RallyIQ

ATP · Left-handed · 25 charted matches · 1991–1999

Petr Korda

Archetype: Serve-and-volleyer · Net rusher

Against an average opponent

Serve points won 64.7% ±2.8 raw 63.4% · tour 63.4% · 2,647 points
Return points won 38.6% ±2.9 raw 35.2% · tour 36.6% · 2,613 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.

Value per 100 shots

Direction choice +0.06 ±0.08 better than 72% of ATP · raw +0.06
Shot selection −0.66 ±0.14 better than 6% of ATP · raw −0.66
Execution −0.78 ±0.45 better than 34% of ATP · raw −0.76
Tactical adaptability +0.08 first serves toward what's working, set to set · 25 matches
Adaptation speed −0.05 same, every two to three service games · per 100 first serves
Points left on the table 3.32 per 100 shots vs best direction · lower than 10% of ATP

Points gained per 100 shots compared with an average tour player in the same position, adjusted for the strength of the opponents faced, with a 90% margin (shots clustered by match). Raw is before the opponent adjustment. Built on 11,245 shots.

Shot expected value

The share of points Petr Korda 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 · 520 shots

OptionUsedWin %Tour
BH crosscourt 24% 49.3%±6.8 47.6%
BH down the line 15% 45.7%±8.2 46.4%
BH slice crosscourt 15% 51.6%±8.4 42.5%
BH through the middle 14% 48.7%±8.5 43.7%
BH slice through the middle 13% 40.0%±8.7 35.1%
BH slice down the line 10% 38.1%±9.4 37.1%
FH inside-in 3% 47.0%±13.7 54.7%

Rally, shots 5–8: drive to your middle

position worth 51% to the average player · 367 shots

OptionUsedWin %Tour
FH crosscourt 25% 46.5%±7.7 52.7%
FH down the line 15% 50.4%±9.6 51.5%
BH down the line 13% 50.2%±10.0 48.3%
FH through the middle 10% 55.9%±10.7 47.0%
BH crosscourt 9% 44.1%±11.1 49.1%
BH through the middle 8% 34.7%±11.1 46.8%
FH crosscourt + approach 7% 66.6%±11.6 69.9%
BH slice down the line 4% 48.8%±14.3 45.6%

Serve +1: mid-depth return to your middle

position worth 54% to the average player · 314 shots

OptionUsedWin %Tour
FH crosscourt 31% 53.6%±7.6 56.0%
FH down the line 19% 44.1%±9.1 53.4%
FH through the middle 12% 42.9%±10.8 47.3%
BH down the line 10% 41.4%±11.3 50.6%
BH through the middle 8% 42.3%±12.0 47.3%
FH crosscourt + approach 8% 65.1%±11.8 73.2%
BH crosscourt 6% 53.6%±13.1 49.5%

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

position worth 44% to the average player · 313 shots

OptionUsedWin %Tour
FH crosscourt 57% 50.4%±5.8 46.6%
FH down the line 23% 44.5%±8.5 44.7%
FH through the middle 20% 45.5%±9.0 41.5%

Serve under pressure

Pressure predictability index +3 How much less varied Petr Korda's first-serve direction gets on break points. Positive means easier to read. Based on 220 break-point first serves.

Deuce court

1st serveUsageBreak ptWon when in
Wide 37% 45% ▲ 75% / 73%
Body 11% 14% 60% / 63%
T 52% 40% ▼ 73% / 75%

1,305 normal · 42 break-point 1st serves

Ad court

1st serveUsageBreak ptWon when in
Wide 62% 64% 69% / 73%
Body 10% 7% 66% / 63%
T 28% 29% 72% / 72%

1,045 normal · 178 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 wonOptimal
Wide37% 63.8%±3.4 n=500 50% ▲
Body11% 56.6%±6.0 n=153 0% ▼
T52% 64.6%±2.9 n=694 50% ▼

Consistent with an optimal mix (p = 0.07).
Optimal mix: +0.8 per 100 first serves.

Ad court

1st serveUsagePoints wonOptimal
Wide63% 63.4%±2.8 n=766 59% ▼
Body10% 60.1%±6.6 n=117 0% ▼
T28% 65.1%±4.1 n=340 41% ▲

Consistent with an optimal mix (p = 0.47).
Optimal mix: +0.4 per 100 first serves.

Exploitability 0.63 points per 100 first serves What the optimal mix would win over the current one, both courts. More exploitable than 100% of ATP servers. Tested on matches they weren't fitted on, ATP mixes picked this way win 0.33 per 100 first serves on average.

Repeating the previous direction to the same court: −3.0±3.3 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. (1,056 repeats, 1,464 switches.)

Return by serve direction

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

ServeCourtDirectionPointsWonvs tour
1stAd courtBody 56 35% −2.0±8.5
1stAd courtT 349 25% −2.6±3.7
1stAd courtWide 298 27% −0.4±4.0
1stDeuce courtBody 63 40% +3.1±8.3
1stDeuce courtT 262 19% −5.7±3.8
1stDeuce courtWide 453 27% −0.4±3.3
2ndAd courtBody 117 59% +9.7±6.7
2ndAd courtT 228 48% −1.7±5.1
2ndAd courtWide 162 51% +2.9±5.9
2ndDeuce courtBody 114 57% +8.4±6.8
2ndDeuce courtT 76 50% +0.2±8.0
2ndDeuce courtWide 358 42% −5.7±4.1

Signature patterns

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

Serve → +1

  1. Wide serve (ad court) → FH down the line + approach used 2.1% · won 63% · −4.8±9.1 vs own baseline
  2. T serve (deuce court) → FH crosscourt used 4.0% · won 62% · −5.6±7.3 vs own baseline
  3. T serve (deuce court) → BH crosscourt used 2.6% · won 59% · −9.4±8.7 vs own baseline
  4. Wide serve (ad court) → FH through the middle used 2.4% · won 57% · −11.5±8.9 vs own baseline
  5. Wide serve (ad court) → FH down the line used 4.6% · won 59% · −9.1±7.0 vs own baseline

Return

  1. vs wide serve (ad court) → FH crosscourt, mid used 4.1% · won 55% · +20.0±8.0 vs own baseline
  2. vs wide serve (deuce court) → BH slice crosscourt, mid used 2.6% · won 53% · +18.4±9.5 vs own baseline
  3. vs T serve (ad court) → BH down the line, mid used 2.7% · won 50% · +15.0±9.3 vs own baseline
  4. vs wide serve (deuce court) → BH down the line, mid used 2.4% · won 51% · +15.7±9.6 vs own baseline
  5. vs wide serve (deuce court) → BH crosscourt, mid used 2.6% · won 47% · +12.4±9.4 vs own baseline

Rally, consecutive own shots

  1. BH crosscourt → FH crosscourt used 2.3% · won 58% · +10.1±10.4 vs own baseline
  2. BH crosscourt → BH slice crosscourt used 1.6% · won 58% · +9.7±11.4 vs own baseline
  3. FH down the line → BH down the line used 1.7% · won 55% · +7.5±11.3 vs own baseline
  4. FH crosscourt → BH crosscourt used 5.3% · won 52% · +4.0±8.0 vs own baseline
  5. FH crosscourt → FH through the middle used 1.9% · won 54% · +6.3±11.0 vs own baseline

Discovered sequences

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

  1. T serve → BH slice through the middle return, mid → FH crosscourt used 0.4% · won 58% · +6.6±12.4 vs own baseline · +4.7 vs tour on the same sequence
  2. FH crosscourt → BH through the middle → FH crosscourt used 0.7% · won 56% · +4.9±11.0 vs own baseline · +7.2 vs tour on the same sequence Disrupted by Pete Sampras (2/6)
  3. Wide serve → BH through the middle return, mid → FH down the line used 0.4% · won 56% · +5.3±12.3 vs own baseline · +5.8 vs tour on the same sequence
  4. FH crosscourt → BH crosscourt → FH through the middle used 0.5% · won 56% · +5.0±12.0 vs own baseline · +19.2 vs tour on the same sequence
  5. BH crosscourt → FH crosscourt → BH slice crosscourt used 0.5% · won 56% · +5.0±12.0 vs own baseline · +18.1 vs tour on the same sequence Disrupted by Patrick Rafter (3/6)
  6. FH crosscourt → BH crosscourt → FH crosscourt used 1.3% · won 54% · +3.0±9.0 vs own baseline · +6.8 vs tour on the same sequence

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

BH slice to their forehand · rally+3.0154
BH to their forehand · return +1+2.4148
FH to their backhand · return+2.3282
BH to their backhand · serve +1+1.2201
FH to their backhand · return +1+0.5197

Most exposed to

BH slice to their forehand · return−4.5140
BH slice to the middle · return−2.0292
Wide 2nd serve · deuce court−1.5358
BH to their forehand · return−1.4216
T 2nd serve · ad court−1.2228

Active players who are best at the shot in the top weakness: Rafael Nadal, Denis Shapovalov, Andy Murray, Lorenzo Musetti, Stan Wawrinka

Tactical fingerprint

Each bar shows how far a style trait is from the ATP average, in standard deviations.

BH down the line35%
Wide serves · ad63%
Unforced errors / shot13.7%
Point-ending shots32.5%
T serves · deuce52%
Backhand slice28%
Chipped returns20%
Points at net13%
Serve & volley9%
Forehand share53%
FH down the line30%
1st serve in60%
Drop shots / shot0.4%
Run-around forehands9%
Wide serves · deuce37%
Avg rally length3.3
Through the middle19%
T serves · ad28%
Deep returns14%

Plays most like

  1. Marcelo Rios 1995–2001 plan v
  2. Ivan Ljubicic 2003–2011 plan v
  3. Gustavo Kuerten 1997–2007 plan v
  4. Kevin King 2019–2019 plan v
  5. Fernando Verdasco 2005–2022 plan v
  6. Tommy Haas 1996–2017 plan v
  7. Wayne Ferreira 1992–2003 plan v
  8. Gilles Muller 2005–2017 plan v

Closest from another era

  1. Kevin King 2019–2019
  2. Fernando Verdasco 2005–2022
  3. Gilles Muller 2005–2017

Charted matches