RallyIQ

Game plan

Petra Kvitova v Johanna Konta

Every number combines what Petra Kvitova does well with what Johanna Konta allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Petra Kvitova wins, best of 3 30%90%: 9%–61% · best of 5: 26%
Serve points won 57.3% / 61.3% Petra / Johanna · tour 55.0%
Strengths only, no similarity priors 34%serve 57.8% / 60.9%

Each player's serve and return strength is fitted against every opponent they were charted against, so a record built on weak opponents counts for less. At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers. The result is then nudged by Petra Kvitova's record against Johanna Konta's tactical lookalikes and in their charted head-to-heads (lookalikes: −1.1 on serve, −7.3 on return vs expectation (205 points); head-to-head: −8.6 on serve, +1.2 on return vs expectation (181 points)). A game-by-game Markov chain turns point odds into match odds; the 90% range covers the uncertainty in the two strengths, not the nudges. Charted matches lean toward big events, so treat this as a scouting estimate, not a betting line.

Head to head, per 100 shots

CareerPetraJohanna
Direction choice+0.13 ±0.04
better than 77%
+0.21 ±0.10
better than 87%
Shot selection+0.33 ±0.07
better than 82%
−0.13 ±0.17
better than 34%
Execution−0.96 ±0.32
better than 18%
+0.43 ±0.58
better than 77%
Points left on the table3.00 ±0.06
lower than 11%
2.47 ±0.14
lower than 68%

Each player's career against an average tour player in the same position, adjusted for opponent strength, with a 90% margin (shots clustered by match). Points left on the table is the gap to the best-value direction for the same stroke, so lower is better. Percentiles are within each player's own tour. A side is highlighted only when the gap is larger than the margin on the difference.

Serve plan

The share of points the server wins when a first serve lands in that direction (hover a rate for its 90% interval; ± is the 90% margin). "Matchup" combines the server's rate with how this returner handles that serve. "Optimal" is the mix that wins most against this returner once they start reading a habit, at the response measured across the tour, and only within the range servers' habits actually vary. The gain over the current mix is how exploitable that mix is.

Petra Kvitova serving

Deuce court

1st serveNowPetra winsv JohannaMatchupOptimal
Wide42%72%67%73.6%±5.357% ▲
Body12%57%59%58.2%±8.20% ▼
T46%66%71%69.2%±5.643% ▼

Optimal v Johanna Konta: +0.8±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.9 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowPetra winsv JohannaMatchupOptimal
Wide54%71%63%68.4%±5.459% ▲
Body8%54%59%57.3%±9.40% ▼
T38%73%65%73.4%±5.641% ▲

Optimal v Johanna Konta: +0.8±0.5 per 100 first serves (faults included) over the current mix. Serving T every time would read +4.0 per 100 first serves in before the returner adjusts.

Johanna Konta serving

Deuce court

1st serveNowJohanna winsv PetraMatchupOptimal
Wide47%71%66%71.1%±5.162% ▲
Body12%62%57%62.2%±8.70% ▼
T41%72%68%72.2%±5.538% ▼

Optimal v Petra Kvitova: +0.6±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +1.7 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowJohanna winsv PetraMatchupOptimal
Wide55%70%67%71.7%±5.351% ▼
Body11%53%58%54.9%±9.80% ▼
T34%69%64%68.5%±6.249% ▲

Optimal v Petra Kvitova: +0.7±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.0 per 100 first serves in before the returner adjusts.

Return plan

Value of each return, in points per 100 returns against an average return of the same serve (direction, court, surface): the tour's result with that return, the returner's own edge with it, and what this server gives up when it comes back to that side. Returns with no charted direction are left out, so values compare with each other rather than with zero. Depth isn't a choice here: missed returns have no depth. Serve quality isn't charted, so a block through the middle partly reflects the serve that forced it.

Petra Kvitova returning

1st serve to the forehand

ReturnNowTourOwnv JohannaValue
FH through the middle49%+4.2−1.4+2.2+5.0±2.2
FH crosscourt25%+5.3−0.7+2.0+6.7±3.8
FH down the line19%+1.5−5.1−0.9−4.5±4.2
FH slice through the middle4%−6.7−0.1−1.6−8.4±2.6
FH slice crosscourt1%−6.6−0.6−0.1−7.3±2.2

Lean FH crosscourt: +3.8±3.1 per 100 returns v the current mix (1275 returns charted)

1st serve to the backhand

ReturnNowTourOwnv JohannaValue
BH through the middle47%+6.0−1.9+0.5+4.6±2.0
BH crosscourt26%+7.7−2.2+1.0+6.6±3.1
BH down the line13%+2.2±0.0+0.2+2.3±4.2
BH slice through the middle7%−6.2+0.2−0.8−6.8±2.5
BH slice crosscourt3%−4.2−4.5+0.5−8.1±2.7
FH through the middle1%+5.1+0.2+2.2+7.5±2.5

Lean FH through the middle: +4.2±2.8 per 100 returns v the current mix (1499 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv JohannaValue
FH crosscourt43%+0.5−0.4−0.3−0.2±4.1
FH through the middle37%−3.2−4.5+2.6−5.1±2.8
FH down the line20%−0.6−1.3−1.9−3.8±5.2

Lean FH crosscourt: +2.5±2.8 per 100 returns v the current mix (419 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv JohannaValue
BH through the middle44%−2.6+0.5+3.3+1.2±2.3
BH crosscourt41%+1.5+1.2−0.4+2.3±3.2
BH down the line15%−0.5+1.0+0.2+0.7±5.1
BH slice through the middle1%−11.7−0.7±0.0−12.4±1.0

Lean BH crosscourt: +0.8±2.3 per 100 returns v the current mix (593 returns charted, inside the 90% margin)

Johanna Konta returning

1st serve to the forehand

ReturnNowTourOwnv PetraValue
FH through the middle46%+4.2−2.0−1.9+0.2±2.3
FH crosscourt27%+5.3+3.3−0.2+8.5±3.7
FH down the line13%+1.5−1.0−5.1−4.6±4.2
FH slice through the middle11%−6.7+1.0−2.0−7.7±2.4
FH slice crosscourt2%−6.6+0.4+0.9−5.3±2.3

Lean FH crosscourt: +7.6±3.0 per 100 returns v the current mix (277 returns charted)

1st serve to the backhand

ReturnNowTourOwnv PetraValue
BH through the middle34%+6.0+1.3+0.8+8.2±2.1
BH slice through the middle22%−6.2−0.7−2.8−9.6±2.3
BH crosscourt20%+7.7+1.7+2.7+12.1±3.0
BH down the line10%+2.2−1.7−0.5±0.0±4.1
BH slice crosscourt8%−4.2−1.7+0.2−5.7±2.9

Lean BH crosscourt: +10.2±2.6 per 100 returns v the current mix (339 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv PetraValue
FH crosscourt60%+0.5+0.9+1.0+2.4±4.2
FH through the middle40%−3.2−1.2−1.0−5.3±2.5

Lean FH crosscourt: +3.1±2.0 per 100 returns v the current mix (62 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv PetraValue
BH through the middle49%−2.6−0.8−2.3−5.7±2.2
BH crosscourt35%+1.5−0.8−2.8−2.1±3.1
BH down the line16%−0.5+0.9−3.7−3.3±4.6

Lean BH crosscourt: +1.9±2.4 per 100 returns v the current mix (158 returns charted, inside the 90% margin)

Rally plan

Edge, in points per 100 shots: the hitter's skill with the shot (own) plus how much the receiver usually gives up against it (theirs), both measured against the tour average on clay. Each player's clay record is shrunk toward their all-surface one, so a thin sample on it moves the numbers only a little.

Petra Kvitova

Favour

ShotEdgeOwnTheirs
BH to their forehand · serve +1+3.2±5.8+1.0+2.2
FH to their backhand · serve +1+1.8±4.5+0.2+1.6
FH to their backhand · return−0.2±4.9−1.3+1.1
BH to the middle · return−0.3±2.8−2.4+2.1
BH slice to their backhand · rally−0.9±3.9−4.1+3.2
FH to the middle · return +1−0.9±3.3−3.0+2.1

Avoid

ShotEdgeOwnTheirs
BH to their backhand · return−8.0±4.3−4.9−3.1
BH to their forehand · rally−6.9±5.1−1.6−5.3
BH to the middle · return +1−6.0±3.2−2.6−3.4
FH to their forehand · rally−5.4±4.5−4.4−0.9
BH to the middle · rally−5.3±2.9−5.4+0.1

Johanna Konta

Favour

ShotEdgeOwnTheirs
BH to their forehand · rally+5.5±5.5+6.4−0.9
BH to their forehand · return+2.6±5.2+2.2+0.4
BH to their forehand · serve +1+2.4±6.1+1.1+1.3
BH to the middle · serve +1+1.8±3.0+2.0−0.2
FH to their forehand · return +1+0.1±5.1+4.3−4.1
FH to their backhand · serve +1−0.2±4.8+2.0−2.2

Avoid

ShotEdgeOwnTheirs
BH to their backhand · return +1−10.0±4.5−2.5−7.5
BH to their backhand · rally−9.0±4.2−2.1−6.9
BH to the middle · rally−5.5±2.7−3.6−1.9
FH to the middle · return−5.3±3.2−3.3−2.0
BH to their backhand · return−4.8±4.2+0.5−5.4

Against Johanna Konta-like opponents

Petra Kvitova vMatchesServe pts wonReturn pts won
All charted opponents–60.7%42.9%
Players most similar to Johanna Konta2 60.2%38.1%
Johanna Konta (charted head-to-head)1 52.3%40.9%

Similar by tactical fingerprint: Anna Kalinskaya, Xin Yu Wang, Barbora Krejcikova, Aryna Sabalenka, Anastasia Pavlyuchenkova, Sofia Kenin, Olivia Gadecki, Aliaksandra Sasnovich, Anett Kontaveit. When two players have rarely met, their records against these lookalikes fill the gap.

Charted head-to-head