RallyIQ

Game plan

Karolina Muchova v Monica Seles

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

Forecast

Karolina Muchova wins, best of 3 59%90%: 42%–75% · best of 5: 62%
Serve points won 60.0% / 58.2% Karolina / Monica · tour 56.4%
Strengths only, no similarity priors 62%serve 60.6% / 58.2%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Karolina Muchova's record against Monica Seles's tactical lookalikes and in their charted head-to-heads (lookalikes: −10.7 on serve, +0.1 on return vs expectation (179 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

CareerKarolinaMonica
Direction choice−0.01 ±0.05
better than 52%
+0.28 ±0.09
better than 93%
Shot selection−0.17 ±0.09
better than 30%
+0.21 ±0.12
better than 67%
Execution+0.22 ±0.28
better than 70%
+0.14 ±0.30
better than 68%
Points left on the table2.88 ±0.08
lower than 18%
2.59 ±0.13
lower than 53%

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.

Karolina Muchova serving

Deuce court

1st serveNowKarolina winsv MonicaMatchupOptimal
Wide40%68%65%67.4%±4.740%
Body22%58%58%58.6%±6.77% ▼
T38%74%65%71.8%±4.853% ▲

Optimal v Monica Seles: +1.1±0.8 per 100 first serves (faults included) over the current mix. Serving T every time would read +4.7 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowKarolina winsv MonicaMatchupOptimal
Wide48%68%59%62.1%±5.253% ▲
Body14%57%54%54.7%±8.20% ▼
T39%67%63%66.3%±5.047% ▲

Optimal v Monica Seles: +0.5±0.8 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.

Monica Seles serving

Deuce court

1st serveNowMonica winsv KarolinaMatchupOptimal
Wide30%67%65%66.0%±5.729%
Body16%57%58%57.5%±7.21% ▼
T55%62%69%62.6%±4.770% ▲

Optimal v Karolina Muchova: +0.3±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.2 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowMonica winsv KarolinaMatchupOptimal
Wide49%66%66%66.5%±4.942% ▼
Body8%63%54%60.5%±9.40% ▼
T43%68%64%67.7%±5.458% ▲

Optimal v Karolina Muchova: +0.5±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T 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.

Karolina Muchova returning

1st serve to the forehand

ReturnNowTourOwnv MonicaValue
FH through the middle41%+4.2+1.1−3.8+1.5±2.2
FH slice through the middle18%−6.7+3.0+2.2−1.5±2.3
FH crosscourt15%+5.3−0.7+2.9+7.5±3.8
FH down the line14%+1.5−2.9−1.8−3.2±4.3
FH slice crosscourt9%−6.6+2.2+1.1−3.4±2.5

Lean FH crosscourt: +7.1±3.4 per 100 returns v the current mix (1182 returns charted)

1st serve to the backhand

ReturnNowTourOwnv MonicaValue
BH through the middle46%+6.0−0.4−2.6+3.0±1.9
BH crosscourt20%+7.7+0.9−0.2+8.4±3.1
BH slice through the middle14%−6.2+0.2+4.1−1.9±2.1
BH down the line12%+2.2−1.2−1.9−0.9±4.2
BH slice crosscourt5%−4.2−0.8+5.9+1.0±2.9

Lean BH crosscourt: +6.0±2.7 per 100 returns v the current mix (1188 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv MonicaValue
FH through the middle43%−3.2−1.4−2.0−6.6±2.9
FH crosscourt28%+0.5−0.4+0.5+0.7±4.4
FH down the line21%−0.6−1.9±0.0−2.5±5.2
FH slice through the middle5%−15.2+0.1+0.7−14.4±1.9
FH slice crosscourt3%−14.9+1.3±0.0−13.6±1.3

Lean FH crosscourt: +5.0±3.5 per 100 returns v the current mix (247 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv MonicaValue
BH through the middle40%−2.6+1.0−2.1−3.7±2.4
BH crosscourt31%+1.5−0.4+2.3+3.5±3.2
BH down the line20%−0.5−0.3+3.0+2.1±5.0
FH inside-in5%+0.7−1.9+0.5−0.6±4.6
FH through the middle3%−2.7+1.7−2.0−3.0±2.5

Lean BH crosscourt: +3.5±2.6 per 100 returns v the current mix (582 returns charted)

Monica Seles returning

1st serve to the forehand

ReturnNowTourOwnv KarolinaValue
FH through the middle45%+4.2−2.2−0.1+1.9±2.1
FH crosscourt42%+5.3+0.8−0.7+5.4±3.3
FH down the line10%+1.5+1.0−1.4+1.1±4.3
FH slice through the middle2%−6.7+0.6−1.7−7.8±2.1
FH slice crosscourt1%−6.6+0.4+2.0−4.2±2.3

Lean FH crosscourt: +2.3±2.2 per 100 returns v the current mix (525 returns charted)

1st serve to the backhand

ReturnNowTourOwnv KarolinaValue
BH through the middle47%+6.0−2.1+0.1+4.0±1.8
BH crosscourt32%+7.7−2.5+0.2+5.5±2.9
BH down the line10%+2.2−0.6+0.3+1.9±3.9
BH slice through the middle4%−6.2+1.6−1.1−5.7±2.4
BH slice crosscourt3%−4.2−2.6−0.9−7.7±2.9

Lean BH crosscourt: +2.1±2.2 per 100 returns v the current mix (646 returns charted, inside the 90% margin)

2nd serve to the forehand

ReturnNowTourOwnv KarolinaValue
FH crosscourt47%+0.5+1.7−1.0+1.2±4.0
FH through the middle27%−3.2−1.0+0.5−3.6±2.6
FH down the line26%−0.6+1.9−3.9−2.5±4.7

Lean FH crosscourt: +2.3±2.5 per 100 returns v the current mix (158 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv KarolinaValue
BH crosscourt48%+1.5+3.0−2.0+2.5±3.3
BH through the middle36%−2.6+1.6−0.7−1.6±2.3
BH down the line14%−0.5+1.9−1.3±0.0±4.4
FH inside-in3%+0.7+3.9−1.0+3.6±3.4

Lean BH crosscourt: +1.8±2.0 per 100 returns v the current mix (219 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.

Karolina Muchova

Favour

ShotEdgeOwnTheirs
BH slice to their forehand · rally+13.3±3.1+1.8+11.5
BH slice to their forehand · return +1+12.6±4.6+0.7+12.0
FH to their backhand · return +1+4.8±3.7+1.7+3.1
BH slice to their backhand · rally+4.0±2.8+2.5+1.5
BH slice to the middle · serve +1+4.0±3.3+1.3+2.7
BH to their forehand · rally+3.8±3.6+0.6+3.3

Avoid

ShotEdgeOwnTheirs
FH to the middle · return +1−4.2±2.8−1.2−3.0
BH to their backhand · serve +1−3.6±4.0−1.4−2.2
FH to their forehand · return−3.6±4.2−1.1−2.5
FH to the middle · return−3.6±2.3+0.8−4.4
FH to their backhand · rally−3.3±2.4−1.6−1.7

Monica Seles

Favour

ShotEdgeOwnTheirs
FH to their backhand · return +1+1.9±3.6+4.0−2.1
BH to their backhand · serve +1+1.3±3.0+0.7+0.5
FH to their backhand · return+1.2±3.5+3.5−2.2
FH to their forehand · return+1.2±4.2+4.1−2.9
BH to their forehand · return+0.8±3.8+3.4−2.5
FH to the middle · return +1+0.6±2.9+0.6±0.0

Avoid

ShotEdgeOwnTheirs
FH to their forehand · serve +1−5.9±3.4−3.5−2.4
BH to the middle · rally−3.8±1.8−2.3−1.6
FH to their backhand · rally−3.7±2.1−0.8−2.9
FH to their forehand · rally−3.6±2.2−1.5−2.1
FH to the middle · return−2.8±2.0−2.3−0.5

Against Monica Seles-like opponents

Karolina Muchova vMatchesServe pts wonReturn pts won
All charted opponents–61.6%42.9%
Players most similar to Monica Seles1 50.0%42.5%

Similar by tactical fingerprint: Leylah Fernandez, Linda Fruhvirtova, Angelique Kerber, Qiang Wang, Simona Halep, Mona Barthel, Vera Zvonareva, Kate Makarova, Dinara Safina, Lindsay Davenport. When two players have rarely met, their records against these lookalikes fill the gap.