Horses in Focus At Pimlico and Belmont on Saturday May 21st

DontLetTheGamePassYouByfortfus

Hand-selected by The TimeformUS team, Horses in Focus stand out on our feature sets, such as pace projector, TimeformUS speed figures, spotlight ratings, trainer ratings, pedigree ratings, etc. Expect to see TimeformUS Horses in Focus on this blog typically every Wednesday-Sunday. If Horses in Focus are available for tracks with a later post-time, they will be added to this post throughout the day.

PIMLICO

Race 6:
 
Easy River (#3)
 
Broke maiden in his only previous career start on turf.
 
Trainer Hamilton Smith gets a 98 TimeformUS Trainer Rating with 3YO routers.
 
Ran a 113 TimeformUS Speed Figure last out, tied for best in the field.
 
10/1 on ML
——————–
Race 11:
 
Dazzling Gem (#7)
 
Gorgeous progression on TFUS Speed Figures: 98/108/110/113
 
Raced too close to lightning-fast Arkansas Derby pace
 
Trainer Brad Cox gets a 100 Overall Trainer Rating 
 
9/2 on ML
———————
Race 12:
 
Conquest Typhoon (#5)
 
Draw a line through his Makers Mark Mile, as the race favored those with more tactical speed
 
Ran a career-best 127 Speed Figure two races ago in Gulfstream Park allowance
 
Impressive winner in his only career start on yielding turf
 
Trainer Mark Casse combined with jockey Jose Lezcano: a 98 Rating
 
15-1 on ML

BELMONT

Race 2:

Mojo Risin (#4)
Kept very good company in France as a three-year-old.
Did not get the right trip last time when racing three-wide without cover for most of the way.
Chad Brown has been putting up strong numbers at this meet.
3/1 on ML
 
Race 7:
Rapscallion (#6)
Has run some of his best races sprinting over Belmont’s turf course.
Ran better than it appears in his last turf race on October 18 after racing wide.
Fits well at this $25,000 level.
12/1 on ML
Race 8:
Ametrine (#8)
Overcame a four-wide trip in her debut.
The horse that beat her last time returned to win her second start impressively last week.
David Donk gets a 92 trainer rating with horses coming off layoffs of this type.
7/2 on ML
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