RallyIQ

Game plan

Shelby Rogers v Marie Bouzkova

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

Forecast

Shelby Rogers wins, best of 3 64%90%: 43%–81% · best of 5: 67%
Serve points won 62.4% / 59.6% Shelby / Marie · tour 56.4%
Strengths only, no similarity priors 71%serve 62.5% / 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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Shelby Rogers's record against Marie Bouzkova's tactical lookalikes and in their charted head-to-heads (lookalikes: −0.6 on serve, −14.1 on return vs expectation (324 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

CareerShelbyMarie
Direction choice−0.15 ±0.09
better than 26%
−0.04 ±0.07
better than 48%
Shot selection−0.18 ±0.13
better than 29%
+0.09 ±0.12
better than 54%
Execution−0.20 ±0.44
better than 49%
+0.73 ±0.39
better than 86%
Points left on the table2.78 ±0.16
lower than 25%
2.65 ±0.08
lower than 42%

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: Shelby Rogers +1.31, Marie Bouzkova +0.69. 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.

Shelby Rogers serving

Deuce court

1st serveNowShelby winsv MarieMatchupOptimal
Wide50%72%69%74.3%±5.665% ▲
Body18%59%62%63.4%±8.98% ▼
T32%65%70%67.2%±7.627% ▼

Optimal v Marie Bouzkova: +0.4±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +4.2 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowShelby winsv MarieMatchupOptimal
Wide44%66%70%71.1%±6.742% ▼
Body13%62%60%66.1%±9.80% ▼
T43%65%68%68.6%±6.658% ▲

Optimal v Marie Bouzkova: +0.7±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +1.8 per 100 first serves in before the returner adjusts.

Marie Bouzkova serving

Deuce court

1st serveNowMarie winsv ShelbyMatchupOptimal
Wide53%62%73%69.9%±6.268% ▲
Body18%50%57%50.1%±8.93% ▼
T29%65%69%66.0%±7.629%

Optimal v Shelby Rogers: +1.2±1.0 per 100 first serves (faults included) over the current mix. Serving wide every time would read +4.7 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowMarie winsv ShelbyMatchupOptimal
Wide36%61%70%66.2%±7.436%
Body21%53%55%51.4%±9.16% ▼
T42%62%69%67.0%±7.158% ▲

Optimal v Shelby Rogers: +1.3±1.0 per 100 first serves (faults included) over the current mix. Serving T every time would read +3.6 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.

Shelby Rogers returning

1st serve to the forehand

ReturnNowTourOwnv MarieValue
FH through the middle42%+4.2±0.0+1.9+6.0±2.5
FH crosscourt21%+5.3−0.1−0.9+4.3±4.1
FH down the line15%+1.5−0.2−0.3+1.1±4.4
FH slice through the middle12%−6.7±0.0+3.0−3.7±2.5
FH slice crosscourt6%−6.6−1.0+2.0−5.6±2.6

Lean FH through the middle: +3.5±1.8 per 100 returns v the current mix (264 returns charted)

1st serve to the backhand

ReturnNowTourOwnv MarieValue
BH through the middle46%+6.0−2.3+1.9+5.7±2.3
BH crosscourt19%+7.7+1.8+0.9+10.4±3.4
BH down the line13%+2.2−0.3+2.8+4.7±4.5
BH slice through the middle10%−6.2−0.7+0.6−6.4±2.5
BH slice crosscourt7%−4.2−2.9−1.7−8.8±2.7

Lean BH crosscourt: +7.1±3.0 per 100 returns v the current mix (237 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv MarieValue
FH through the middle71%−3.2+1.0+1.7−0.6±2.9
FH crosscourt29%+0.5−1.4−1.2−2.1±3.8

Lean FH through the middle: +0.4±1.4 per 100 returns v the current mix (41 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv MarieValue
BH through the middle52%−2.6−0.5+0.7−2.4±2.5
BH crosscourt26%+1.5−1.0+0.9+1.4±3.5
BH down the line19%−0.5+0.8+1.6+1.8±5.0
BH slice down the line3%−10.6−1.0±0.0−11.6±1.8

Lean BH down the line: +2.8±4.4 per 100 returns v the current mix (153 returns charted, inside the 90% margin)

Marie Bouzkova returning

1st serve to the forehand

ReturnNowTourOwnv ShelbyValue
FH through the middle46%+4.2+1.8+0.9+6.8±2.4
FH crosscourt23%+5.3±0.0+2.6+8.0±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+0.9−5.1±2.6
FH slice crosscourt2%−6.6+0.8−0.9−6.8±2.2

Lean FH crosscourt: +3.6±3.4 per 100 returns v the current mix (715 returns charted)

1st serve to the backhand

ReturnNowTourOwnv ShelbyValue
BH through the middle54%+6.0+2.7+1.3+10.0±2.4
BH crosscourt27%+7.7+1.5+0.9+10.1±3.5
BH down the line11%+2.2+0.2−2.6−0.3±4.7
BH slice through the middle5%−6.2−1.0+1.5−5.8±2.4
BH slice crosscourt3%−4.2−0.2−0.7−5.1±2.4

Lean BH crosscourt: +2.6±2.9 per 100 returns v the current mix (437 returns charted, inside the 90% margin)

2nd serve to the forehand

ReturnNowTourOwnv ShelbyValue
FH through the middle47%−3.2+2.2−0.5−1.4±3.0
FH crosscourt34%+0.5−2.4+0.3−1.5±4.5
FH down the line19%−0.6+0.2+0.7+0.3±5.2

Lean FH down the line: +1.4±4.7 per 100 returns v the current mix (153 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv ShelbyValue
BH through the middle41%−2.6+2.6−1.1−1.1±2.6
BH crosscourt36%+1.5+0.7−2.4−0.2±3.5
BH down the line23%−0.5+2.6+1.8+4.0±5.2

Lean BH down the line: +3.6±4.3 per 100 returns v the current mix (308 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.

Shelby Rogers

Favour

ShotEdgeOwnTheirs
FH to their forehand · serve +1+7.4±4.2+5.8+1.6
FH to their forehand · return +1+6.1±4.6+3.2+2.9
FH to their backhand · serve +1+4.0±4.3+0.1+3.9
FH to the middle · return +1+3.6±3.2+1.2+2.4
FH to the middle · return+3.4±2.6+0.8+2.6
FH to the middle · serve +1+3.3±3.1+2.1+1.2

Avoid

ShotEdgeOwnTheirs
BH to their backhand · serve +1−2.2±4.4−4.5+2.3
FH to their forehand · return−1.0±5.1±0.0−1.0
BH to their backhand · rally−0.9±3.2−3.1+2.1
FH to their backhand · return−0.8±5.4−1.5+0.6
BH to their backhand · return−0.7±4.1−2.3+1.6

Marie Bouzkova

Favour

ShotEdgeOwnTheirs
FH to their backhand · serve +1+5.9±4.6±0.0+5.9
BH to their backhand · serve +1+4.4±4.4+2.3+2.1
BH to their forehand · serve +1+3.6±6.2+2.7+1.0
FH to the middle · return+3.2±2.6+2.5+0.7
FH to their forehand · return+2.6±5.2−0.8+3.4
FH to their backhand · return+2.2±5.3+3.5−1.3

Avoid

ShotEdgeOwnTheirs
FH to their forehand · return +1−4.0±4.4−1.6−2.4
FH to their backhand · return +1−3.5±5.8−2.4−1.1
FH to the middle · serve +1−3.4±2.9−0.3−3.1
BH to their backhand · return−2.1±3.9+0.7−2.7
FH to their forehand · serve +1−1.1±4.4−0.5−0.6

Against Marie Bouzkova-like opponents

Shelby Rogers vMatchesServe pts wonReturn pts won
All charted opponents–60.2%40.1%
Players most similar to Marie Bouzkova3 57.1%28.2%

Similar by tactical fingerprint: Coco Gauff, Emma Navarro, Emma Raducanu, Sloane Stephens, Lin Zhu, Caroline Wozniacki, Alize Cornet, Agnieszka Radwanska, Marion Bartoli, Elena Dementieva. When two players have rarely met, their records against these lookalikes fill the gap.