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NASCAR All-Star Race 2017: Key Stats, Betting Odds and Past Winners

NASCAR

The teams of NASCAR Sprint All-Star Race 2017 have a game worth $1 million this weekend, competing at Charlotte Motor Speedway on Saturday. In spite of the unknown, there are some key stats which distinguish the drivers at 1.5-mile North Carolina track.

Martin Truex Jr. and Kyle Larson seem to be going through a dream run this season at 1.5-mile tracks. Apart from the win at Las Vegas, Truex also came first at Kansas last week. On the other hand, Larson has three runner-up finishes to show in addition to the sixth-place ranking in the four intermediate track races so far. Subsequent to 11 races, Larson continues to lead the Cup Series table partly because of the 6.9 average finish and 366 laps lead.

Amongst the active drivers, Matt Kenseth leads the way with more than one start in the All-Star Race with a 6.87 average finish; after that Jimmie Johnson with 7.13. Joe Gibbs Racing has certainly lacked speed at the start of the season; however, Denny Hamlin has the second best driver ranking at Charlotte since 2015, behind Martin Truex.

Odds

As per the LinesMaker Sportsbook, Martin Truex Jr has the best chance with 6/1 odds. Kyle Busch and Kyle Larson are the next favorites with 13/2 odds. Following that Brad Keselowski and Jimmie Johnson are also in the contention with 7/1 and 15/2 odds respectively.

Winners

Ten active Cup Series drivers have managed to come on top at the All-Star Race and consequently have taken home the $1 million. Jimmie Johnson is leading the pack with a record four All-Star race wins. The other past winners who boast one All-Star race wins are cited below:
• Joey Logano (2016)
• Denny Hamlin (2015)
• Jamie McMurray (2014)
• Kurt Busch (2010)
• Kasey Kahne (2008)
• Kevin Harvick (2007)
• Matt Kenseth (2003)
• Ryan Newman (2002)
• Dale Earnhardt Jr. (2000)

 
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Billy O'Shea has been a sports writer for Linesmaker Sports since 2012. Raised in Toronto, Canada he has a keen interest in sports analytics especially wagering behavior as a predictive model for sports outcomes.