RallyIQ

ATP · Right-handed · 4 charted matches · 2011–2017

Blaz Kavcic

Against an average opponent

Serve points won 60.4% ±4.2 raw 54.2% · tour 63.4% · 345 points
Return points won 35.6% ±4.1 raw 31.2% · tour 36.6% · 337 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 Blaz Kavcic 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.

Long rally, 9+: drive to your backhand side

position worth 46% to the average player · 122 shots

OptionUsedWin %Tour
BH crosscourt 39% 43.5%±9.9 48.0%
BH through the middle 27% 48.6%±11.3 43.8%
BH slice crosscourt 14% 41.7%±13.3 42.1%
BH slice through the middle 13% 36.2%±13.2 35.1%

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

position worth 46% to the average player · 105 shots

OptionUsedWin %Tour
BH through the middle 35% 48.7%±10.9 43.7%
BH crosscourt 31% 48.1%±11.3 47.6%
BH slice crosscourt 14% 47.1%±13.9 42.5%
BH down the line 12% 37.2%±13.8 46.4%

Long rally, 9+: drive to your middle

position worth 51% to the average player · 99 shots

OptionUsedWin %Tour
FH crosscourt 31% 57.9%±11.4 52.7%
FH through the middle 22% 44.0%±12.6 47.4%
BH through the middle 14% 39.3%±13.8 46.8%
FH down the line 13% 37.6%±13.9 52.0%
BH crosscourt 11% 48.1%±14.8 49.6%

Rally, shots 5–8: drive to your middle

position worth 51% to the average player · 94 shots

OptionUsedWin %Tour
FH through the middle 30% 44.6%±11.8 47.0%
FH down the line 20% 46.9%±13.1 51.5%
FH crosscourt 19% 56.7%±13.2 52.7%
BH through the middle 15% 51.1%±14.1 46.8%

Serve under pressure

Deuce court

1st serveUsageBreak ptWon when in
Wide 47% 50% 65% / 73%
Body 13% 25% ▲ 61% / 63%
T 40% 25% ▼ 68% / 75%

163 normal · 4 break-point 1st serves

Ad court

1st serveUsageBreak ptWon when in
Wide 45% 42% 66% / 73%
Body 12% 13% 62% / 63%
T 43% 46% 67% / 72%

136 normal · 24 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
Wide47% 54.0%±7.9 n=79
Body13% 48.2%±11.4 n=22
T40% 55.3%±8.3 n=66

Consistent with an optimal mix (p = 0.45).

Ad court

1st serveUsagePoints won
Wide44% 51.2%±8.2 n=71
Body12% 56.6%±11.6 n=19
T44% 55.0%±8.2 n=70

Consistent with an optimal mix (p = 0.62).

Repeating the previous direction to the same court: −4.7±4.8 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. (118 repeats, 201 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 39 30% +1.5±9.0
1stAd courtWide 46 20% −7.3±7.5
1stDeuce courtBody 6 42% +5.0±13.5
1stDeuce courtT 47 23% −2.3±7.9
1stDeuce courtWide 44 23% −4.0±8.1
2ndAd courtBody 18 48% −1.9±11.9
2ndAd courtT 5 48% −1.3±13.9
2ndAd courtWide 27 47% −1.9±10.9
2ndDeuce courtBody 27 42% −7.4±10.7
2ndDeuce courtT 31 49% −0.7±10.5
2ndDeuce courtWide 8 48% +0.4±13.3

Signature patterns

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

Serve → +1

  1. Not enough data

Return

  1. Not enough data

Rally, consecutive own shots

  1. BH crosscourt → BH through the middle used 6.3% · won 50% · +1.5±11.6 vs own baseline
  2. BH through the middle → FH crosscourt used 8.0% · won 48% · −0.3±10.9 vs own baseline

Discovered sequences

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

  1. BH crosscourt → BH crosscourt → BH through the middle used 2.0% · won 50% · +4.2±12.0 vs own baseline · +9.3 vs tour on the same sequence Disrupted by Janko Tipsarevic (6/13)
  2. BH through the middle → FH crosscourt → FH crosscourt used 1.8% · won 45% · −0.3±12.2 vs own baseline · +0.1 vs tour on the same sequence Disrupted by Janko Tipsarevic (5/11)

Strengths and vulnerabilities

Value per 100 shots compared with the average player hitting (strengths) or facing (vulnerabilities) the same shot. Only shot types seen at least 120 times.

Hurts opponents most with

FH to their forehand · rally+0.8155

Most exposed to

FH to their forehand · rally−1.7144
FH to their backhand · rally+0.3164
BH to their backhand · rally+1.0124

Active players who are best at the shot in the top weakness: Roberto Carballes Baena, Roberto Bautista Agut, Miomir Kecmanovic, Pedro Martinez, Camilo Ugo Carabelli

Charted matches