m · Class 4 O Doleuze · 3-1/4 3 9.2
2008-05-12 Sha Tin · 1800m · Class 4 E Saint-Martin · 5-1/4 10 8.8
2008-04-06 Sha Tin · 1650m · Class 4 C W Wong · 3-1/4 8 23.0
2008-03-19 Happy Valley · 1650m · Class 4 E Saint-Martin · 2-3/4 4 26.0
2008-02-17 Sha Tin · 2000m · Class 4 D Whyte · 3-3/4 6 8.3
2008-01-20 Sha Tin · 1600m · Class 3 H W Lai · 4 12 99.0
2008-01-06 Sha Tin · 1800m · Class 3 H W Lai · 2-3/4 6 9.1
2007-12-09 Sha Tin · 1800m · Class 3 M Nunes · 1-3/4 6 28.0
2007-11-17 Sha Tin · 2000m · Class 4 C W Wong · N 2 7.7
2007-10-31 Happy Valley · 1650m · Class 4 M Nunes · 6 8 29.0
2007-10-14 Sha Tin · 1600m · Class 3 M Nunes · 8 14 62.0
2007-09-15 Sha Tin · 1400m · Class 3 M Nunes · 4-3/4 11 31.0
2007-06-27 Happy Valley · 1800m · Class 3 K L Chui · 16-1/4 12 12.0
2007-06-03 Sha Tin · 1800m · Class 3 H W Lai · 9-3/4 11 4.9
2007-05-12 Sha Tin · 1800m · Class 4 G Mosse · 2-1/2 1 21.0
2007-04-25 Happy Valley · 1800m · Class 4 F Coetzee · 4-1/2 3 19.0
2007-03-25 Sha Tin · 1650m · Class 4 D Nikolic · 4-1/2 8 15.0
2007-02-20 Sha Tin · 1800m · Class 4 B Prebble · 7-1/4 12 7.9
2007-01-31 Sha Tin · 1800m · Class 4 H W Lai · 1-1/4 2 14.0
2007-01-14 Sha Tin · 1600m · Class 4 B Prebble · 8-3/4 9 38.0
2006-12-26 Sha Tin · 1800m · Class 4 B Prebble · 3-3/4 10 54.0
2006-12-02 Sha Tin · 1650m · Class 3 K L Chui · 4-3/4 11 81.0
2006-11-04 Sha Tin · 1800m · Class 3 M Odendaal · 12 12 88.0
2006-10-21 Sha Tin · 1650m · Class 3 M Odendaal · 7 10 48.0
2006-06-25 Sha Tin · 1400m · Class 3 C W Wong · 13-3/4 14 99.0
2006-06-10 Sha Tin · 1400m · Class 3 C K Tong · 17-1/2 13 99.0
2006-02-11 Sha Tin · 1400m · Class 2 H W Lai · 9 13 51.0
2005-11-09 Sha Tin · 1650m · Class 2 D Whyte · 2-1/2 6 6.4
2005-10-16 Sha Tin · 1400m · Class 3 R Fradd · 5-1/4 9 58.0
2005-06-22 Happy Valley · 1800m · Class 2 G Schofield · 8-1/4 8 6.8
2005-06-08 Happy Valley · 1800m · Class 3 B Prebble · 3-3/4 3 5.0
2005-05-21 Sha Tin · 1800m · Class 3 B Prebble · 1 4 2.2
2005-04-24 Sha Tin · 2000m · Class 2 G Schofield · 2-1/4 2 8.8
2005-03-19 Sha Tin · 1800m · Class 3 B Prebble · 1/2 1 5.6
2005-03-05 Sha Tin · 1800m · Class 3 B Prebble · N 2 11.0
2005-02-20 Sha Tin · 1600m · Class 3 B Prebble · 5-1/4 6 34.0
2005-01-30 Sha Tin · 1600m · Class 3 B Prebble · 9 10 27.0
2004-12-26 Sha Tin · 1400m · Class 3 B Prebble · 3-1/2 7 9.0

We rate every runner, every meeting

A nightly model scores each field — the Model column above shows its pre-race rank for this horse's past runs.

How the model works →