RallyIQ

Game plan

Jaqueline Cristian v Dominika Cibulkova

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

Forecast

Jaqueline Cristian wins, best of 3 38%90%: 8%–78% · best of 5: 35%
Serve points won 57.9% / 60.3% Jaqueline / Dominika · tour 58.1%
Strengths only, no similarity priors 42%serve 58.4% / 60.0%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Jaqueline Cristian's record against Dominika Cibulkova's tactical lookalikes and in their charted head-to-heads (lookalikes: −14.9 on serve, −7.9 on return vs expectation (93 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

CareerJaquelineDominika
Direction choice−0.15 ±0.12
better than 25%
−0.17 ±0.12
better than 22%
Shot selection−0.05 ±0.12
better than 41%
+0.17 ±0.10
better than 62%
Execution−0.25 ±0.59
better than 46%
−0.60 ±0.39
better than 29%
Points left on the table2.61 ±0.17
lower than 51%
2.53 ±0.14
lower than 61%

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.

Jaqueline Cristian serving

Deuce court

1st serveNowJaqueline winsv DominikaMatchupOptimal
Wide33%58%67%59.4%±7.648% ▲
Body25%57%60%59.7%±9.010% ▼
T42%69%69%70.1%±7.042%

Optimal v Dominika Cibulkova: +0.4±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +6.2 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowJaqueline winsv DominikaMatchupOptimal
Wide37%63%70%67.4%±7.849% ▲
Body21%54%58%56.0%±10.35% ▼
T42%65%70%69.8%±6.846% ▲

Optimal v Dominika Cibulkova: +1.1±1.0 per 100 first serves (faults included) over the current mix. Serving T every time would read +3.8 per 100 first serves in before the returner adjusts.

Dominika Cibulkova serving

Deuce court

1st serveNowDominika winsv JaquelineMatchupOptimal
Wide29%62%72%68.6%±7.144% ▲
Body37%58%58%58.9%±8.522% ▼
T34%61%70%63.2%±8.134%

Optimal v Jaqueline Cristian: +1.1±1.0 per 100 first serves (faults included) over the current mix. Serving wide every time would read +5.4 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowDominika winsv JaquelineMatchupOptimal
Wide25%62%74%71.1%±7.541% ▲
Body31%55%55%54.6%±9.416% ▼
T44%58%68%61.5%±7.643%

Optimal v Jaqueline Cristian: +0.8±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +9.3 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.

Jaqueline Cristian returning

1st serve to the forehand

ReturnNowTourOwnv DominikaValue
FH through the middle53%+4.2+1.3−1.9+3.6±2.4
FH crosscourt22%+5.3+2.9+2.9+11.2±4.0
FH slice through the middle10%−6.7−1.3−0.7−8.8±2.2
FH down the line9%+1.5−1.4+4.4+4.6±4.5
FH slice crosscourt4%−6.6+0.6−0.2−6.2±2.1

Lean FH crosscourt: +7.6±3.4 per 100 returns v the current mix (313 returns charted)

1st serve to the backhand

ReturnNowTourOwnv DominikaValue
BH through the middle42%+6.0+0.4−0.8+5.6±2.4
BH crosscourt23%+7.7−0.2+2.1+9.6±3.4
BH down the line14%+2.2−2.8+4.3+3.6±4.6
BH slice through the middle11%−6.2−0.6+0.6−6.2±2.3
BH slice crosscourt5%−4.2+0.1+0.5−3.6±2.5

Lean BH crosscourt: +6.0±2.9 per 100 returns v the current mix (285 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv DominikaValue
FH through the middle53%−3.2−0.1−2.7−5.9±3.0
FH crosscourt38%+0.5+1.3−1.1+0.7±4.2
FH down the line9%−0.6+1.9+1.5+2.8±4.3

Lean FH crosscourt: +3.4±3.1 per 100 returns v the current mix (58 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv DominikaValue
BH through the middle44%−2.6+1.4−2.4−3.6±2.5
BH crosscourt25%+1.5+0.2+2.9+4.5±3.5
FH inside-out11%+1.4+0.7+1.5+3.5±4.1
BH down the line8%−0.5−1.9+3.5+1.0±4.8
FH through the middle7%−2.7+1.0−2.7−4.3±2.3

Lean BH crosscourt: +4.9±2.9 per 100 returns v the current mix (167 returns charted)

Dominika Cibulkova returning

1st serve to the forehand

ReturnNowTourOwnv JaquelineValue
FH through the middle56%+4.2−0.8+0.3+3.6±2.5
FH crosscourt25%+5.3+1.7+0.3+7.4±4.3
FH down the line17%+1.5−5.3−2.7−6.4±4.7
FH slice through the middle2%−6.7−1.4+0.3−7.8±2.2

Lean FH crosscourt: +4.8±3.6 per 100 returns v the current mix (366 returns charted)

1st serve to the backhand

ReturnNowTourOwnv JaquelineValue
BH through the middle44%+6.0−0.9−0.1+5.1±2.5
BH crosscourt21%+7.7+1.6+3.3+12.7±3.6
BH slice through the middle18%−6.2+0.4+0.2−5.6±2.4
BH down the line8%+2.2+0.4−1.7+0.9±4.6
BH slice crosscourt6%−4.2+0.2±0.0−4.0±2.0

Lean BH crosscourt: +9.4±3.1 per 100 returns v the current mix (358 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv JaquelineValue
FH through the middle53%−3.2+0.7+1.3−1.2±3.0
FH crosscourt26%+0.5+1.1+3.8+5.4±4.4
FH down the line22%−0.6+2.6−0.5+1.5±5.2

Lean FH crosscourt: +4.3±3.8 per 100 returns v the current mix (139 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv JaquelineValue
BH through the middle41%−2.6−1.4−1.5−5.4±2.7
BH crosscourt39%+1.5−0.6+1.3+2.2±3.6
FH through the middle7%−2.7−1.0+1.3−2.4±2.4
BH down the line6%−0.5−1.0−1.5−3.0±4.6
FH inside-in4%+0.7+1.7+3.8+6.2±4.0

Lean BH crosscourt: +3.7±2.5 per 100 returns v the current mix (181 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 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.

Jaqueline Cristian

Favour

ShotEdgeOwnTheirs
BH to their forehand · return+6.2±5.2−1.3+7.4
FH to their forehand · return+5.7±5.7+1.7+4.0
FH to their forehand · rally+4.2±4.8+2.3+1.9
FH to their backhand · return+3.0±5.1−1.7+4.7
BH to their backhand · return+2.1±4.8−1.7+3.8
FH to their forehand · return +1+1.1±5.2−1.9+2.9

Avoid

ShotEdgeOwnTheirs
FH to the middle · rally−6.6±3.2−2.2−4.4
BH to the middle · return−4.8±3.5−2.1−2.7
BH to their forehand · rally−4.0±4.9−0.2−3.8
BH to the middle · rally−3.7±3.0−0.4−3.3
BH to the middle · serve +1−3.6±3.5−4.5+0.9

Dominika Cibulkova

Favour

ShotEdgeOwnTheirs
FH to the middle · return +1+2.8±2.6−0.2+2.9
BH to their backhand · serve +1+2.2±3.9+2.5−0.2
BH to the middle · return +1+1.9±3.0+1.7+0.2
FH to the middle · serve +1+1.7±3.6+0.5+1.2
BH to their backhand · return+1.5±4.8−3.0+4.4
FH to their forehand · rally+1.4±4.7+3.2−1.8

Avoid

ShotEdgeOwnTheirs
BH to their forehand · serve +1−6.8±5.8−3.4−3.3
BH to their forehand · return−6.5±5.8−1.6−4.9
FH to their backhand · return−6.3±6.1−2.6−3.7
FH to their forehand · serve +1−2.6±4.5−4.7+2.0
FH to their forehand · return +1−2.4±5.1−0.5−2.0

Against Dominika Cibulkova-like opponents

Jaqueline Cristian vMatchesServe pts wonReturn pts won
All charted opponents–54.7%38.4%
Players most similar to Dominika Cibulkova1 39.6%28.9%

Similar by tactical fingerprint: Alexandra Eala, Anna Blinkova, Ashlyn Krueger, Jessica Pegula, Jasmine Paolini, Maria Sakkari, Robin Montgomery, Nao Hibino, R. When two players have rarely met, their records against these lookalikes fill the gap.