RallyIQ

WTA · Left-handed · 4 charted matches · 2012–2013

Laura Robson

Against an average opponent

Serve points won 58.7% ±3.9 raw 58.8% · tour 56.3% · 323 points
Return points won 46.2% ±3.9 raw 42.6% · tour 43.7% · 364 points

Serve and return points won, refitted against every opponent at once so a record built on weak or strong opposition is put on the same scale. Career, all surfaces, with a 90% margin. Raw is the plain share of points won.

Shot expected value

The share of points Laura Robson goes on to win after each option in the positions they face most often, shrunk toward tour average when the sample is small. Showing the 8 most-used options; teal marks the best one with at least 30 shots.

Rally, shots 5–8: drive to your backhand side

position worth 45% to the average player · 72 shots

OptionUsedWin %Tour
BH through the middle 38% 39.7%±11.7 43.3%
BH crosscourt 36% 42.4%±12.0 47.6%
BH down the line 19% 30.4%±13.0 46.8%

Rally, shots 5–8: drive to your middle

position worth 50% to the average player · 49 shots

OptionUsedWin %Tour
BH through the middle 29% 47.8%±14.1 46.2%
FH down the line 29% 54.3%±14.1 52.2%
FH through the middle 22% 52.1%±14.8 45.8%
FH crosscourt 20% 58.5%±14.8 52.7%

Return +1: drive to your middle

position worth 50% to the average player · 47 shots

OptionUsedWin %Tour
FH down the line 32% 50.3%±13.9 53.0%
FH crosscourt 28% 52.9%±14.3 52.3%
FH through the middle 23% 39.7%±14.5 46.5%

Serve +1: mid-depth return to your middle

position worth 51% to the average player · 44 shots

OptionUsedWin %Tour
FH down the line 43% 53.0%±13.1 53.3%
FH crosscourt 23% 52.7%±15.0 54.0%

Serve under pressure

Deuce court

1st serveUsageBreak ptWon when in
Wide 28% 33% 78% / 66%
Body 13% 0% ▼ 56% / 57%
T 60% 67% 66% / 68%

159 normal · 9 break-point 1st serves

Ad court

1st serveUsageBreak ptWon when in
Wide 37% 59% ▲ 72% / 66%
Body 27% 10% ▼ 64% / 56%
T 37% 31% 75% / 64%

126 normal · 29 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
Wide28% 60.0%±9.2 n=47
Body12% 54.5%±11.6 n=20
T60% 50.6%±7.2 n=101

Consistent with an optimal mix (p = 0.28).

Ad court

1st serveUsagePoints won
Wide41% 64.6%±8.2 n=63
Body24% 59.0%±9.9 n=37
T35% 66.9%±8.4 n=55

Consistent with an optimal mix (p = 0.39).

Return by serve direction

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

ServeCourtDirectionPointsWonvs tour
1stAd courtBody 9 49% +5.3±13.2
1stAd courtT 40 34% −1.7±9.3
1stAd courtWide 44 22% −12.4±7.9
1stDeuce courtBody 26 53% +10.6±11.0
1stDeuce courtT 33 28% −4.1±9.3
1stDeuce courtWide 48 26% −8.1±8.2
2ndAd courtBody 32 56% +0.6±10.4
2ndAd courtT 38 57% +1.6±9.9
2ndAd courtWide 14 52% −1.1±12.4
2ndDeuce courtBody 40 59% +4.6±9.7
2ndDeuce courtT 17 55% −1.1±11.9
2ndDeuce courtWide 21 57% +3.3±11.4

Charted matches