RallyIQ

WTA · Right-handed · 2 charted matches · 2023–2023

Julia Riera

Shot expected value

The share of points Julia Riera 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 · 52 shots

OptionUsedWin %Tour
BH crosscourt 67% 53.7%±11.1 47.6%
BH through the middle 19% 42.2%±14.8 43.3%

Rally, shots 5–8: drive to your middle

position worth 50% to the average player · 37 shots

OptionUsedWin %Tour
FH crosscourt 32% 61.1%±14.2 52.7%
BH crosscourt 32% 53.7%±14.5 50.9%

Serve +1: mid-depth return to your middle

position worth 51% to the average player · 26 shots

OptionUsedWin %Tour
BH crosscourt 42% 50.0%±14.8 52.5%
FH crosscourt 38% 52.7%±15.0 54.0%

Serve under pressure

Deuce court

1st serveUsageBreak ptWon when in
Wide 49% 100% ▲ 67% / 66%
Body 19% 0% ▼ 63% / 57%
T 32% 0% ▼ 63% / 68%

72 normal · 3 break-point 1st serves

Ad court

1st serveUsageBreak ptWon when in
Wide 64% 76% ▲ 61% / 66%
Body 18% 18% 59% / 56%
T 18% 6% ▼ 64% / 64%

56 normal · 17 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
Wide51% 60.7%±9.7 n=38
Body19% 56.4%±12.3 n=14
T31% 49.7%±11.3 n=23

Consistent with an optimal mix (p = 0.19).

Ad court

1st serveUsagePoints won
Wide67% 63.8%±8.9 n=49
Body18% 59.5%±12.3 n=13
T15% 59.8%±12.6 n=11

Consistent with an optimal mix (p = 0.69).

Return by serve direction

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

ServeCourtDirectionPointsWonvs tour
1stAd courtBody 14 44% −0.3±12.3
1stAd courtT 6 32% −3.1±12.8
1stAd courtWide 24 40% +5.1±10.9
1stDeuce courtBody 11 51% +8.1±12.8
1stDeuce courtT 10 34% +2.0±12.3
1stDeuce courtWide 23 31% −3.4±10.4
2ndAd courtBody 13 62% +6.6±12.2
2ndAd courtT 1 56% +1.5±14.6
2ndAd courtWide 4 56% +2.5±14.0
2ndDeuce courtBody 14 60% +5.4±12.2
2ndDeuce courtT 7 62% +5.6±13.2
2ndDeuce courtWide 5 58% +3.7±13.7

Discovered sequences

Mined from every me → opponent → me run of three shots, with no templates. Ranked by how much more often Julia Riera wins the point once the sequence happens, weighted by how often it happens. Think of them as chess openings.

  1. FH crosscourt → FH crosscourt → FH crosscourt used 5.3% · won 42% · −9.4±11.9 vs own baseline · −16.5 vs tour on the same sequence Disrupted by Mayar Sherif (5/17)

Charted matches