An unexpected sunny day welcomed MotoGP riders at Le Mans, where the Moto2 official qualifying session ended with the usual crowd of riders separated by mere tenths of a second. More than half of the participants dipped under the 1'40" bracket,...
An unexpected sunny day welcomed MotoGP riders at Le Mans, where the Moto2 official qualifying session ended with the usual crowd of riders separated by mere tenths of a second. More than half of the participants dipped under the 1'40" bracket, with a total of 27 riders covered by less than one second. The fastest of all was Kenny Noyes, who will start tomorrow from pole position with a time of 1'39"234, followed by Yuki Takahashi and Alex Debon, with Jules Cluzel in fourth completing the first row.
It was a good performance today from Simone Corsi, who maintained the positive intentions he showed in the run-up to the event as he took a position on the second row. The JiR Team rider will start from 8th position, thanks to the time of 1'39"598 only 0.364s from the pole and first of the very competitive Italian riders. He scored the time almost at the end of the session and his improvements now give the team hope for a competitive race pace tomorrow. What will be important will be the choice of tyres based on the expected temperature and length of the Moto2 race which is 26 laps.
Mattia Pasini still can't find the right feeling with his MotoBI and ends up in 31st place, with a time of 1'40"585. Mattia worked hard with the team to test several ergonomic solutions that would help him find a different riding style. The start of tomorrow's race will need to be exploited to the full if he is to work his way up to a competitive final placing.
The French GP is now poised to be very exciting for the JiR team: Corsi will be trying to capitalize on his second row start to stay in front and take advantage into the first chicane, while Pasini will have to recover as many positions as possible while being aware that he still needs experience and time on the bike to learn more about his MotoBI machine.