RallyIQ

Game plan

Marie Bouzkova v Antonia Ruzic

Every number combines what Marie Bouzkova does well with what Antonia Ruzic 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 75%90%: 42%–94% · best of 5: 80%
Serve points won 57.8% / 52.6% Marie / Antonia · tour 56.3%
Strengths only, no similarity priors 80%serve 58.6% / 52.3%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Marie Bouzkova's record against Antonia Ruzic's tactical lookalikes and in their charted head-to-heads (lookalikes: −7.7 on serve, −3.0 on return vs expectation (362 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

CareerMarieAntonia
Direction choice−0.04 ±0.07
better than 48%
+0.14 ±0.12
better than 78%
Shot selection+0.09 ±0.12
better than 54%
−0.07 ±0.20
better than 39%
Execution+0.73 ±0.39
better than 86%
−0.48 ±0.76
better than 34%

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.

Marie Bouzkova serving

Deuce court

1st serveNowMarie winsv AntoniaMatchupOptimal
Wide53%62%66%62.8%±9.153%
Body18%50%64%57.2%±9.93% ▼
T29%65%66%63.3%±10.544% ▲

Optimal v Antonia Ruzic: +0.6±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +1.4 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowMarie winsv AntoniaMatchupOptimal
Wide36%61%65%60.7%±10.130% ▼
Body21%53%61%58.2%±10.712% ▼
T42%62%58%56.0%±10.058% ▲

Optimal v Antonia Ruzic: +0.1±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +2.5 per 100 first serves in before the returner adjusts.

Antonia Ruzic serving

Deuce court

1st serveNowAntonia winsv MarieMatchupOptimal
Wide52%60%69%62.9%±7.867% ▲
Body19%52%62%56.2%±11.14% ▼
T29%66%70%68.5%±10.429%

Optimal v Marie Bouzkova: +0.3±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +5.3 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowAntonia winsv MarieMatchupOptimal
Wide31%50%70%55.6%±10.631%
Body20%50%60%55.0%±11.25% ▼
T49%55%68%58.8%±8.864% ▲

Optimal v Marie Bouzkova: +0.6±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +1.7 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 AntoniaValue
FH through the middle46%+4.2+1.8+2.1+8.0±2.7
FH crosscourt23%+5.3±0.0+6.4+11.8±4.1
FH down the line16%+1.5+2.7+0.2+4.4±4.5
FH slice through the middle10%−6.7+0.7+0.8−5.2±2.2
FH slice crosscourt2%−6.6+0.8+0.3−5.5±2.3

Lean FH crosscourt: +5.5±3.4 per 100 returns v the current mix (715 returns charted)

1st serve to the backhand

ReturnNowTourOwnv AntoniaValue
BH through the middle54%+6.0+2.7+1.5+10.2±2.6
BH crosscourt27%+7.7+1.5+2.1+11.3±3.5
BH down the line11%+2.2+0.2+1.1+3.4±4.6
BH slice through the middle5%−6.2−1.0+1.6−5.6±2.1
BH slice crosscourt3%−4.2−0.2±0.0−4.4±1.7

Lean BH crosscourt: +3.0±3.0 per 100 returns v the current mix (437 returns charted, inside the 90% margin)

2nd serve to the forehand

ReturnNowTourOwnv AntoniaValue
FH through the middle47%−3.2+2.2−1.0−2.0±2.9
FH crosscourt34%+0.5−2.4−0.6−2.5±4.0
FH down the line19%−0.6+0.2−1.4−1.8±4.7

Lean FH down the line: +0.3±4.3 per 100 returns v the current mix (153 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv AntoniaValue
BH through the middle41%−2.6+2.6+1.9+1.9±2.7
BH crosscourt36%+1.5+0.7+2.4+4.5±3.5
BH down the line23%−0.5+2.6−1.7+0.4±4.9

Lean BH crosscourt: +2.0±2.7 per 100 returns v the current mix (308 returns charted, inside the 90% margin)

Antonia Ruzic returning

1st serve to the forehand

ReturnNowTourOwnv MarieValue
FH through the middle53%+4.2+1.3+1.9+7.3±2.6
FH crosscourt40%+5.3+0.5−0.9+4.9±4.1
FH down the line8%+1.5+0.9−0.3+2.1±3.6

Lean FH through the middle: +1.4±2.0 per 100 returns v the current mix (91 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv MarieValue
BH through the middle59%+6.0+0.8+1.9+8.8±2.5
BH crosscourt26%+7.7+2.4+0.9+11.0±3.2
BH down the line8%+2.2−2.0+2.8+3.0±3.7
BH slice crosscourt7%−4.2−0.7−1.7−6.6±2.3

Lean BH crosscourt: +3.1±2.8 per 100 returns v the current mix (76 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.

Marie Bouzkova

Favour

ShotEdgeOwnTheirs
BH to their backhand · return+4.2±3.1+1.2+3.0
FH to the middle · return+4.1±2.5+2.1+2.0
FH to their forehand · rally+3.5±2.8+0.8+2.8
BH to the middle · return+3.4±2.2+1.6+1.7
FH to the middle · rally+3.2±2.1+0.2+2.9
BH to their backhand · serve +1+2.8±3.3+2.4+0.3

Avoid

ShotEdgeOwnTheirs
BH to their forehand · rally−1.6±4.0+1.1−2.7
FH to their backhand · rally−0.3±3.2−1.3+1.0
FH to the middle · serve +1+1.1±2.4±0.0+1.1
BH to the middle · rally+1.7±2.0+2.5−0.8
FH to their backhand · return+2.4±4.1+2.7−0.3

Antonia Ruzic

Favour

ShotEdgeOwnTheirs
BH to their backhand · serve +1+4.2±3.2+2.1+2.2
FH to the middle · return+3.4±2.4+0.9+2.6
BH to the middle · rally+2.8±2.0+0.4+2.5
BH to their backhand · rally+2.6±2.5+0.2+2.4
BH to the middle · return+2.2±2.2+0.1+2.1
FH to their forehand · return +1+1.9±3.6−0.2+2.1

Avoid

ShotEdgeOwnTheirs
FH to their forehand · return−0.8±3.9+0.6−1.4
FH to their forehand · serve +1−0.5±3.6−1.9+1.4
FH to their backhand · rally−0.3±3.3−2.5+2.2
FH to the middle · rally−0.2±2.2−1.4+1.2
BH to their forehand · rally+0.2±3.9−3.2+3.4

Against Antonia Ruzic-like opponents

Marie Bouzkova vMatchesServe pts wonReturn pts won
All charted opponents–55.1%39.8%
Players most similar to Antonia Ruzic3 47.8%39.7%

Similar by tactical fingerprint: Anna Kalinskaya, Camila Osorio, Emma Raducanu, Sofia Kenin, Lin Zhu, Anastasija Sevastova, Su Wei Hsieh, R, Marion Bartoli. When two players have rarely met, their records against these lookalikes fill the gap.