RallyIQ

Game plan

Marie Bouzkova v Emma Navarro

Every number combines what Marie Bouzkova does well with what Emma Navarro allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Marie Bouzkova wins, best of 3 42%90%: 10%–81% · best of 5: 40%
Serve points won 56.5% / 58.0% Marie / Emma · tour 57.7%
Strengths only, no similarity priors 40%serve 56.5% / 58.5%

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 Marie Bouzkova's record against Emma Navarro's tactical lookalikes and in their charted head-to-heads (lookalikes: −0.6 on serve, +4.4 on return vs expectation (381 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

CareerMarieEmma
Direction choice−0.04 ±0.07
better than 48%
−0.07 ±0.08
better than 40%
Shot selection+0.09 ±0.12
better than 54%
−0.14 ±0.13
better than 33%
Execution+0.73 ±0.39
better than 86%
+0.65 ±0.53
better than 84%
Points left on the table2.65 ±0.08
lower than 42%
2.56 ±0.11
lower than 58%

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: Marie Bouzkova +1.49, Emma Navarro +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.

Marie Bouzkova serving

Deuce court

1st serveNowMarie winsv EmmaMatchupOptimal
Wide53%62%60%56.3%±5.945% ▼
Body18%50%58%51.2%±7.811% ▼
T29%65%69%65.9%±7.044% ▲

Optimal v Emma Navarro: +0.6±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +7.8 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowMarie winsv EmmaMatchupOptimal
Wide36%61%62%57.1%±6.721% ▼
Body21%53%64%61.1%±8.321%
T42%62%70%68.4%±6.158% ▲

Optimal v Emma Navarro: +0.4±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.

Emma Navarro serving

Deuce court

1st serveNowEmma winsv MarieMatchupOptimal
Wide46%61%69%64.0%±5.730% ▼
Body25%60%62%64.0%±7.227% ▲
T29%65%70%67.8%±6.943% ▲

Optimal v Marie Bouzkova: +0.2±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +2.7 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowEmma winsv MarieMatchupOptimal
Wide41%64%70%68.4%±6.552% ▲
Body21%58%60%62.2%±8.16% ▼
T38%60%68%63.9%±6.142% ▲

Optimal v Marie Bouzkova: +0.7±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.0 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.

Marie Bouzkova returning

1st serve to the forehand

ReturnNowTourOwnv EmmaValue
FH through the middle46%+4.2+1.8+0.9+6.9±2.2
FH crosscourt23%+5.3±0.0+3.8+9.1±3.8
FH down the line16%+1.5+2.7+1.3+5.6±4.3
FH slice through the middle10%−6.7+0.7−0.3−6.3±2.5
FH slice crosscourt2%−6.6+0.8−0.3−6.1±2.4

Lean FH crosscourt: +3.9±3.2 per 100 returns v the current mix (715 returns charted)

1st serve to the backhand

ReturnNowTourOwnv EmmaValue
BH through the middle54%+6.0+2.7±0.0+8.7±2.2
BH crosscourt27%+7.7+1.5+0.7+9.9±3.4
BH down the line11%+2.2+0.2+2.2+4.6±4.6
BH slice through the middle5%−6.2−1.0+1.5−5.7±2.4
BH slice crosscourt3%−4.2−0.2−0.9−5.3±2.5

Lean BH crosscourt: +2.6±2.8 per 100 returns v the current mix (437 returns charted, inside the 90% margin)

2nd serve to the forehand

ReturnNowTourOwnv EmmaValue
FH through the middle47%−3.2+2.2+1.2+0.3±2.9
FH crosscourt34%+0.5−2.4+3.4+1.6±4.4
FH down the line19%−0.6+0.2+1.8+1.4±5.1

Lean FH crosscourt: +0.7±3.4 per 100 returns v the current mix (153 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv EmmaValue
BH through the middle41%−2.6+2.6−1.3−1.3±2.5
BH crosscourt36%+1.5+0.7+2.1+4.2±3.4
BH down the line23%−0.5+2.6+5.3+7.5±5.2

Lean BH down the line: +4.7±4.3 per 100 returns v the current mix (308 returns charted)

Emma Navarro returning

1st serve to the forehand

ReturnNowTourOwnv MarieValue
FH through the middle43%+4.2+1.2+1.9+7.3±2.3
FH crosscourt29%+5.3+2.7−0.9+7.1±3.9
FH down the line18%+1.5+0.5−0.3+1.7±4.3
FH slice through the middle7%−6.7−0.9+3.0−4.6±2.5
FH slice down the line2%−10.5−0.6−1.5−12.6±2.8

Lean FH through the middle: +2.4±1.9 per 100 returns v the current mix (421 returns charted)

1st serve to the backhand

ReturnNowTourOwnv MarieValue
BH through the middle47%+6.0+2.5+1.9+10.5±2.2
BH crosscourt28%+7.7+0.4+0.9+9.1±3.3
BH down the line10%+2.2+1.5+2.8+6.5±4.5
BH slice through the middle9%−6.2+3.9+0.6−1.7±2.5
BH slice crosscourt4%−4.2−0.5−1.7−6.4±2.7

Lean BH through the middle: +3.0±1.6 per 100 returns v the current mix (370 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv MarieValue
FH through the middle49%−3.2+2.9+1.7+1.4±2.9
FH crosscourt28%+0.5+1.3−1.2+0.7±4.2
FH down the line24%−0.6−1.0+0.8−0.7±5.1

Lean FH through the middle: +0.7±2.2 per 100 returns v the current mix (119 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv MarieValue
BH crosscourt47%+1.5−1.1+0.9+1.3±3.4
BH through the middle40%−2.6+0.5+0.7−1.4±2.5
BH down the line13%−0.5+3.5+1.6+4.5±4.9

Lean BH down the line: +3.9±4.7 per 100 returns v the current mix (174 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 grass. Each player's grass record is shrunk toward their all-surface one, so a thin sample on it moves the numbers only a little.

Marie Bouzkova

Favour

ShotEdgeOwnTheirs
BH to their backhand · return+6.1±4.7+2.7+3.4
BH to the middle · return +1+5.5±3.5+3.5+2.0
FH to their forehand · return+4.5±5.5+1.5+3.0
BH to their backhand · serve +1+4.0±4.9+3.3+0.8
BH to their backhand · rally+4.0±4.2+1.6+2.4
BH to their forehand · return +1+3.9±6.4−0.3+4.2

Avoid

ShotEdgeOwnTheirs
FH to their backhand · return +1−6.9±5.1−1.2−5.7
FH to their forehand · serve +1−3.1±5.2−0.6−2.5
FH to their backhand · rally−2.3±4.8−2.6+0.3
FH to the middle · rally−1.6±3.2−1.1−0.5
BH to their backhand · return +1−0.9±4.8+0.4−1.4

Emma Navarro

Favour

ShotEdgeOwnTheirs
BH to their forehand · serve +1+7.1±6.6+3.0+4.1
BH to the middle · return+7.1±3.2+2.2+4.9
FH to their backhand · return +1+5.0±6.0−0.3+5.3
FH to their backhand · rally+4.7±4.7+0.5+4.2
BH to their forehand · return+3.6±6.0−0.9+4.6
BH to their backhand · return +1+3.5±4.8+2.5+1.1

Avoid

ShotEdgeOwnTheirs
FH to their forehand · return−5.2±5.5−0.1−5.1
BH slice to their backhand · rally−2.7±3.5−2.0−0.7
FH to their backhand · return−2.4±5.0−2.7+0.3
BH to their backhand · serve +1−2.0±4.8−3.2+1.2
FH to the middle · return +1−1.7±3.5−0.6−1.0

Against Emma Navarro-like opponents

Marie Bouzkova vMatchesServe pts wonReturn pts won
All charted opponents–55.1%39.8%
Players most similar to Emma Navarro3 55.2%46.6%

Similar by tactical fingerprint: Coco Gauff, Iva Jovic, Anastasia Potapova, Anna Blinkova, Kimberly Birrell, Emma Raducanu, Yafan Wang, Nao Hibino, Lin Zhu, R. When two players have rarely met, their records against these lookalikes fill the gap.