RallyIQ

Game plan

Karolina Muchova v Madison Keys

Every number combines what Karolina Muchova does well with what Madison Keys 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 73%90%: 52%–87% · best of 5: 77%
Serve points won 63.8% / 59.2% Karolina / Madison · tour 56.7%
Strengths only, no similarity priors 67%serve 63.2% / 59.7%

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. Both were charted enough in the last three seasons, so those carry the most weight. The result is then nudged by Karolina Muchova's record against Madison Keys's tactical lookalikes and in their charted head-to-heads (lookalikes: +3.5 on serve, +2.3 on return vs expectation (805 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

CareerKarolinaMadison
Direction choice−0.01 ±0.05
better than 52%
+0.06 ±0.06
better than 67%
Shot selection−0.17 ±0.09
better than 30%
+0.34 ±0.10
better than 83%
Execution+0.22 ±0.28
better than 70%
−0.69 ±0.38
better than 28%
Points left on the table2.88 ±0.08
lower than 18%
2.58 ±0.09
lower than 54%

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: Karolina Muchova −0.76, Madison Keys −2.24. 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.

Karolina Muchova serving

Deuce court

1st serveNowKarolina winsv MadisonMatchupOptimal
Wide40%68%70%72.0%±4.140%
Body22%58%57%58.2%±5.37% ▼
T38%74%67%73.3%±3.953% ▲

Optimal v Madison Keys: +1.4±0.7 per 100 first serves (faults included) over the current mix. Serving T every time would read +3.8 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowKarolina winsv MadisonMatchupOptimal
Wide48%68%64%67.2%±4.063% ▲
Body14%57%56%56.5%±6.70% ▼
T39%67%65%68.3%±4.537% ▼

Optimal v Madison Keys: +0.6±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +2.2 per 100 first serves in before the returner adjusts.

Madison Keys serving

Deuce court

1st serveNowMadison winsv KarolinaMatchupOptimal
Wide50%69%65%68.4%±3.748% ▼
Body14%54%58%54.6%±6.50% ▼
T37%78%69%79.0%±3.752% ▲

Optimal v Karolina Muchova: +1.7±0.8 per 100 first serves (faults included) over the current mix. Serving T every time would read +8.5 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowMadison winsv KarolinaMatchupOptimal
Wide41%65%66%65.6%±4.237% ▼
Body11%54%54%51.1%±7.50% ▼
T48%71%64%70.1%±4.163% ▲

Optimal v Karolina Muchova: +1.2±0.7 per 100 first serves (faults included) over the current mix. Serving T every time would read +3.9 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 MadisonValue
FH through the middle41%+4.2+1.1−0.4+4.8±1.8
FH slice through the middle18%−6.7+3.0+0.8−2.9±2.1
FH crosscourt15%+5.3−0.7−1.5+3.1±3.5
FH down the line14%+1.5−2.9±0.0−1.3±3.9
FH slice crosscourt9%−6.6+2.2+0.2−4.2±2.7

Lean FH through the middle: +3.8±1.4 per 100 returns v the current mix (1182 returns charted)

1st serve to the backhand

ReturnNowTourOwnv MadisonValue
BH through the middle46%+6.0−0.4−0.5+5.1±1.7
BH crosscourt20%+7.7+0.9+1.1+9.8±2.6
BH slice through the middle14%−6.2+0.2−2.0−8.1±2.3
BH down the line12%+2.2−1.2−0.8+0.2±4.2
BH slice crosscourt5%−4.2−0.8−0.6−5.6±3.0

Lean BH crosscourt: +7.2±2.3 per 100 returns v the current mix (1188 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv MadisonValue
FH through the middle43%−3.2−1.4+0.8−3.7±2.7
FH crosscourt28%+0.5−0.4−0.3−0.1±4.0
FH down the line21%−0.6−1.9−2.5−5.0±4.9
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: +3.7±3.3 per 100 returns v the current mix (247 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv MadisonValue
BH through the middle40%−2.6+1.0−0.2−1.7±2.0
BH crosscourt31%+1.5−0.4−0.4+0.7±2.7
BH down the line20%−0.5−0.3−2.9−3.7±4.8
FH inside-in5%+0.7−1.9−0.3−1.4±4.2
FH through the middle3%−2.7+1.7+0.8−0.1±2.2

Lean BH crosscourt: +2.0±2.3 per 100 returns v the current mix (582 returns charted, inside the 90% margin)

Madison Keys returning

1st serve to the forehand

ReturnNowTourOwnv KarolinaValue
FH through the middle44%+4.2−6.1−0.1−2.0±1.9
FH crosscourt28%+5.3−2.5−1.4+1.5±3.4
FH down the line11%+1.5−4.7−0.7−3.9±4.0
FH slice through the middle11%−6.7−1.1−1.7−9.5±2.4
FH slice crosscourt3%−6.6−0.4−2.5−9.5±2.8

Lean FH crosscourt: +3.9±2.6 per 100 returns v the current mix (845 returns charted)

1st serve to the backhand

ReturnNowTourOwnv KarolinaValue
BH through the middle52%+6.0−1.6+0.1+4.5±1.5
BH crosscourt20%+7.7+1.1+0.3+9.1±2.5
BH down the line17%+2.2−1.7+0.2+0.7±3.7
BH slice through the middle5%−6.2−1.8−1.1−9.1±2.5
BH slice down the line3%−12.5−2.0−0.9−15.3±3.6

Lean BH crosscourt: +5.8±2.2 per 100 returns v the current mix (1240 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv KarolinaValue
FH through the middle38%−3.2+2.5+0.5−0.1±2.6
FH crosscourt30%+0.5+1.4−3.9−2.0±4.0
FH down the line21%−0.6−4.4−1.0−6.0±4.8
FH slice through the middle6%−15.2+1.4±0.0−13.8±2.0
FH slice crosscourt4%−14.9+0.5+0.1−14.3±1.9

Lean FH through the middle: +3.3±2.2 per 100 returns v the current mix (217 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv KarolinaValue
BH through the middle40%−2.6−0.7−0.7−4.0±2.0
BH crosscourt29%+1.5+0.8−1.3+0.9±2.8
BH down the line21%−0.5+1.7−2.0−0.8±4.7
FH inside-out4%+1.4+2.7−1.0+3.0±3.8
FH through the middle4%−2.7+0.1+0.5−2.0±2.1

Lean FH inside-out: +4.4±3.9 per 100 returns v the current mix (569 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 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
FH slice to their forehand · return+4.6±3.8+3.5+1.2
FH slice to the middle · return+4.3±2.7+3.3+1.0
FH slice to the middle · rally+4.1±3.4+1.5+2.6
FH to their backhand · serve +1+2.2±2.9+3.2−1.0
BH slice to the middle · return +1+1.9±3.0+0.4+1.5
BH slice to their forehand · rally+1.8±4.5+1.8±0.0

Avoid

ShotEdgeOwnTheirs
BH to their forehand · return +1−8.2±5.3−4.0−4.2
FH to their backhand · rally−4.1±2.4−1.6−2.5
FH to the middle · return +1−4.0±2.5−1.2−2.8
FH to their backhand · return−3.9±3.9−1.2−2.7
BH to their backhand · serve +1−3.9±3.0−1.4−2.4

Madison Keys

Favour

ShotEdgeOwnTheirs
FH to their forehand · return +1+2.1±3.2+2.6−0.4
FH to their backhand · serve +1+0.6±2.8+2.0−1.4
BH slice to their backhand · rally−0.3±3.4+0.3−0.6
FH to the middle · return +1−0.5±2.4−0.5±0.0
BH to the middle · serve +1−0.6±2.0−1.8+1.2
BH to their backhand · serve +1−0.8±3.0−1.3+0.5

Avoid

ShotEdgeOwnTheirs
BH to their forehand · return +1−9.5±4.8−6.4−3.1
FH slice to their forehand · rally−8.2±5.2−3.7−4.5
FH to their backhand · return−7.5±3.7−5.3−2.2
FH volley to their forehand · rally−7.2±7.8−5.2−2.0
BH slice to their forehand · rally−7.0±5.1−3.1−3.9

Against Madison Keys-like opponents

Karolina Muchova vMatchesServe pts wonReturn pts won
All charted opponents–61.6%42.9%
Players most similar to Madison Keys5 65.0%41.6%

Similar by tactical fingerprint: Naomi Osaka, Karolina Pliskova, Dayana Yastremska, Anastasia Pavlyuchenkova, Shelby Rogers, Kaia Kanepi, Julia Goerges, Maria Sharapova, Ana Ivanovic, Daniela Hantuchova. When two players have rarely met, their records against these lookalikes fill the gap.