RallyIQ

WTA · Right-handed · 4 charted matches · 2020–2024

Leonie Kung

Shot expected value

The share of points Leonie Kung 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 forehand side

position worth 43% to the average player · 80 shots

OptionUsedWin %Tour
FH crosscourt 35% 54.9%±11.8 46.7%
FH down the line 30% 36.3%±11.9 44.9%
FH through the middle 26% 37.2%±12.4 41.3%

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

position worth 45% to the average player · 71 shots

OptionUsedWin %Tour
BH crosscourt 48% 49.1%±11.2 47.6%
BH through the middle 34% 51.5%±12.4 43.3%

Rally, shots 5–8: drive to your middle

position worth 50% to the average player · 67 shots

OptionUsedWin %Tour
FH crosscourt 34% 52.4%±12.5 52.7%
FH through the middle 21% 38.7%±13.7 45.8%
BH through the middle 16% 49.2%±14.8 46.2%
FH down the line 15% 61.5%±14.6 52.2%

Long rally, 9+: drive to your backhand side

position worth 44% to the average player · 50 shots

OptionUsedWin %Tour
BH crosscourt 44% 44.3%±12.6 47.9%
BH through the middle 30% 38.7%±13.5 42.7%

Serve under pressure

Deuce court

1st serveUsageBreak ptWon when in
Wide 54% 70% ▲ 63% / 66%
Body 35% 20% ▼ 52% / 57%
T 11% 10% 67% / 68%

113 normal · 10 break-point 1st serves

Ad court

1st serveUsageBreak ptWon when in
Wide 48% 62% ▲ 63% / 66%
Body 20% 12% ▼ 65% / 56%
T 32% 27% 64% / 64%

85 normal · 26 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
Wide55% 45.3%±8.3 n=68
Body34% 46.3%±9.7 n=42
T11% 48.8%±12.5 n=13

Consistent with an optimal mix (p = 0.79).

Ad court

1st serveUsagePoints won
Wide51% 51.2%±8.8 n=57
Body18% 62.0%±11.3 n=20
T31% 54.6%±10.2 n=34

Consistent with an optimal mix (p = 0.16).

Return by serve direction

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

ServeCourtDirectionPointsWonvs tour
1stAd courtBody 25 44% ±0.0±11.0
1stAd courtT 22 38% +2.3±11.1
1stAd courtWide 26 26% −8.9±9.6
1stDeuce courtBody 25 38% −4.8±10.8
1stDeuce courtT 14 38% +5.7±12.0
1stDeuce courtWide 39 28% −6.2±8.9
2ndAd courtBody 23 50% −5.0±11.3
2ndAd courtT 5 59% +3.6±13.7
2ndAd courtWide 13 61% +7.1±12.3
2ndDeuce courtBody 26 63% +8.6±10.6
2ndDeuce courtT 6 52% −3.8±13.7
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 Leonie Kung 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 2.2% · won 52% · +4.8±13.1 vs own baseline · +11.7 vs tour on the same sequence
  2. BH crosscourt → BH crosscourt → BH crosscourt used 2.6% · won 46% · −1.1±12.6 vs own baseline · −4.2 vs tour on the same sequence Disrupted by Nahia Berecoechea (3/10), Linda Klimovicova (4/6)
  3. FH crosscourt → FH crosscourt → FH down the line used 2.6% · won 41% · −5.8±12.4 vs own baseline · −14.4 vs tour on the same sequence Disrupted by Nahia Berecoechea (3/8)

Charted matches