RallyIQ

Game plan

Marketa Vondrousova v Sara Bejlek

Every number combines what Marketa Vondrousova does well with what Sara Bejlek allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Marketa Vondrousova wins, best of 3 94%90%: 73%–99% · best of 5: 98%
Serve points won 56.9% / 45.2% Marketa / Sara · tour 55.0%
Strengths only, no similarity priors 94%serve 56.9% / 45.0%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Marketa Vondrousova's record against Sara Bejlek's tactical lookalikes and in their charted head-to-heads (lookalikes: ±0.0 on serve, −1.3 on return vs expectation (417 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

CareerMarketaSara
Direction choice−0.04 ±0.07
better than 47%
−0.14 ±0.15
better than 27%
Shot selection−0.68 ±0.17
better than 7%
+0.24 ±0.28
better than 72%
Execution+0.63 ±0.43
better than 83%
−0.48 ±0.87
better than 34%

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.

Marketa Vondrousova serving

Deuce court

1st serveNowMarketa winsv SaraMatchupOptimal
Wide22%68%67%68.5%±8.737% ▲
Body21%61%53%55.9%±11.56% ▼
T57%63%74%69.0%±10.057%

Optimal v Sara Bejlek: +0.9±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +2.8 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowMarketa winsv SaraMatchupOptimal
Wide51%65%68%67.9%±9.051%
Body17%58%57%58.8%±12.02% ▼
T32%69%65%69.0%±9.147% ▲

Optimal v Sara Bejlek: +0.6±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +2.3 per 100 first serves in before the returner adjusts.

Sara Bejlek serving

Deuce court

1st serveNowSara winsv MarketaMatchupOptimal
Wide29%59%61%53.6%±10.639% ▲
Body36%51%59%52.4%±10.221% ▼
T35%56%65%53.2%±9.940% ▲

Optimal v Marketa Vondrousova: +0.3±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +0.6 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowSara winsv MarketaMatchupOptimal
Wide49%65%64%63.5%±9.255% ▲
Body32%57%56%56.8%±10.517% ▼
T19%53%63%50.9%±12.628% ▲

Optimal v Marketa Vondrousova: +0.2±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +4.6 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.

Marketa Vondrousova returning

1st serve to the forehand

ReturnNowTourOwnv SaraValue
FH slice through the middle52%−6.7+2.4±0.0−4.3±1.3
FH slice crosscourt21%−6.6+3.7±0.0−2.9±1.8
FH through the middle10%+4.2−0.9+1.1+4.4±3.2
FH slice down the line8%−10.5−2.1±0.0−12.6±2.4
FH crosscourt5%+5.3−1.3±0.0+4.0±4.1

Lean FH through the middle: +7.5±3.0 per 100 returns v the current mix (532 returns charted)

1st serve to the backhand

ReturnNowTourOwnv SaraValue
BH through the middle52%+6.0+1.3+1.8+9.1±2.4
BH crosscourt19%+7.7+0.3+2.1+10.2±3.4
BH slice through the middle13%−6.2+0.7±0.0−5.5±1.7
BH down the line11%+2.2+2.0+3.8+8.0±4.6
BH slice down the line3%−12.5+1.2±0.0−11.3±2.4

Lean BH crosscourt: +3.8±3.1 per 100 returns v the current mix (740 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv SaraValue
FH through the middle41%−3.2−0.7+0.2−3.6±3.1
FH crosscourt35%+0.5+0.6+1.3+2.5±4.1
FH down the line18%−0.6+1.6+1.5+2.5±4.9
FH slice through the middle6%−15.2−1.1±0.0−16.3±1.3

Lean FH down the line: +3.7±4.5 per 100 returns v the current mix (142 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv SaraValue
BH through the middle50%−2.6+2.6−0.5−0.4±2.6
BH crosscourt36%+1.5+0.5−0.1+1.9±3.1
BH down the line13%−0.5−1.8+2.8+0.5±5.1

Lean BH crosscourt: +1.3±2.5 per 100 returns v the current mix (351 returns charted, inside the 90% margin)

Sara Bejlek returning

1st serve to the forehand

ReturnNowTourOwnv MarketaValue
FH through the middle35%+4.2−0.9−2.2+1.1±2.7
FH crosscourt29%+5.3+1.3−5.7+0.9±4.1
FH down the line28%+1.5+1.6+1.9+5.0±4.5
FH slice through the middle9%−6.7−0.1+1.0−5.8±2.1

Lean FH down the line: +3.5±3.6 per 100 returns v the current mix (69 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv MarketaValue
BH through the middle50%+6.0+0.1+1.3+7.4±2.4
BH crosscourt28%+7.7+0.6−2.5+5.8±3.3
BH down the line22%+2.2−0.3−1.7+0.1±4.3

Lean BH through the middle: +2.0±1.8 per 100 returns v the current mix (134 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv MarketaValue
BH through the middle35%−2.6−0.3−0.2−3.1±2.3
BH crosscourt31%+1.5−0.3+0.9+2.1±3.4
FH through the middle19%−2.7+0.5+1.6−0.6±2.2
BH down the line15%−0.5−0.5+1.6+0.6±4.1

Lean BH crosscourt: +2.6±2.6 per 100 returns v the current mix (62 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.

Marketa Vondrousova

Favour

ShotEdgeOwnTheirs
FH to their backhand · return+7.7±5.9+2.9+4.8
BH to their forehand · return+6.9±5.9+1.1+5.8
FH to their backhand · return +1+4.4±5.3+2.9+1.4
FH to their forehand · rally+4.2±4.7+2.5+1.7
BH to the middle · return+3.9±3.2+0.6+3.3
BH to their forehand · rally+3.4±5.6−0.5+3.9

Avoid

ShotEdgeOwnTheirs
FH to their forehand · serve +1−7.8±5.8−0.5−7.3
FH to the middle · return−1.4±3.9−2.8+1.3
BH to their backhand · rally−1.1±4.5−2.1+0.9
FH to the middle · serve +1±0.0±3.6−0.7+0.7
BH to the middle · rally+0.4±3.1±0.0+0.3

Sara Bejlek

Favour

ShotEdgeOwnTheirs
FH to their backhand · rally+4.9±4.4+3.8+1.1
BH to their forehand · return+4.8±6.0+4.3+0.4
BH to the middle · return+2.0±3.2+0.7+1.3
FH to the middle · serve +1+1.9±3.6+1.1+0.8
BH to the middle · rally+1.2±3.1−0.4+1.5
BH to their forehand · rally+1.0±5.4+1.8−0.8

Avoid

ShotEdgeOwnTheirs
FH to the middle · return−3.8±3.8−0.4−3.4
FH to their backhand · serve +1−3.3±5.1−2.0−1.3
FH to their backhand · return +1−3.0±5.5−0.2−2.8
BH to their backhand · rally−1.3±4.2+0.5−1.7
FH to their forehand · rally−0.5±4.5−1.1+0.6

Against Sara Bejlek-like opponents

Marketa Vondrousova vMatchesServe pts wonReturn pts won
All charted opponents–56.8%45.0%
Players most similar to Sara Bejlek3 58.8%44.7%

Similar by tactical fingerprint: Diana Shnaider, Alina Korneeva, Marta Kostyuk, Leylah Fernandez, Jil Teichmann, Olga Danilovic, Victoria Jimenez Kasintseva, Beatriz Haddad Maia, Anhelina Kalinina, Martina Trevisan. When two players have rarely met, their records against these lookalikes fill the gap.