RallyIQ

ATP · Left-handed · 6 charted matches · 2019–2020

Prajnesh Gunneswaran

Against an average opponent

Serve points won 63.0% ±3.8 raw 64.8% · tour 63.4% · 372 points
Return points won 33.8% ±3.7 raw 26.8% · tour 36.6% · 400 points

Serve and return points won, refitted against every opponent at once so a record built on weak or strong opposition is put on the same scale. Career, all surfaces, with a 90% margin. Raw is the plain share of points won.

Shot expected value

The share of points Prajnesh Gunneswaran 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 · 67 shots

OptionUsedWin %Tour
FH through the middle 34% 44.3%±12.5 45.2%
BH through the middle 22% 47.8%±13.9 43.7%
FH inside-in 19% 42.2%±14.1 54.7%

Rally, shots 5–8: drive to your middle

position worth 51% to the average player · 66 shots

OptionUsedWin %Tour
FH crosscourt 36% 51.2%±12.4 52.7%
FH down the line 33% 55.5%±12.6 51.5%
FH through the middle 30% 36.0%±12.5 47.0%

Long rally, 9+: drive to your middle

position worth 51% to the average player · 37 shots

OptionUsedWin %Tour
FH down the line 32% 48.1%±14.5 52.0%
BH through the middle 27% 44.5%±14.9 46.8%
FH crosscourt 27% 48.5%±15.0 52.7%

Serve under pressure

Deuce court

1st serveUsageBreak ptWon when in
Wide 34% 57% ▲ 74% / 73%
Body 13% 0% ▼ 65% / 63%
T 54% 43% ▼ 72% / 75%

188 normal · 7 break-point 1st serves

Ad court

1st serveUsageBreak ptWon when in
Wide 31% 50% ▲ 75% / 73%
Body 17% 17% 64% / 63%
T 53% 33% ▼ 68% / 72%

156 normal · 18 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
Wide34% 66.0%±7.9 n=67
Body12% 65.2%±10.7 n=24
T53% 61.2%±6.9 n=104

Consistent with an optimal mix (p = 0.61).

Ad court

1st serveUsagePoints won
Wide33% 71.0%±8.0 n=57
Body17% 59.5%±10.5 n=29
T51% 64.5%±7.2 n=88

Consistent with an optimal mix (p = 0.13).

Repeating the previous direction to the same court: −3.6±8.6 points per 100 against switching. Negative means returners read repeats. Tour-wide, repeating costs women about 0.4 points per 100 and costs men nothing, so men's returners don't measurably anticipate direction. (140 repeats, 217 switches.)

Return by serve direction

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

ServeCourtDirectionPointsWonvs tour
1stAd courtBody 6 36% −0.6±13.2
1stAd courtT 54 24% −3.7±7.7
1stAd courtWide 71 20% −7.3±6.5
1stDeuce courtBody 11 37% −0.1±12.4
1stDeuce courtT 62 17% −8.2±6.4
1stDeuce courtWide 70 25% −2.0±7.1
2ndAd courtBody 17 42% −7.2±11.8
2ndAd courtT 18 50% +0.3±11.9
2ndAd courtWide 24 47% −1.1±11.2
2ndDeuce courtBody 20 45% −3.6±11.6
2ndDeuce courtT 20 38% −11.9±11.3
2ndDeuce courtWide 26 53% +4.5±11.0

Signature patterns

Recurring sequences that win more than Prajnesh Gunneswaran'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) → BH through the middle used 25.6% · won 25% · −6.8±10.6 vs own baseline

Rally, consecutive own shots

  1. FH through the middle → BH through the middle used 22.2% · won 37% · −1.6±11.5 vs own baseline

Charted matches