RallyIQ

Game plan

Roberta Vinci v Karolina Muchova

Every number combines what Roberta Vinci does well with what Karolina Muchova allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Roberta Vinci wins, best of 3 49%90%: 17%–82% · best of 5: 49%
Serve points won 56.1% / 56.3% Roberta / Karolina · tour 55.0%
Strengths only, no similarity priors 49%serve 56.1% / 56.3%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Roberta Vinci's record against Karolina Muchova'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

CareerRobertaKarolina
Direction choice+0.25 ±0.27
better than 91%
−0.01 ±0.05
better than 52%
Shot selection−2.26 ±0.24
better than 1%
−0.17 ±0.09
better than 30%
Execution+0.99 ±0.81
better than 91%
+0.22 ±0.28
better than 70%
Points left on the table3.02 ±0.45
lower than 11%
2.88 ±0.08
lower than 18%

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.

Roberta Vinci serving

Deuce court

1st serveNowRoberta winsv KarolinaMatchupOptimal
Wide50%65%65%63.9%±7.149% ▼
Body8%47%58%47.1%±12.10% ▼
T42%67%69%67.7%±8.051% ▲

Optimal v Karolina Muchova: +0.5±0.6 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +3.6 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowRoberta winsv KarolinaMatchupOptimal
Wide45%70%66%70.5%±7.639% ▼
Body10%53%54%50.0%±12.40% ▼
T45%65%64%64.2%±8.061% ▲

Optimal v Karolina Muchova: +0.7±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +4.8 per 100 first serves in before the returner adjusts.

Karolina Muchova serving

Deuce court

1st serveNowKarolina winsv RobertaMatchupOptimal
Wide40%68%60%62.8%±7.640%
Body22%58%57%57.5%±9.97% ▼
T38%74%63%69.7%±7.053% ▲

Optimal v Roberta Vinci: +1.1±1.0 per 100 first serves (faults included) over the current mix. Serving T every time would read +5.4 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowKarolina winsv RobertaMatchupOptimal
Wide48%68%66%68.9%±6.952% ▲
Body14%57%52%52.6%±11.70% ▼
T39%67%67%69.5%±7.848% ▲

Optimal v Roberta Vinci: +0.7±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +2.6 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.

Roberta Vinci returning

1st serve to the forehand

ReturnNowTourOwnv KarolinaValue
FH through the middle44%+4.2+1.7−0.1+5.8±2.5
FH crosscourt24%+5.3+3.2−1.4+7.2±3.9
FH down the line23%+1.5+1.2−0.7+2.0±4.1
FH slice through the middle9%−6.7+0.7−1.7−7.7±2.1

Lean FH crosscourt: +3.1±3.3 per 100 returns v the current mix (140 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv KarolinaValue
BH slice through the middle49%−6.2−0.1−1.1−7.5±2.4
BH slice crosscourt39%−4.2+2.3−2.1−3.9±3.0
BH slice down the line13%−12.5+3.2−0.9−10.1±3.5

Lean BH slice crosscourt: +2.5±2.3 per 100 returns v the current mix (171 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv KarolinaValue
FH crosscourt45%+0.5+1.8−3.9−1.5±3.7
FH through the middle32%−3.2±0.0+0.5−2.6±2.3
FH down the line23%−0.6−0.8−1.0−2.4±4.1

Lean FH crosscourt: +0.5±2.4 per 100 returns v the current mix (44 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv KarolinaValue
BH slice crosscourt56%−7.5−0.4−1.3−9.1±2.8
BH slice through the middle25%−11.7+0.1+0.3−11.3±2.1
FH through the middle11%−2.7−0.5+0.5−2.7±1.8
FH inside-in9%+0.7+0.9−3.9−2.2±3.4

Lean BH slice crosscourt: −0.8±1.4 per 100 returns v the current mix (81 returns charted, inside the 90% margin)

Karolina Muchova returning

1st serve to the forehand

ReturnNowTourOwnv RobertaValue
FH through the middle41%+4.2+1.1+1.2+6.5±2.5
FH slice through the middle18%−6.7+3.0+1.1−2.6±2.0
FH crosscourt15%+5.3−0.7+5.6+10.2±4.0
FH down the line14%+1.5−2.9−1.1−2.4±4.4
FH slice crosscourt9%−6.6+2.2±0.0−4.5±1.9

Lean FH crosscourt: +7.6±3.7 per 100 returns v the current mix (1182 returns charted)

1st serve to the backhand

ReturnNowTourOwnv RobertaValue
BH through the middle46%+6.0−0.4−1.0+4.6±2.4
BH crosscourt20%+7.7+0.9+0.6+9.3±3.2
BH slice through the middle14%−6.2+0.2−0.8−6.9±2.1
BH down the line12%+2.2−1.2−1.9−0.9±4.3
BH slice crosscourt5%−4.2−0.8+0.9−4.1±2.9

Lean BH crosscourt: +6.9±2.9 per 100 returns v the current mix (1188 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv RobertaValue
FH through the middle43%−3.2−1.4−0.1−4.6±3.0
FH crosscourt28%+0.5−0.4+4.8+5.0±4.4
FH down the line21%−0.6−1.9+2.9+0.4±5.2
FH slice through the middle5%−15.2+0.1±0.0−15.1±1.5
FH slice crosscourt3%−14.9+1.3±0.0−13.6±1.3

Lean FH crosscourt: +6.7±3.6 per 100 returns v the current mix (247 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv RobertaValue
BH through the middle40%−2.6+1.0±0.0−1.6±2.5
BH crosscourt31%+1.5−0.4+2.4+3.5±3.4
BH down the line20%−0.5−0.3−0.9−1.8±5.0
FH inside-in5%+0.7−1.9+4.8+3.7±4.6
FH through the middle3%−2.7+1.7−0.1−1.0±2.5

Lean FH inside-in: +3.4±4.7 per 100 returns v the current mix (582 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.

Roberta Vinci

Favour

ShotEdgeOwnTheirs
FH to their backhand · return+4.9±5.4+2.4+2.6
FH to their forehand · serve +1+2.8±5.1+2.0+0.8
FH to their backhand · serve +1+1.9±5.0+1.1+0.8
FH to their forehand · return+0.6±5.7+3.8−3.2
FH to their forehand · return +1−0.5±5.2+1.0−1.5
FH to their forehand · rally−0.5±4.4+2.1−2.6

Avoid

ShotEdgeOwnTheirs
FH to their backhand · rally−6.1±4.5−4.0−2.1
BH slice to their backhand · rally−4.0±3.6−0.5−3.4
BH slice to the middle · return +1−3.6±3.2−2.0−1.7
BH slice to the middle · return−3.6±3.1−1.5−2.2
BH slice to their backhand · return−3.0±3.5−0.4−2.7

Karolina Muchova

Favour

ShotEdgeOwnTheirs
FH to their forehand · return+9.5±5.8+0.3+9.2
FH to their backhand · return+2.3±5.4+2.6−0.3
BH to their forehand · rally+2.0±5.8+1.0+0.9
FH to the middle · return+2.0±3.4+0.2+1.8
BH to their backhand · return+1.8±4.3±0.0+1.8
FH to their forehand · return +1−1.9±5.2−3.2+1.3

Avoid

ShotEdgeOwnTheirs
FH to their forehand · serve +1−13.0±5.3−1.8−11.2
BH to their forehand · return−8.0±5.9−1.6−6.4
FH to their backhand · serve +1−5.6±5.0+2.3−7.9
FH to the middle · rally−5.3±3.1−2.6−2.7
FH to their backhand · rally−5.2±4.4−0.7−4.5

Against Karolina Muchova-like opponents

Roberta Vinci vMatchesServe pts wonReturn pts won
All charted opponents–57.1%45.1%

Similar by tactical fingerprint: Cristina Bucsa, Karolina Pliskova, Bianca Andreescu, Marta Kostyuk, Leylah Fernandez, Olivia Gadecki, Petra Martic, Alison Van Uytvanck, R, Kiki Bertens. When two players have rarely met, their records against these lookalikes fill the gap.