RallyIQ

Game plan

Dominika Cibulkova v Robin Montgomery

Every number combines what Dominika Cibulkova does well with what Robin Montgomery allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Dominika Cibulkova wins, best of 3 37%90%: 12%–71% · best of 5: 34%
Serve points won 55.7% / 58.2% Dominika / Robin · tour 56.3%
Strengths only, no similarity priors 37%serve 55.7% / 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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Dominika Cibulkova's record against Robin Montgomery's tactical lookalikes and in their charted head-to-heads. 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

CareerDominikaRobin
Direction choice−0.17 ±0.12
better than 22%
−0.38 ±0.19
better than 2%
Shot selection+0.17 ±0.10
better than 62%
+0.05 ±0.23
better than 50%
Execution−0.60 ±0.39
better than 29%
−1.17 ±1.25
better than 16%

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.

Dominika Cibulkova serving

Deuce court

1st serveNowDominika winsv RobinMatchupOptimal
Wide29%62%69%65.6%±9.036% ▲
Body37%58%61%61.2%±9.822% ▼
T34%61%74%67.1%±10.442% ▲

Optimal v Robin Montgomery: +0.3±1.0 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 serveNowDominika winsv RobinMatchupOptimal
Wide25%62%65%61.1%±10.341% ▲
Body31%55%43%42.7%±11.516% ▼
T44%58%63%56.4%±10.243%

Optimal v Robin Montgomery: +0.7±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +7.7 per 100 first serves in before the returner adjusts.

Robin Montgomery serving

Deuce court

1st serveNowRobin winsv DominikaMatchupOptimal
Wide32%72%67%72.7%±9.548% ▲
Body28%62%60%64.1%±10.513% ▼
T40%69%69%69.8%±8.839%

Optimal v Dominika Cibulkova: +0.3±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.5 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowRobin winsv DominikaMatchupOptimal
Wide39%61%70%65.9%±9.154% ▲
Body21%60%58%61.9%±11.76% ▼
T40%73%70%77.8%±7.740%

Optimal v Dominika Cibulkova: +0.9±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +8.1 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.

Dominika Cibulkova returning

1st serve to the forehand

ReturnNowTourOwnv RobinValue
FH through the middle56%+4.2−0.8+1.2+4.5±2.9
FH crosscourt25%+5.3+1.7−2.1+4.9±4.0
FH down the line17%+1.5−5.3−5.1−8.9±4.6
FH slice through the middle2%−6.7−1.4−0.6−8.7±2.1

Lean FH crosscourt: +2.9±3.5 per 100 returns v the current mix (366 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv RobinValue
BH through the middle44%+6.0−0.9+1.4+6.6±2.7
BH crosscourt21%+7.7+1.6+1.7+11.1±3.6
BH slice through the middle18%−6.2+0.4−1.4−7.3±2.3
BH down the line8%+2.2+0.4−3.4−0.8±4.5
BH slice crosscourt6%−4.2+0.2−0.9−4.9±2.6

Lean BH crosscourt: +7.9±3.2 per 100 returns v the current mix (358 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv RobinValue
FH through the middle53%−3.2+0.7+1.4−1.1±3.0
FH crosscourt26%+0.5+1.1−4.5−2.9±3.9
FH down the line22%−0.6+2.6+0.1+2.2±4.6

Lean FH down the line: +3.0±4.0 per 100 returns v the current mix (139 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv RobinValue
BH through the middle41%−2.6−1.4−0.1−4.0±2.8
BH crosscourt39%+1.5−0.6−0.1+0.8±3.6
FH through the middle7%−2.7−1.0+1.4−2.3±2.4
BH down the line6%−0.5−1.0−2.3−3.8±3.7
FH inside-in4%+0.7+1.7−4.5−2.1±3.3

Lean BH crosscourt: +2.6±2.5 per 100 returns v the current mix (181 returns charted)

Robin Montgomery returning

1st serve to the forehand

ReturnNowTourOwnv DominikaValue
FH through the middle65%+4.2+0.2−1.9+2.5±2.7
FH down the line20%+1.5−1.1+2.9+3.4±4.1
FH crosscourt14%+5.3±0.0+4.4+9.7±3.9

Lean FH down the line: −0.3±3.8 per 100 returns v the current mix (98 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv DominikaValue
BH through the middle45%+6.0+0.1−0.8+5.3±2.6
BH crosscourt24%+7.7−0.2+4.3+11.8±3.6
BH slice through the middle14%−6.2−3.1+0.6−8.6±2.1
BH down the line13%+2.2−1.7+2.1+2.5±4.0
BH slice crosscourt5%−4.2−1.1±0.0−5.3±1.3

Lean BH crosscourt: +7.7±3.0 per 100 returns v the current mix (118 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv DominikaValue
BH through the middle59%−2.6+0.5−2.4−4.5±2.6
BH crosscourt22%+1.5−1.8+3.5+3.1±3.4
BH down the line19%−0.5−3.1+2.9−0.7±4.4

Lean BH through the middle: −2.4±1.5 per 100 returns v the current mix (63 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.

Dominika Cibulkova

Favour

ShotEdgeOwnTheirs
FH to the middle · serve +1+2.2±2.5+0.8+1.4
FH to the middle · rally+0.7±2.2+0.4+0.3
BH to the middle · rally+0.6±2.1−0.7+1.3
FH to their backhand · rally±0.0±3.3±0.0±0.0
FH to their forehand · rally−0.2±3.0+1.1−1.4
BH to their forehand · return−0.4±4.5−1.4+0.9

Avoid

ShotEdgeOwnTheirs
FH to their backhand · serve +1−5.7±3.9−3.8−1.9
FH to their forehand · serve +1−2.5±3.8−1.5−1.0
BH to the middle · return−0.9±2.3−1.2+0.3
BH to their forehand · rally−0.9±4.1+0.2−1.1
FH to the middle · return−0.7±2.6−2.0+1.4

Robin Montgomery

Favour

ShotEdgeOwnTheirs
FH to their backhand · rally+1.3±3.2+1.3±0.0
FH to their forehand · return−0.3±4.0−2.3+2.0
BH to their forehand · rally−0.7±4.1−0.3−0.3
BH to the middle · return−1.0±2.3+0.6−1.5
FH to their forehand · rally−1.8±3.1−2.0+0.2
FH to the middle · rally−2.0±2.2−0.7−1.3

Avoid

ShotEdgeOwnTheirs
FH to their backhand · serve +1−6.2±3.9−5.6−0.6
FH to their backhand · return +1−2.9±4.1−0.6−2.3
FH to their forehand · serve +1−2.7±3.9−3.1+0.5
FH to the middle · return−2.3±2.4−0.7−1.6
BH to the middle · rally−2.3±2.1−1.8−0.5

Against Robin Montgomery-like opponents

Dominika Cibulkova vMatchesServe pts wonReturn pts won
All charted opponents–52.7%41.4%

Similar by tactical fingerprint: Alexandra Eala, Jasmine Paolini, Maya Joint, Shuai Zhang, Lulu Sun, Xiyu Wang, Nao Hibino, Bernarda Pera, Irina Camelia Begu. When two players have rarely met, their records against these lookalikes fill the gap.