RallyIQ

ATP · Left-handed · 3 charted matches · 2022–2024

Daniel Dutra Da Silva

Shot expected value

The share of points Daniel Dutra Da Silva 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 46% to the average player · 80 shots

OptionUsedWin %Tour
BH crosscourt 50% 50.9%±10.6 47.6%
BH down the line 28% 57.8%±12.5 46.4%
BH through the middle 23% 46.7%±13.3 43.7%

Rally, shots 5–8: drive to your middle

position worth 51% to the average player · 65 shots

OptionUsedWin %Tour
FH crosscourt 26% 58.2%±13.3 52.7%
FH down the line 25% 50.8%±13.7 51.5%
BH crosscourt 15% 42.8%±14.9 49.1%

Long rally, 9+: drive to your backhand side

position worth 46% to the average player · 43 shots

OptionUsedWin %Tour
BH crosscourt 65% 36.7%±11.4 48.0%
BH down the line 23% 51.0%±15.0 46.5%

Return +1: drive to your backhand side

position worth 44% to the average player · 42 shots

OptionUsedWin %Tour
BH crosscourt 57% 57.7%±12.3 46.9%
BH through the middle 29% 42.5%±14.4 43.0%

Serve under pressure

Deuce court

1st serveUsageBreak ptWon when in
Wide 34% 86% ▲ 66% / 73%
Body 12% 0% ▼ 56% / 63%
T 54% 14% ▼ 70% / 75%

102 normal · 7 break-point 1st serves

Ad court

1st serveUsageBreak ptWon when in
Wide 36% 57% ▲ 60% / 73%
Body 16% 14% 67% / 63%
T 47% 29% ▼ 71% / 72%

85 normal · 14 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. No measurable response (−0.05 ± 0.15 points per 100 serves for every 10 points of habitual usage), measured from ATP 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
Wide38% 44.6%±9.7 n=41
Body11% 44.5%±12.6 n=12
T51% 51.9%±8.9 n=56

Consistent with an optimal mix (p = 0.35).

Ad court

1st serveUsagePoints won
Wide39% 53.7%±9.9 n=39
Body16% 64.9%±11.6 n=16
T44% 54.1%±9.5 n=44

Consistent with an optimal mix (p = 0.11).

Return by serve direction

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

ServeCourtDirectionPointsWonvs tour
1stAd courtBody 9 41% +4.3±13.0
1stAd courtT 26 29% +1.3±10.0
1stAd courtWide 19 21% −6.5±9.5
1stDeuce courtBody 12 36% −1.0±12.2
1stDeuce courtT 24 25% ±0.0±9.7
1stDeuce courtWide 28 28% +0.7±9.7
2ndAd courtBody 26 48% −1.5±11.0
2ndAd courtT 20 50% +0.3±11.6
2ndAd courtWide 7 50% +1.7±13.5
2ndDeuce courtBody 18 49% +0.4±11.9
2ndDeuce courtT 11 58% +8.6±12.7
2ndDeuce courtWide 24 47% −1.0±11.2

Signature patterns

Recurring sequences that win more than Daniel Dutra Da Silva's own baseline, ranked by edge weighted by how often they're used.

Serve → +1

  1. T serve (deuce court) → FH crosscourt used 47.2% · won 56% · −6.5±9.9 vs own baseline

Return

  1. Not enough data

Rally, consecutive own shots

  1. Not enough data

Discovered sequences

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

  1. BH crosscourt → FH crosscourt → BH crosscourt used 2.6% · won 49% · −1.6±13.1 vs own baseline · −1.5 vs tour on the same sequence Disrupted by Ergi Kirkin (3/7)

Charted matches