RallyIQ

Game plan

Marie Bouzkova v Jennifer Brady

Every number combines what Marie Bouzkova does well with what Jennifer Brady 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 31%90%: 15%–51% · best of 5: 27%
Serve points won 58.3% / 62.1% Marie / Jennifer · tour 56.4%
Strengths only, no similarity priors 28%serve 57.3% / 61.8%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Jennifer Brady's tactical lookalikes and in their charted head-to-heads (lookalikes: +5.3 on serve, −1.5 on return vs expectation (692 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

CareerMarieJennifer
Direction choice−0.04 ±0.07
better than 48%
−0.09 ±0.08
better than 38%
Shot selection+0.09 ±0.12
better than 54%
+0.17 ±0.13
better than 62%
Execution+0.73 ±0.39
better than 86%
+0.48 ±0.65
better than 78%
Points left on the table2.65 ±0.08
lower than 42%
2.74 ±0.15
lower than 28%

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 JenniferMatchupOptimal
Wide53%62%68%64.5%±6.753%
Body18%50%57%49.8%±9.23% ▼
T29%65%68%64.9%±7.744% ▲

Optimal v Jennifer Brady: +0.9±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +2.9 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowMarie winsv JenniferMatchupOptimal
Wide36%61%67%63.3%±7.136%
Body21%53%60%57.1%±10.16% ▼
T42%62%66%64.0%±7.358% ▲

Optimal v Jennifer Brady: +0.8±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.

Jennifer Brady serving

Deuce court

1st serveNowJennifer winsv MarieMatchupOptimal
Wide48%70%69%72.1%±5.960% ▲
Body12%54%62%58.4%±10.40% ▼
T40%78%70%80.2%±6.040%

Optimal v Marie Bouzkova: +0.5±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +6.5 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowJennifer winsv MarieMatchupOptimal
Wide39%67%70%71.9%±7.133% ▼
Body9%64%60%68.4%±10.50% ▼
T52%70%68%73.3%±6.067% ▲

Optimal v Marie Bouzkova: +0.6±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +1.0 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 JenniferValue
FH through the middle46%+4.2+1.8−3.4+2.6±2.5
FH crosscourt23%+5.3±0.0−0.7+4.7±4.1
FH down the line16%+1.5+2.7−2.7+1.5±4.5
FH slice through the middle10%−6.7+0.7−1.7−7.7±2.5
FH slice crosscourt2%−6.6+0.8+0.2−5.6±2.1

Lean FH crosscourt: +3.3±3.4 per 100 returns v the current mix (715 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv JenniferValue
BH through the middle54%+6.0+2.7−2.4+6.3±2.5
BH crosscourt27%+7.7+1.5+1.0+10.2±3.5
BH down the line11%+2.2+0.2−1.1+1.2±4.7
BH slice through the middle5%−6.2−1.0−0.9−8.1±2.3
BH slice crosscourt3%−4.2−0.2−2.3−6.6±2.4

Lean BH crosscourt: +4.7±2.9 per 100 returns v the current mix (437 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv JenniferValue
FH through the middle47%−3.2+2.2−0.8−1.7±3.1
FH crosscourt34%+0.5−2.4+0.7−1.1±4.5
FH down the line19%−0.6+0.2−1.6−2.0±5.2

Lean FH crosscourt: +0.5±3.4 per 100 returns v the current mix (153 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv JenniferValue
BH through the middle41%−2.6+2.6+0.4+0.5±2.5
BH crosscourt36%+1.5+0.7+0.5+2.7±3.3
BH down the line23%−0.5+2.6−2.4−0.3±5.2

Lean BH crosscourt: +1.6±2.6 per 100 returns v the current mix (308 returns charted, inside the 90% margin)

Jennifer Brady returning

1st serve to the forehand

ReturnNowTourOwnv MarieValue
FH through the middle56%+4.2−0.9+1.9+5.2±2.3
FH crosscourt18%+5.3−3.0−0.9+1.4±4.1
FH down the line15%+1.5−1.9−0.3−0.7±4.4
FH slice through the middle8%−6.7−1.6+3.0−5.3±2.4
FH slice crosscourt2%−6.6+1.0+2.0−3.6±2.3

Lean FH through the middle: +2.8±1.4 per 100 returns v the current mix (266 returns charted)

1st serve to the backhand

ReturnNowTourOwnv MarieValue
BH through the middle45%+6.0−0.7+1.9+7.3±2.3
BH crosscourt22%+7.7±0.0+0.9+8.6±3.4
BH down the line21%+2.2−1.5+2.8+3.5±4.5
BH slice through the middle9%−6.2+0.4+0.6−5.3±2.5
BH slice down the line3%−12.5−1.2−1.9−15.6±2.5

Lean BH crosscourt: +3.7±3.0 per 100 returns v the current mix (292 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv MarieValue
FH through the middle51%−3.2+1.0+1.7−0.5±2.9
FH crosscourt31%+0.5−3.4−1.2−4.1±4.0
FH down the line18%−0.6−0.2+0.8±0.0±4.7

Lean FH through the middle: +1.0±2.1 per 100 returns v the current mix (67 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv MarieValue
BH through the middle34%−2.6−0.8+0.7−2.7±2.5
BH crosscourt30%+1.5−3.0+0.9−0.6±3.5
FH through the middle13%−2.7−1.4+1.7−2.4±2.4
BH down the line11%−0.5−1.7+1.6−0.6±4.9
FH inside-in7%+0.7−2.4−1.2−2.8±4.1

Lean BH crosscourt: +0.9±2.7 per 100 returns v the current mix (206 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.

Marie Bouzkova

Favour

ShotEdgeOwnTheirs
BH to their backhand · serve +1+4.4±3.9+2.3+2.1
BH to the middle · serve +1+4.1±3.0+3.4+0.7
BH to the middle · rally+4.1±2.0+3.0+1.1
BH to their backhand · return +1+4.0±4.0+0.7+3.4
FH to the middle · return +1+3.5±3.4+0.9+2.6
BH to their forehand · serve +1+3.0±6.2+2.7+0.4

Avoid

ShotEdgeOwnTheirs
FH to their forehand · return +1−5.3±4.6−1.6−3.7
FH to their backhand · serve +1−3.7±4.4±0.0−3.6
FH to their backhand · return +1−2.7±5.5−2.4−0.3
FH to the middle · return−1.2±2.7+2.5−3.7
BH to their forehand · return−1.1±5.5+0.8−1.9

Jennifer Brady

Favour

ShotEdgeOwnTheirs
FH to their backhand · serve +1+6.4±4.4+2.5+3.9
FH to their forehand · serve +1+5.4±4.1+3.8+1.6
BH to their forehand · rally+5.3±4.5+2.0+3.3
FH to their backhand · rally+4.9±3.1+3.1+1.8
BH to their backhand · rally+4.5±2.7+2.4+2.1
BH to the middle · return +1+4.2±3.1+2.2+2.0

Avoid

ShotEdgeOwnTheirs
FH to their forehand · return−5.9±5.0−4.9−1.0
FH to their backhand · return−3.9±5.2−4.5+0.6
FH to their backhand · return +1−1.6±5.3−2.4+0.8
BH to the middle · serve +1−1.4±2.9−2.1+0.7
BH to their forehand · return−1.1±5.4−4.3+3.2

Against Jennifer Brady-like opponents

Marie Bouzkova vMatchesServe pts wonReturn pts won
All charted opponents–55.1%39.8%
Players most similar to Jennifer Brady4 59.4%39.5%

Similar by tactical fingerprint: Anastasia Potapova, Elina Svitolina, Jaqueline Cristian, Maria Sakkari, Anna Bondar, Paula Badosa, Jessica Bouzas Maneiro, Heather Watson, Louisa Chirico, Ana Ivanovic. When two players have rarely met, their records against these lookalikes fill the gap.