RallyIQ

WTA · Right-handed · 4 charted matches · 2023–2024

Maria Timofeeva

Shot expected value

The share of points Maria Timofeeva 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 · 96 shots

OptionUsedWin %Tour
BH crosscourt 43% 56.6%±10.4 47.6%
BH through the middle 30% 42.2%±11.6 43.3%
BH down the line 16% 49.6%±13.9 46.8%
BH slice crosscourt 11% 35.8%±14.2 40.4%

Rally, shots 5–8: drive to your middle

position worth 50% to the average player · 60 shots

OptionUsedWin %Tour
BH crosscourt 27% 56.1%±13.6 50.9%
FH crosscourt 20% 51.7%±14.5 52.7%
BH through the middle 20% 47.6%±14.5 46.2%

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

position worth 43% to the average player · 54 shots

OptionUsedWin %Tour
FH crosscourt 50% 53.9%±12.0 46.7%
FH through the middle 20% 49.2%±14.8 41.3%
FH down the line 20% 48.3%±14.8 44.9%

Serve under pressure

Deuce court

1st serveUsageBreak ptWon when in
Wide 58% 29% ▼ 59% / 66%
Body 29% 14% ▼ 62% / 57%
T 13% 57% ▲ 71% / 68%

112 normal · 7 break-point 1st serves

Ad court

1st serveUsageBreak ptWon when in
Wide 52% 67% ▲ 69% / 66%
Body 21% 22% 54% / 56%
T 27% 11% ▼ 58% / 64%

89 normal · 18 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
Wide56% 53.1%±8.3 n=67
Body28% 59.3%±10.2 n=33
T16% 62.4%±11.4 n=19

Consistent with an optimal mix (p = 0.25).

Ad court

1st serveUsagePoints won
Wide54% 64.2%±8.4 n=58
Body22% 52.8%±11.3 n=23
T24% 52.9%±11.0 n=26

Consistent with an optimal mix (p = 0.08).

Return by serve direction

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

ServeCourtDirectionPointsWonvs tour
1stAd courtBody 8 45% +1.3±13.3
1stAd courtT 16 34% −1.5±11.5
1stAd courtWide 52 36% +1.3±8.7
1stDeuce courtBody 23 34% −9.1±10.7
1stDeuce courtT 19 28% −4.3±10.5
1stDeuce courtWide 41 27% −7.0±8.7
2ndAd courtBody 14 53% −1.6±12.4
2ndAd courtT 7 55% +0.4±13.4
2ndAd courtWide 22 48% −5.3±11.4
2ndDeuce courtBody 19 46% −8.9±11.7
2ndDeuce courtT 9 58% +2.5±13.0
2ndDeuce courtWide 17 53% −0.3±12.0

Discovered sequences

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

  1. BH crosscourt → BH crosscourt → BH through the middle used 2.5% · won 53% · +2.1±12.9 vs own baseline · +12.3 vs tour on the same sequence Disrupted by Kateryna Baindl (7/7)

Charted matches