Hi, I’m Naoto from the R&D department at LEOMO. In this post, I’d like to take what we learned in my previous article about the characteristics of an athlete using FTP measurements, and explain how analysis is performed during an actual race (the 2017 Japan National Championships ITT).
We’ll be looking at the data of Kohei Yokotsuka from the LEOMO Bellmare Racing Team during his performance in the 2017 Japan National Championships individual time trial (ITT) alongside data from his FTP test.
Personal characteristics indicative of fatigue as shown by Yokotsuka’s FTP test
- The Foot AR and Q1 of his right foot increased and the difference between his right and left foot expanded.
- DSS decreased.
Data Comparison: FTP Test and the 2017 Japan National Championships ITT
We can see certain personal characteristics which appear in Yokotsuka’s motion data as he fatigues during the 2017 Japan National Championships ITT.
- The difference in Q1 and Foot AR between his left and right foot begins to expand several minutes after the race starts (Fig. 5, Fig. 6).
- The DSS of his right foot slowly decreases (Fig. 5, Fig. 6).
The time for the first lap of the time trial is shorter than the FTP test and average power is lower. Even so, differences in motion data due to fatigue can be observed immediately after the race starts. It can be assumed that this may be due to his producing over 1000W of power immediately after the start of the race (Fig. 5, Fig. 6: TT1). Therefore, it is highly possible that Yokotsuka rode the majority of this time trial (Fig. 5, Fig. 6: TT2) in quite an unfavorable position.
As shown here, by making use of the TYPE-R with FTP measurements and other protocols to understand the characteristics of an athlete, it is possible to see where the changes observed in that athlete during a race appear in the data (in this case, Yokotsuka’s difference in Foot AR and Q1 between his left and right foot, and the tendency for his DSS score to decrease). Based on the data showing improvements to his average power and time from Lap 2 to Lap 3, we can also see that Yokotsuka did not stall significantly. When only looking at the data, we do get the impression that Yokotsuka managed to finish the race through power and time management, but we can also see through the motion data that he was actually riding under similar conditions to the 2nd half of his FTP test for the entirety of the race. Considering what to do during an actual race with characteristics observed in testing will likely become a key point in the future.