RallyIQ

ATP · Right-handed · 2 charted matches · 2014–2014

Michal Przysiezny

Serve under pressure

Deuce court

1st serveUsageBreak ptWon when in
Wide 41% 0% ▼ 72% / 73%
Body 13% 0% ▼ 56% / 63%
T 46% 100% ▲ 77% / 75%

63 normal · 2 break-point 1st serves

Ad court

1st serveUsageBreak ptWon when in
Wide 40% 55% ▲ 75% / 73%
Body 21% 18% 62% / 63%
T 40% 27% ▼ 80% / 72%

48 normal · 11 break-point 1st serves

Is the serve mix in equilibrium?

Game theory says a well-mixed server wins equally often with every direction they use. If one direction wins more, it's underused and points are being left behind. This is the minimax test Walker and Wooders ran on Wimbledon finals, applied to every charted first serve. Win rates include faults. "Optimal" allows for returners reading a habit. No measurable response (−0.05 ± 0.15 points per 100 serves for every 10 points of habitual usage), measured from ATP servers whose mix drifted between matches. Shifts stay within the range servers' habits actually vary, the only range that response was measured over.

Deuce court

1st serveUsagePoints won
Wide40% 64.5%±10.5 n=26
Body12% 57.3%±13.2 n=8
T48% 65.4%±10.0 n=31

Consistent with an optimal mix (p = 0.66).

Return by serve direction

Return points won against each serve direction, compared with the tour average.

ServeCourtDirectionPointsWonvs tour
1stAd courtBody 3 37% −0.3±13.8
1stAd courtT 11 21% −7.5±10.4
1stAd courtWide 14 21% −6.4±10.1
1stDeuce courtBody 6 36% −0.6±13.2
1stDeuce courtT 16 16% −8.7±9.0
1stDeuce courtWide 10 28% +0.7±11.7
2ndAd courtBody 10 40% −9.8±12.7
2ndAd courtT 3 51% +1.6±14.3
2ndAd courtWide 4 49% +0.2±14.1
2ndDeuce courtBody 11 50% +1.5±12.8
2ndDeuce courtT 8 45% −5.2±13.3
2ndDeuce courtWide 1 47% −1.6±14.7

Charted matches