Jonathan Fogarty is a trainer still in the early stages of building his career, having taken out his licence in 2021. Four years in, his numbers are modest — one winner from ten runners over the past twelve months, which works out at roughly 1 in every 10 races. That is a lean return, but small yards often operate on tight margins, and every winner counts more when the roster is short.Based on TrackLab's AI analysis
A snapshot of this trainer's performance over the last 12 months
10
Races
1
Wins
10%
Win rate
avg ~10%
50%
Place rate (top 3)
avg ~30%
🔍 Full Analysis
TrackLab's AI-generated assessment based on career data and recent form
TrackLab's Trainer Breakdown
Auto-Generated
The most notable thread in his training record so far is his partnership with Bannow Blaze, a horse he has sent out eleven times. One win from eleven races together tells you this is not a dominant combination, but the sheer number of runs suggests a genuine commitment to the horse and a willingness to keep searching for the right opportunity. Finding that winning moment once from eleven attempts is the kind of patient, grinding work that defines smaller operations trying to establish themselves.
At this stage, Fogarty is a trainer to watch rather than one to make bold claims about. The foundations are there — four years of experience, a small but active string, and at least one horse he knows inside out. The next step is turning that knowledge into results more regularly.
📈 Form Trend
How this trainer's win rate has changed month by month
Monthly win rate
2024–2025
0%
Aug
0%
Nov
0%
Dec
0%
Jan
0%
May
0%
Jun
0%
Aug
50%
Oct
0%
Nov
0%
Dec
🎯 Where This Trainer Thrives
Performance broken down by ground, class, and track type
🌧 Ground Conditions
Yielding
—
Soft (muddy)
—
Good to yielding
—
Yielding to soft
—
Heavy (very wet)
—
Good (firm-ish)
Avoids
🏟 Track Shape
Right-handed, tight
—
Left-handed, wide and galloping
—
Right-handed, undulating
—
Right-handed, tight turning
—
Right-handed, wide and galloping
Avoids
🏇 Jockey Partnerships
The riders they work with most, sorted by rides together