The race, launched and organised by Thanyapura Health & Sports Resort, consisted of routes along North Phuket’s lush jungles, mountains, scenic roads, and exotic coastlines.
It started from Khao Phra Thaeo National Park and turned at two locations: Sarasin Bridge (45 km) and Masjid Ban Nai Yong in Phang Nga (106 km). Two members of the Thanyapura Pro Triathlon Team, Eimear Mullan and Ritchie Nicholls, also competed in the race.
Jürgen Zäck of Germany, first place winner in the Classic 106 km (Male Open Category, 02:34:54.8), said, “I didn’t expect anything when I entered the race because there were a lot of good athletes. I was just happy to be in the breakaway and enjoying the scenery. I think Thanyapura picked the best race that is possible to Phang Nga. I’m coming back next year.”
Thanyapura Pro Triathlon Team
Eimear Mullan of Ireland, first place winner in the Classic 106 km (Female Open Category, 02:43:04.0) said, “I’m really happy here to have won the race at Thanyapura. It’s my first ever, my first race since the end of 2015 because I was recovering from injury. I didn’t prepare specifically for this race; I have been training since after my long injury in November. Things are progressing, and I’m getting a little bit better. I’m ready for some triathlons later on the season.”
The Thanyapura Phuket Classic Cycling Race, established in 2014 under the name Grand Fondo, is a short and long-distance road bicycle competition with individually timed chips for all riders. 147 participants (10 women, 137 men) competed in the Mini Classic 45 km while 150 participants (26 women, 114 men) raced the more strenuous Classic 106 km. The 106-kilometre began at 7:00 am while the 45-kilometre starts 15 minutes later. This year’s sponsors include Cannasia, ProCycle, Revv Energy, Live 89.5 FM and 89.75 Radio Trip, Bangkok Phuket Hospital and Seahorse Water.
Thanyapura Phuket Health & Sports Resort offers the Cycling Training Academy, with services in high quality bike rentals, professional coaches and private bike tours. Our resident sports scientist analyses data from Computrainers to create personalised reports which shows performance level in order to improve the cyclist’s current training program.