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It's possible to win a match despite losing more than half of all points, or to win a match despite winning fewer return points than your opponent does. I define "lottery matches" as those contests in which both players win at least 47% of points, the threshhold at which luck and clutch play take on a larger-than-usual role.

This table shows all ATP matches this year within a special category of lottery matches: those in which the winner lost more than 50% of points and/or lost more return points than his opponent did.

DR = Dominance Ratio, the ratio of return points won to opponent's return points won.
TPW = percentage of Total Points Won.

Updated weekly. Last update: 2017-01-16

2017-01-02BrisbaneQFStanislas WawrinkaKyle Edmund6-7(2) 6-4 6-40.9550.5%
2017-01-02BrisbaneQ2Yoshihito NishiokaTim Smyczek7-5 6-40.8851.1%
2017-01-02BrisbaneQ1Yoshihito NishiokaGo Soeda6-4 0-6 6-20.8248.4%
2017-01-02ChennaiQFRoberto Bautista AgutMikhail Youzhny2-6 6-4 6-40.9949.4%
2017-01-02ChennaiR16Jozef KovalikMarin Cilic7-6(5) 5-7 7-50.8749.0%
2017-01-02DohaQFTomas BerdychJo Wilfried Tsonga7-5 6-30.9754.0%
2017-01-02DohaR32Arthur De GreefMohamed Safwat6-7(8) 7-5 6-40.9450.0%
2017-01-09AucklandR32Dustin BrownMichael Mmoh7-6(4) 3-6 6-40.8449.5%
2017-01-09AucklandR32Yen Hsun LuKaren Khachanov4-6 7-6(5) 7-6(9)0.9750.4%
2017-01-09SydneyR16Pablo Carreno BustaMischa Zverev3-6 7-6(4) 6-31.0349.8%