RallyIQ

WTA · Right-handed · 2 charted matches · 2024–2025

Martyna Kubka

Serve under pressure

Deuce court

1st serveUsageBreak ptWon when in
Wide 52% 33% ▼ 72% / 66%
Body 14% 67% ▲ 60% / 57%
T 33% 0% ▼ 65% / 68%

63 normal · 3 break-point 1st serves

Ad court

1st serveUsageBreak ptWon when in
Wide 46% 44% 74% / 66%
Body 21% 22% 50% / 56%
T 33% 33% 62% / 64%

52 normal · 9 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. A direction loses 0.19 points per 100 serves for every 10 points of habitual usage, measured from WTA 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
Wide52% 74.0%±9.0 n=34
Body17% 71.8%±11.6 n=11
T32% 67.2%±10.8 n=21

Consistent with an optimal mix (p = 0.48).

Ad court

1st serveUsagePoints won
Wide46% 59.1%±10.6 n=28
Body21% 51.8%±12.5 n=13
T33% 50.3%±11.6 n=20

Consistent with an optimal mix (p = 0.32).

Return by serve direction

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

ServeCourtDirectionPointsWonvs tour
1stAd courtBody 12 41% −3.0±12.5
1stAd courtT 7 37% +1.4±13.1
1stAd courtWide 15 30% −4.8±11.2
1stDeuce courtBody 11 34% −9.0±12.1
1stDeuce courtT 10 32% −0.5±12.1
1stDeuce courtWide 13 33% −1.0±11.8
2ndAd courtBody 8 51% −3.7±13.3
2ndAd courtT 4 52% −3.5±14.1
2ndAd courtWide 7 49% −4.7±13.5
2ndDeuce courtBody 16 53% −1.5±12.1
2ndDeuce courtT 3 57% +1.0±14.2
2ndDeuce courtWide 8 53% −0.8±13.3

Charted matches