RallyIQ

WTA · Right-handed · 4 charted matches · 2020–2022

Katrina Scott

Shot expected value

The share of points Katrina Scott 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 middle

position worth 50% to the average player · 69 shots

OptionUsedWin %Tour
FH through the middle 33% 49.2%±12.5 45.8%
BH through the middle 26% 42.7%±13.2 46.2%
FH down the line 23% 62.4%±13.3 52.2%
BH crosscourt 17% 53.7%±14.5 50.9%

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

position worth 45% to the average player · 56 shots

OptionUsedWin %Tour
BH through the middle 54% 51.3%±11.6 43.3%
BH crosscourt 34% 55.2%±13.1 47.6%

Serve under pressure

Deuce court

1st serveUsageBreak ptWon when in
Wide 45% 33% ▼ 59% / 66%
Body 30% 0% ▼ 60% / 57%
T 25% 67% ▲ 75% / 68%

133 normal · 3 break-point 1st serves

Ad court

1st serveUsageBreak ptWon when in
Wide 31% 30% 75% / 66%
Body 12% 17% 53% / 56%
T 56% 52% 69% / 64%

105 normal · 23 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
Wide45% 55.8%±8.6 n=61
Body29% 65.4%±9.4 n=40
T26% 68.7%±9.5 n=35

Consistent with an optimal mix (p = 0.07).

Ad court

1st serveUsagePoints won
Wide31% 63.1%±9.5 n=40
Body13% 55.7%±11.9 n=17
T55% 60.2%±8.0 n=71

Consistent with an optimal mix (p = 0.45).

Return by serve direction

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

ServeCourtDirectionPointsWonvs tour
1stAd courtBody 24 47% +2.7±11.2
1stAd courtT 31 36% ±0.0±10.1
1stAd courtWide 32 36% +1.6±10.0
1stDeuce courtBody 19 51% +8.0±11.7
1stDeuce courtT 26 28% −4.2±9.9
1stDeuce courtWide 40 43% +9.1±9.7
2ndAd courtBody 19 52% −3.0±11.7
2ndAd courtT 7 53% −2.3±13.5
2ndAd courtWide 13 49% −4.6±12.5
2ndDeuce courtBody 23 53% −1.0±11.3
2ndDeuce courtT 6 49% −6.6±13.7
2ndDeuce courtWide 23 47% −6.4±11.3

Signature patterns

Recurring sequences that win more than Katrina Scott's own baseline, ranked by edge weighted by how often they're used.

Serve → +1

  1. Not enough data

Return

  1. vs wide serve (deuce court) → FH direction unknown used 21.7% · won 37% · −1.7±11.5 vs own baseline

Rally, consecutive own shots

  1. FH direction unknown → BH direction unknown used 20.8% · won 47% · +0.9±10.7 vs own baseline

Charted matches