RallyIQ

Game plan

Anastasia Pavlyuchenkova v Donna Vekic

Every number combines what Anastasia Pavlyuchenkova does well with what Donna Vekic allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Anastasia Pavlyuchenkova wins, best of 3 34%90%: 19%–51% · best of 5: 30%
Serve points won 56.0% / 59.2% Anastasia / Donna · tour 56.4%
Strengths only, no similarity priors 32%serve 55.8% / 59.3%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Anastasia Pavlyuchenkova's record against Donna Vekic's tactical lookalikes and in their charted head-to-heads (lookalikes: +2.8 on serve, +1.6 on return vs expectation (210 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

CareerAnastasiaDonna
Direction choice+0.01 ±0.08
better than 55%
−0.09 ±0.05
better than 38%
Shot selection+0.45 ±0.08
better than 92%
+0.24 ±0.09
better than 72%
Execution−1.55 ±0.63
better than 10%
−0.33 ±0.37
better than 43%
Points left on the table2.57 ±0.11
lower than 55%
2.67 ±0.08
lower than 39%

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: Anastasia Pavlyuchenkova −1.14, Donna Vekic +0.49. 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.

Anastasia Pavlyuchenkova serving

Deuce court

1st serveNowAnastasia winsv DonnaMatchupOptimal
Wide40%65%69%67.4%±5.355% ▲
Body19%53%60%55.9%±7.34% ▼
T40%65%69%66.4%±5.741%

Optimal v Donna Vekic: +0.4±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +2.6 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowAnastasia winsv DonnaMatchupOptimal
Wide45%65%67%67.0%±5.644%
Body20%59%58%61.2%±7.75% ▼
T36%59%70%65.2%±5.951% ▲

Optimal v Donna Vekic: +0.6±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +1.8 per 100 first serves in before the returner adjusts.

Donna Vekic serving

Deuce court

1st serveNowDonna winsv AnastasiaMatchupOptimal
Wide44%70%65%69.2%±5.144%
Body15%65%65%72.1%±6.80% ▼
T41%73%75%79.4%±4.856% ▲

Optimal v Anastasia Pavlyuchenkova: +0.6±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +5.6 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowDonna winsv AnastasiaMatchupOptimal
Wide48%68%72%74.1%±5.164% ▲
Body19%59%59%61.9%±7.84% ▼
T32%67%65%67.3%±6.132%

Optimal v Anastasia Pavlyuchenkova: +0.3±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +4.5 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.

Anastasia Pavlyuchenkova returning

1st serve to the forehand

ReturnNowTourOwnv DonnaValue
FH through the middle41%+4.2−1.4−1.2+1.6±2.3
FH crosscourt27%+5.3−1.7+0.3+3.9±4.0
FH down the line19%+1.5−0.5−3.7−2.6±4.2
FH slice through the middle6%−6.7−0.7+0.3−7.2±2.4
FH slice down the line4%−10.5−0.7−0.1−11.3±3.2

Lean FH crosscourt: +3.8±3.2 per 100 returns v the current mix (467 returns charted)

1st serve to the backhand

ReturnNowTourOwnv DonnaValue
BH through the middle46%+6.0+0.2−0.5+5.7±2.1
BH crosscourt30%+7.7−1.8−3.1+2.9±3.1
BH down the line12%+2.2+0.2−1.3+1.0±4.6
BH slice through the middle5%−6.2−0.9−0.2−7.3±2.4
BH slice down the line4%−12.5−0.5+1.2−11.8±3.3

Lean BH through the middle: +3.2±1.6 per 100 returns v the current mix (398 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv DonnaValue
FH crosscourt39%+0.5−3.3+4.2+1.5±4.1
FH down the line32%−0.6−3.0−2.1−5.6±4.7
FH through the middle29%−3.2−1.9+0.3−4.8±2.6

Lean FH crosscourt: +4.1±3.0 per 100 returns v the current mix (137 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv DonnaValue
BH through the middle44%−2.6−0.4+0.2−2.8±2.3
BH crosscourt37%+1.5+0.2−1.1+0.6±3.3
BH down the line16%−0.5−0.4+0.2−0.7±5.0
FH inside-in3%+0.7+1.3+4.2+6.3±3.4

Lean BH crosscourt: +1.6±2.4 per 100 returns v the current mix (230 returns charted, inside the 90% margin)

Donna Vekic returning

1st serve to the forehand

ReturnNowTourOwnv AnastasiaValue
FH through the middle54%+4.2+1.2−2.1+3.2±2.2
FH crosscourt20%+5.3+0.1+0.5+5.9±3.8
FH down the line18%+1.5+0.4−3.0−1.0±4.3
FH slice through the middle5%−6.7−0.9−0.5−8.2±2.6
FH slice crosscourt3%−6.6−3.7+2.1−8.3±2.7

Lean FH crosscourt: +3.9±3.4 per 100 returns v the current mix (740 returns charted)

1st serve to the backhand

ReturnNowTourOwnv AnastasiaValue
BH through the middle53%+6.0+1.1−1.1+6.0±1.9
BH crosscourt21%+7.7+1.7−0.3+9.0±3.1
BH down the line19%+2.2+0.2−0.2+2.1±4.2
BH slice through the middle4%−6.2−3.2+1.3−8.2±2.5
BH slice crosscourt2%−4.2−3.7−0.3−8.1±2.4

Lean BH crosscourt: +4.2±2.8 per 100 returns v the current mix (867 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv AnastasiaValue
FH through the middle47%−3.2+0.3−0.5−3.4±2.9
FH crosscourt27%+0.5−2.0+0.6−0.8±4.4
FH down the line22%−0.6+0.7−2.6−2.5±5.2
FH slice through the middle5%−15.2+0.4−0.7−15.5±2.0

Lean FH crosscourt: +2.3±3.7 per 100 returns v the current mix (207 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv AnastasiaValue
BH through the middle50%−2.6+0.2−0.8−3.1±2.2
BH down the line20%−0.5−0.5−1.9−2.9±5.1
BH crosscourt17%+1.5−0.5−0.7+0.4±3.4
FH through the middle7%−2.7−0.6−0.5−3.8±2.5
FH inside-out5%+1.4−1.8−2.6−3.0±4.1

Lean BH crosscourt: +2.8±3.2 per 100 returns v the current mix (477 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 hard. Each player's hard record is shrunk toward their all-surface one, so a thin sample on it moves the numbers only a little.

Anastasia Pavlyuchenkova

Favour

ShotEdgeOwnTheirs
BH to their backhand · return +1+2.6±4.1+0.2+2.4
FH to their forehand · rally+2.1±2.4+0.5+1.6
BH to their forehand · return +1+2.1±6.0+0.7+1.4
FH to their backhand · rally+1.9±3.0−0.3+2.2
FH to the middle · serve +1+1.8±2.7−0.1+1.8
BH to their backhand · rally+1.1±2.8−0.7+1.8

Avoid

ShotEdgeOwnTheirs
FH to their backhand · return−7.7±4.5−5.1−2.5
BH to their forehand · rally−5.0±4.5−3.5−1.5
BH to their forehand · return−4.1±5.1−3.2−0.9
BH to their backhand · return−3.5±3.1−1.8−1.8
FH to the middle · return +1−3.5±3.3−3.6+0.1

Donna Vekic

Favour

ShotEdgeOwnTheirs
FH to their backhand · rally+4.4±3.3+1.8+2.6
FH to their forehand · rally+3.6±2.6+1.3+2.2
FH to their backhand · return +1+3.3±4.7+1.9+1.4
FH to their backhand · serve +1+2.4±3.7±0.0+2.4
FH to their forehand · return+2.3±4.3+1.5+0.9
FH to the middle · rally+2.0±2.1+0.4+1.6

Avoid

ShotEdgeOwnTheirs
FH to their backhand · return−2.4±4.4+1.9−4.3
BH to their forehand · serve +1−1.2±5.4−6.8+5.5
BH to the middle · return−1.2±1.8+0.3−1.5
BH to the middle · return +1−1.1±2.8−0.9−0.2
BH to their forehand · rally−1.0±4.6−2.7+1.6

Against Donna Vekic-like opponents

Anastasia Pavlyuchenkova vMatchesServe pts wonReturn pts won
All charted opponents–53.7%39.9%
Players most similar to Donna Vekic1 58.1%41.9%

Similar by tactical fingerprint: Xin Yu Wang, Marta Kostyuk, Leylah Fernandez, Dayana Yastremska, Qinwen Zheng, Katie Boulter, Aliaksandra Sasnovich, Harriet Dart, Sabine Lisicki. When two players have rarely met, their records against these lookalikes fill the gap.