RallyIQ

Game plan

Sara Sorribes Tormo v Petra Kvitova

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

Forecast

Sara Sorribes Tormo wins, best of 3 2%90%: 0%–12% · best of 5: 1%
Serve points won 48.0% / 63.3% Sara / Petra · tour 58.1%
Strengths only, no similarity priors 2%serve 48.0% / 63.3%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Sara Sorribes Tormo's record against Petra Kvitova's tactical lookalikes and in their charted head-to-heads. 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

CareerSaraPetra
Direction choice−0.48 ±0.10
better than 0%
+0.13 ±0.04
better than 77%
Shot selection−0.84 ±0.19
better than 5%
+0.33 ±0.07
better than 82%
Execution+2.10 ±0.36
better than 99%
−0.96 ±0.32
better than 18%
Points left on the table3.12 ±0.13
lower than 7%
3.00 ±0.06
lower than 11%

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.

Structural compatibility

Expected edge per 100 rally shots from style alone: Sara Sorribes Tormo +1.30, Petra Kvitova −0.59. Each player's shot mix weighted by their own skill with each shot and by how much the other gives up against it. This is why some rankings gaps don't hold in a given matchup.

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.

Sara Sorribes Tormo serving

Deuce court

1st serveNowSara winsv PetraMatchupOptimal
Wide44%61%66%60.8%±4.959% ▲
Body41%51%57%51.4%±5.326% ▼
T15%59%68%58.5%±7.415%

Optimal v Petra Kvitova: +0.6±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +4.2 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowSara winsv PetraMatchupOptimal
Wide24%58%67%59.4%±6.234% ▲
Body52%53%58%55.3%±5.137% ▼
T24%54%64%53.9%±6.329% ▲

Optimal v Petra Kvitova: +0.4±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.4 per 100 first serves in before the returner adjusts.

Petra Kvitova serving

Deuce court

1st serveNowPetra winsv SaraMatchupOptimal
Wide42%72%62%69.0%±4.848% ▲
Body12%57%51%50.4%±6.40% ▼
T46%66%60%57.8%±5.552% ▲

Optimal v Sara Sorribes Tormo: +0.8±0.6 per 100 first serves (faults included) over the current mix. Serving wide every time would read +7.4 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowPetra winsv SaraMatchupOptimal
Wide54%71%60%65.9%±4.769% ▲
Body8%54%55%52.7%±7.70% ▼
T38%73%57%65.8%±5.531% ▼

Optimal v Sara Sorribes Tormo: +1.0±0.7 per 100 first serves (faults included) over the current mix. Serving wide every time would read +1.1 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.

Sara Sorribes Tormo returning

1st serve to the forehand

ReturnNowTourOwnv PetraValue
FH through the middle55%+4.2+3.8−1.9+6.1±1.9
FH down the line19%+1.5+2.0−5.1−1.6±4.1
FH crosscourt14%+5.3+3.1−0.2+8.3±3.7
FH slice through the middle8%−6.7+0.1−2.0−8.6±2.4
FH slice crosscourt4%−6.6+0.1+0.9−5.7±2.7

Lean FH crosscourt: +5.1±3.5 per 100 returns v the current mix (518 returns charted)

1st serve to the backhand

ReturnNowTourOwnv PetraValue
BH through the middle49%+6.0+2.4+0.8+9.3±1.8
BH crosscourt22%+7.7+4.0+2.7+14.4±2.9
BH down the line12%+2.2+3.2−0.5+4.9±4.1
BH slice through the middle8%−6.2+1.9−2.8−7.1±2.3
BH slice crosscourt3%−4.2−0.8+0.2−4.8±2.7

Lean BH crosscourt: +7.0±2.5 per 100 returns v the current mix (530 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv PetraValue
FH through the middle50%−3.2+1.6−1.0−2.5±2.6
FH crosscourt27%+0.5±0.0+1.0+1.5±4.2
FH down the line23%−0.6+1.9−5.1−3.8±4.9

Lean FH crosscourt: +3.2±3.5 per 100 returns v the current mix (113 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv PetraValue
FH inside-out34%+1.4+0.7−5.1−3.0±4.0
FH through the middle31%−2.7+2.4−1.0−1.3±2.2
BH through the middle18%−2.6+1.7−2.3−3.2±2.2
BH crosscourt8%+1.5−0.1−2.8−1.4±2.9
BH down the line3%−0.5−1.9−3.7−6.1±4.0

Lean FH through the middle: +1.3±2.1 per 100 returns v the current mix (261 returns charted, inside the 90% margin)

Petra Kvitova returning

1st serve to the forehand

ReturnNowTourOwnv SaraValue
FH through the middle49%+4.2−1.4+1.5+4.3±1.7
FH crosscourt25%+5.3−0.7+2.4+7.1±3.2
FH down the line19%+1.5−5.1+3.5±0.0±3.7
FH slice through the middle4%−6.7−0.1+0.9−5.9±2.5
FH slice crosscourt1%−6.6−0.6±0.0−7.3±1.7

Lean FH crosscourt: +3.5±2.7 per 100 returns v the current mix (1275 returns charted)

1st serve to the backhand

ReturnNowTourOwnv SaraValue
BH through the middle47%+6.0−1.9+1.6+5.8±1.7
BH crosscourt26%+7.7−2.2−0.6+5.0±3.0
BH down the line13%+2.2±0.0+0.5+2.6±3.7
BH slice through the middle7%−6.2+0.2−0.1−6.1±2.3
BH slice crosscourt3%−4.2−4.5−0.4−9.1±2.5
FH through the middle1%+5.1+0.2+1.5+6.8±2.1

Lean FH through the middle: +3.3±2.4 per 100 returns v the current mix (1499 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv SaraValue
FH crosscourt43%+0.5−0.4+5.1+5.2±4.0
FH through the middle37%−3.2−4.5+3.0−4.7±2.6
FH down the line20%−0.6−1.3+0.2−1.7±4.9

Lean FH crosscourt: +5.0±2.6 per 100 returns v the current mix (419 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv SaraValue
BH through the middle44%−2.6+0.5+1.6−0.5±2.4
BH crosscourt41%+1.5+1.2+1.6+4.2±3.2
BH down the line15%−0.5+1.0+1.0+1.4±5.2
BH slice through the middle1%−11.7−0.7±0.0−12.4±1.0

Lean BH crosscourt: +2.6±2.3 per 100 returns v the current mix (593 returns charted)

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 grass. Each player's grass record is shrunk toward their all-surface one, so a thin sample on it moves the numbers only a little.

Sara Sorribes Tormo

Favour

ShotEdgeOwnTheirs
FH to their backhand · return+6.2±5.4+3.3+2.9
BH slice to their forehand · rally+5.8±3.7+6.5−0.6
FH to the middle · serve +1+5.8±3.2+5.4+0.4
FH to the middle · return+5.4±3.4+4.8+0.6
FH to their forehand · serve +1+4.7±5.0+5.1−0.4
BH to their backhand · return+4.6±4.6+6.2−1.6

Avoid

ShotEdgeOwnTheirs
BH to their backhand · return +1−5.6±4.1+0.9−6.5
BH slice to their backhand · rally−3.4±3.0+2.0−5.4
FH slice to the middle · rally−0.9±3.5+2.1−3.0
FH to their backhand · serve +1−0.5±5.0+2.3−2.8
FH slice to their backhand · rally−0.3±3.7−0.5+0.2

Petra Kvitova

Favour

ShotEdgeOwnTheirs
BH to their forehand · return+12.0±5.7+7.6+4.4
FH to their backhand · return+10.6±5.4+3.8+6.7
FH to their forehand · return +1+7.8±4.8+3.7+4.1
BH to their backhand · rally+7.4±4.2+2.5+4.9
BH to their forehand · rally+6.1±4.9+0.9+5.2
BH to their backhand · serve +1+6.1±4.7+1.4+4.7

Avoid

ShotEdgeOwnTheirs
BH slice to their backhand · rally−9.4±3.3−4.5−4.9
BH slice to the middle · rally−6.7±3.1−5.0−1.7
FH to the middle · serve +1−4.9±3.3−4.8−0.1
FH to their forehand · rally−3.6±4.2−3.6±0.0
BH to their forehand · return +1−3.4±6.1−0.8−2.6

Against Petra Kvitova-like opponents

Sara Sorribes Tormo vMatchesServe pts wonReturn pts won
All charted opponents–50.6%48.1%

Similar by tactical fingerprint: Elena Rybakina, Madison Keys, Amanda Anisimova, Talia Gibson, Barbora Krejcikova, Dayana Yastremska, Anastasia Pavlyuchenkova, Aliaksandra Sasnovich, Anett Kontaveit, Johanna Konta. When two players have rarely met, their records against these lookalikes fill the gap.