After a relatively quiet week in North American racing, Memorial Day 2025 delivered a flurry of high-stakes action that created some changes on the Equibase leaderboard tabulating earnings for horses, jockeys, and trainers. From coast to coast, major tracks hosted key races that drew top talent and big performances.

Trainer Saffie Joseph Jr. enjoyed a standout Memorial Day, notching stakes victories at both Santa Anita Park and Lone Star Park. In California at Santa Anita, he teamed up with jockey Irad Ortiz Jr. to capture two graded stakes: the Grade 2 Hollywood Gold Cup Stakes with Skippylongstocking and the Grade 1 Gamely Stakes with Be Your Best. Meanwhile, 1,400 miles away in Grand Prairie, Texas, Joseph's Mystic Lake led from start to finish to win the Memorial Day Sprint Stakes at Lone Star with Luis Saez in the irons. By day's end, Joseph had racked up nearly $300,000 in earnings. The South Florida-based conditioner remains in third in the 2025 trainer standings with $7,909,551 in earnings, behind Brad Cox and Steve Asmussen.

The Hollywood Gold Cup was Skippylongstocking’s ninth career graded stakes victory and already his second this year. The 6-year-old Exaggerator horse has a perfect 100% in-the-money record in 2025, posting two wins and two thirds from four starts, all in graded stakes races. Following his win on Monday, Skippylongstocking climbed into 26^th in the standings among North America-based racehorses with $568,625 in earnings.

Flavien Prat remains first in the jockey standings with $12,781,173 in 2025 earnings; however, Irad Ortiz Jr. continues to inch closer to the lead and has joined Prat as the only two jockeys in North America to surpass $12 million in earnings. Ortiz Jr. rode at a 35% clip last week and had a 65% in-the-money mark, taking eight trips to the winner’s circle and earning over $600,000. Ortiz has scheduled graded stakes mounts Friday, Saturday and Sunday this week.

North American leaders lists for horses, jockeys, trainers, and owners are available on equibase.com and you can filter the data to view by a wide variety of categories including age, sex, surface, and race type.