RallyIQ

ATP · Right-handed · 2 charted matches · 2024–2025

Vilius Gaubas

Shot expected value

The share of points Vilius Gaubas 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 51% to the average player · 95 shots

OptionUsedWin %Tour
FH down the line 44% 48.9%±10.4 51.5%
FH through the middle 19% 56.3%±13.2 47.0%
FH crosscourt 19% 64.6%±12.8 52.7%

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

position worth 46% to the average player · 91 shots

OptionUsedWin %Tour
BH crosscourt 31% 51.1%±11.9 47.6%
BH through the middle 27% 46.1%±12.2 43.7%
FH inside-out 23% 59.4%±12.6 51.8%
BH down the line 13% 44.6%±14.5 46.4%

Long rally, 9+: drive to your middle

position worth 51% to the average player · 61 shots

OptionUsedWin %Tour
FH down the line 33% 48.5%±13.0 52.0%
FH crosscourt 28% 55.5%±13.4 52.7%
FH through the middle 21% 53.0%±14.3 47.4%

Long rally, 9+: drive to your backhand side

position worth 46% to the average player · 59 shots

OptionUsedWin %Tour
BH through the middle 37% 59.0%±12.5 43.8%
BH crosscourt 36% 52.7%±12.8 48.0%
BH down the line 19% 49.3%±14.8 46.5%

Serve under pressure

Deuce court

1st serveUsageBreak ptWon when in
Wide 63% 40% ▼ 71% / 73%
Body 1% 0% 64% / 63%
T 36% 60% ▲ 74% / 75%

90 normal · 5 break-point 1st serves

Ad court

1st serveUsageBreak ptWon when in
Wide 58% 73% ▲ 65% / 73%
Body 0% 0% – / 63%
T 42% 27% ▼ 65% / 72%

71 normal · 15 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
Wide62% 67.7%±8.2 n=59
Body1% 67.6%±13.8 n=1
T37% 63.8%±9.8 n=35

Consistent with an optimal mix (p = 0.58).

Ad court

1st serveUsagePoints won
Wide60% 54.2%±9.1 n=52
Body0% 55.8%±14.9 n=0
T40% 57.9%±10.2 n=34

Consistent with an optimal mix (p = 0.54).

Return by serve direction

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

ServeCourtDirectionPointsWonvs tour
1stAd courtBody 2 35% −2.3±13.8
1stAd courtT 9 29% +1.2±12.0
1stAd courtWide 36 31% +3.3±9.3
1stDeuce courtBody 2 38% +0.8±14.1
1stDeuce courtT 39 33% +7.6±9.3
1stDeuce courtWide 18 34% +6.5±11.2
2ndAd courtBody 1 48% −1.6±14.8
2ndAd courtT 5 51% +1.5±13.9
2ndAd courtWide 32 49% +0.8±10.4
2ndDeuce courtT 28 46% −3.3±10.8
2ndDeuce courtWide 5 53% +4.6±13.9

Signature patterns

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

Serve → +1

  1. Wide serve (deuce court) → FH down the line used 40.4% · won 62% · +5.8±10.6 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 Vilius Gaubas wins the point once the sequence happens, weighted by how often it happens. Think of them as chess openings.

  1. FH down the line → BH through the middle → FH down the line used 3.1% · won 51% · −2.6±12.4 vs own baseline · −5.3 vs tour on the same sequence Disrupted by Juan Carlos Prado Angelo (7/14)

Charted matches