RallyIQ

WTA · Right-handed · 4 charted matches · 2021–2024

Mai Hontama

Shot expected value

The share of points Mai Hontama 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 · 94 shots

OptionUsedWin %Tour
FH crosscourt 22% 45.2%±12.8 52.7%
BH through the middle 22% 49.4%±12.8 46.2%
FH down the line 22% 54.7%±12.8 52.2%
FH through the middle 20% 49.1%±13.2 45.8%
BH crosscourt 13% 59.9%±14.2 50.9%

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

position worth 43% to the average player · 59 shots

OptionUsedWin %Tour
FH through the middle 47% 44.3%±11.8 41.3%
FH crosscourt 39% 49.6%±12.5 46.7%

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

position worth 45% to the average player · 49 shots

OptionUsedWin %Tour
BH through the middle 49% 44.7%±12.3 43.3%
BH crosscourt 37% 38.2%±13.0 47.6%

Serve +1: deep return to your middle

position worth 45% to the average player · 38 shots

OptionUsedWin %Tour
FH through the middle 47% 40.8%±13.1 42.5%
BH through the middle 32% 48.6%±14.5 42.8%

Serve under pressure

Pressure predictability index ±0 How much less varied Mai Hontama's first-serve direction gets on break points. Positive means easier to read. Based on 41 break-point first serves.

Deuce court

1st serveUsageBreak ptWon when in
Wide 34% 45% ▲ 66% / 66%
Body 36% 18% ▼ 56% / 57%
T 29% 36% 69% / 68%

129 normal · 11 break-point 1st serves

Ad court

1st serveUsageBreak ptWon when in
Wide 25% 37% ▲ 65% / 66%
Body 24% 20% 51% / 56%
T 51% 43% 61% / 64%

96 normal · 30 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
Wide35% 53.3%±9.2 n=49
Body35% 51.4%±9.3 n=49
T30% 54.0%±9.7 n=42

Consistent with an optimal mix (p = 0.91).

Ad court

1st serveUsagePoints won
Wide28% 55.4%±10.1 n=35
Body23% 44.8%±10.6 n=29
T49% 51.4%±8.6 n=62

Consistent with an optimal mix (p = 0.22).

Return by serve direction

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

ServeCourtDirectionPointsWonvs tour
1stAd courtBody 18 42% −1.9±11.7
1stAd courtT 22 32% −3.5±10.6
1stAd courtWide 33 32% −2.2±9.7
1stDeuce courtBody 24 42% −0.4±11.1
1stDeuce courtT 31 32% +0.1±9.8
1stDeuce courtWide 29 31% −3.2±9.9
2ndAd courtBody 22 61% +5.6±11.1
2ndAd courtT 5 61% +6.4±13.5
2ndAd courtWide 17 53% −0.2±12.0
2ndDeuce courtBody 26 56% +1.5±10.9
2ndDeuce courtT 19 61% +4.8±11.5
2ndDeuce courtWide 3 58% +4.2±14.1

Charted matches