Horse record · AWE archive

Blazing Statement

B 3 year Gelding · Sire Press Statement · Dam Blazing Dragon

Career

7: 0 - 1

Wins

Places

14%

Prize money

$6,550

Last run

5 days ago

Track

2: 0 - 1

Distance

1: 0 - 0

Trk & Dist

1: 0 - 0

Class

1: 0 - 0

1st up

2: 0 - 0

2nd up

2: 0 - 1

Firm

0: 0 - 0

Good

3: 0 - 0

Soft

1: 0 - 1

Heavy

3: 0 - 0

Last 20 starts (x = spell)

78x72975

Form trend (wins at top)

Finishing position, oldest → latest

Form history

Plcg	Venue	Date	Dist	Track	Class	Jockey (Br)	Wgt	Odds	Winner / 2nd	Mgn	Time
5	Gosford	2026-07-18	1600m	Heavy	2&3Y MDN-SW	G.Buckley (1)	58.5kg	8.50	Zenmode	7.61L	1:42.69
Jumped Ok sat box seat 2 Lengths off, under pressure turn and dropped out # had run/gone turn
SCR	Kembla Grange	2026-07-16	1600m	Good	SUPER MDN-SW	G.Buckley (6)	59kg	—	Equinox Legend	—	1:38.80
7	Newcastle	2026-06-27	1400m	Heavy	MDN-SW	J.Taylor (1)	59kg	101.00	Agraffe Rocket	5.83L	1:25.45
Jumped Well to lead 1 length clear, pushed along turn, Straightened Up 1 length clear, headed 200m and weakened # led/headed 200m
—	Wyong	2026-06-25	1350m	Heavy	MDN	G.Buckley (5)	56kg	—	—	—	—
SCR	Kembla Grange	2026-06-02	1300m	Heavy	PROV MDN	— (15)	57kg	—	Smoke 'N' Darts	—	1:21.63
9	Scone	2026-05-31	1300m	Heavy	MDN	W.Stanley (2)	58kg	31.00	Antilopini	10.37L	1:20.49
Jumped Ok sat 3l off, under pressure turn and dropped out # poor
2	Gosford	2026-05-18	1000m	Soft	MDN-BT	G.Buckley	—	—	Encryptix	0.53L	1:01.45
7	Beaumont Newcastle	2026-05-04	1000m	Good	MDN-BT	R.Hutchings	—	—	Still Rising	27.71L	1:00.36
8	Kembla Grange	2026-01-10	1500m	Good	MID MDN-SW	G.Buckley (8)	57.5kg	71.00	La Morra	8.4L	1:31.40
Jumped Ok drifted back 7-8l off, well back turn, Straightened Up well off, plodded home # back/no threat
7	Beaumont Newcastle	2025-12-26	1200m	Good	PROV 3Y MDN-SW	M.Stapleford	57kg	20.00	Levelling Up	5.77L	1:12.31
Jumped Ok sat 3-4l off, much the same turn, Straightened Up 3l off all clear, plodded home # poor

All figures computed from our own Australian archive; splits use this horse's most recent track, distance and class. Deeper backfill = deeper history.