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LMDh (Le Mans Daytona h) [1] is a set of sports prototype regulations used alongside Le Mans Hypercar (LMH) in both the Grand Touring Prototype (GTP) class of the IMSA SportsCar Championship and the Hypercar class of the FIA World Endurance Championship.
The Cadillac V-Series.R, originally named the Cadillac V-LMDh, is a sports prototype racing car designed by Cadillac and built by Dallara. It is designed to the Le Mans Daytona h regulations, and debuted in the IMSA SportsCar Championship at the season opening 24 Hours of Daytona .
The Lamborghini SC63 is an LMDh sports prototype racing car designed by Lamborghini and built by Ligier to compete in the Hypercar and GTP (Grand Touring Prototype) classes in the FIA World Endurance Championship and IMSA SportsCar Championship, respectively.
The Alpine A424 [5] is an LMDh sports prototype racing car designed by Automobiles Alpine and built by Oreca to compete in the Le Mans Hypercar class in the FIA World Endurance Championship. Background
A group of Le Mans Prototypes competing in the American Le Mans Series, 2007 Audi R10 TDI in the 2008 12 Hours of Sebring, 2008. A Le Mans Prototype (LMP) is a type of sports prototype race car used in various races and championships, including the 24 Hours of Le Mans, FIA World Endurance Championship, IMSA SportsCar Championship, European Le Mans Series, and Asian Le Mans Series.
The BMW M Hybrid V8 is a sports prototype racing car designed by BMW M and built by Dallara.It is designed to the Le Mans Daytona h regulations, and debuted in the 2023 IMSA SportsCar Championship at the season-opening 24 Hours of Daytona. [5]
The 963 made its first appearance in the practice sessions of the 2023 24 Hours of Daytona alongside the other new GTP cars., the BMW M Hybrid V8, the Acura ARX-06, and the Cadillac V-LMDh. The 963 was often right behind the ARX-06s of Meyer Shank Racing and Wayne Taylor Racing , with the former leading all five practice sessions, bar the last one.
In statistics, the 68–95–99.7 rule, also known as the empirical rule, and sometimes abbreviated 3sr or 3 σ, is a shorthand used to remember the percentage of values that lie within an interval estimate in a normal distribution: approximately 68%, 95%, and 99.7% of the values lie within one, two, and three standard deviations of the mean ...