RallyIQ

Game plan

Caroline Wozniacki v Magdalena Rybarikova

Every number combines what Caroline Wozniacki does well with what Magdalena Rybarikova allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Caroline Wozniacki wins, best of 3 100%90%: 98%–100% · best of 5: 100%
Serve points won 63.6% / 43.2% Caroline / Magdalena · tour 56.4%
Strengths only, no similarity priors 99%serve 61.8% / 44.2%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Caroline Wozniacki's record against Magdalena Rybarikova's tactical lookalikes and in their charted head-to-heads (lookalikes: +7.5 on serve, +3.5 on return vs expectation (676 points); head-to-head: +7.5 on serve, +6.0 on return vs expectation (200 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

CareerCarolineMagdalena
Direction choice+0.03 ±0.05
better than 59%
−0.24 ±0.20
better than 12%
Shot selection+0.06 ±0.06
better than 52%
−0.43 ±0.35
better than 14%
Execution+2.22 ±0.16
better than 100%
+0.07 ±0.86
better than 64%

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.

Caroline Wozniacki serving

Deuce court

1st serveNowCaroline winsv MagdalenaMatchupOptimal
Wide42%67%74%75.4%±7.757% ▲
Body25%62%66%70.4%±9.315% ▼
T33%71%63%65.7%±9.228% ▼

Optimal v Magdalena Rybarikova: +0.5±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +4.5 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowCaroline winsv MagdalenaMatchupOptimal
Wide35%68%63%65.2%±9.035%
Body24%59%53%55.4%±10.19% ▼
T41%63%70%69.0%±8.956% ▲

Optimal v Magdalena Rybarikova: +0.8±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +4.6 per 100 first serves in before the returner adjusts.

Magdalena Rybarikova serving

Deuce court

1st serveNowMagdalena winsv CarolineMatchupOptimal
Wide53%58%60%51.6%±8.553%
Body20%57%50%49.8%±11.25% ▼
T27%67%63%61.3%±11.142% ▲

Optimal v Caroline Wozniacki: +0.5±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +7.4 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowMagdalena winsv CarolineMatchupOptimal
Wide38%67%60%61.4%±10.453% ▲
Body15%58%47%48.9%±12.20% ▼
T47%54%59%47.5%±9.047%

Optimal v Caroline Wozniacki: +1.0±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +8.5 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.

Caroline Wozniacki returning

1st serve to the forehand

ReturnNowTourOwnv MagdalenaValue
FH through the middle52%+4.2+3.4+2.3+9.8±2.3
FH crosscourt21%+5.3+3.9+0.2+9.5±3.1
FH down the line16%+1.5+6.2+2.6+10.3±3.3
FH slice through the middle7%−6.7−1.5+0.1−8.1±2.0
FH slice crosscourt2%−6.6−1.7±0.0−8.3±2.0

Lean FH down the line: +2.5±3.1 per 100 returns v the current mix (2852 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv MagdalenaValue
BH through the middle45%+6.0+2.8−2.1+6.8±2.3
BH crosscourt36%+7.7+4.0+0.6+12.2±2.6
BH slice through the middle9%−6.2−1.9−0.8−8.9±2.1
BH down the line5%+2.2+5.0+2.0+9.1±4.2
BH slice down the line3%−12.5−2.1±0.0−14.6±2.6

Lean BH crosscourt: +5.6±2.0 per 100 returns v the current mix (1809 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv MagdalenaValue
FH through the middle43%−3.2+3.7+0.9+1.4±2.0
FH down the line29%−0.6+2.5±0.0+2.0±2.7
FH crosscourt26%+0.5+3.0±0.0+3.5±2.3
BH inside-out1%+2.2+0.3+1.6+4.1±3.6
BH through the middle1%−1.0−0.3+0.8−0.4±2.0

Lean FH crosscourt: +1.6±2.1 per 100 returns v the current mix (983 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv MagdalenaValue
BH crosscourt54%+1.5+3.5+3.5+8.5±3.0
BH through the middle35%−2.6+4.1+0.8+2.3±2.4
BH down the line12%−0.5+2.0+1.6+3.1±4.9

Lean BH crosscourt: +2.8±1.7 per 100 returns v the current mix (834 returns charted)

Magdalena Rybarikova returning

1st serve to the forehand

ReturnNowTourOwnv CarolineValue
FH down the line30%+1.5+2.7+3.6+7.8±3.7
FH through the middle30%+4.2−2.0+0.9+3.0±2.3
FH slice through the middle25%−6.7−0.5+0.3−6.9±2.2
FH slice crosscourt8%−6.6+0.5−1.1−7.2±2.4
FH crosscourt7%+5.3+0.2+1.4+6.9±2.4

Lean FH down the line: +6.3±2.7 per 100 returns v the current mix (89 returns charted)

1st serve to the backhand

ReturnNowTourOwnv CarolineValue
BH through the middle63%+6.0+0.4±0.0+6.5±2.2
BH crosscourt21%+7.7+2.8+1.2+11.7±2.6
BH slice through the middle17%−6.2+0.4−1.3−7.2±2.0

Lean BH crosscourt: +6.4±2.5 per 100 returns v the current mix (72 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 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.

Caroline Wozniacki

Favour

ShotEdgeOwnTheirs
FH to the middle · return+9.2±3.2+4.3+5.0
BH to their forehand · rally+7.2±5.2+4.0+3.3
BH to their backhand · return+6.0±4.0+3.2+2.8
BH to their backhand · serve +1+5.5±4.1+3.6+1.9
FH to the middle · rally+4.7±2.9+3.0+1.7
FH to their backhand · rally+3.6±4.4+3.1+0.4

Avoid

ShotEdgeOwnTheirs
BH to the middle · return−0.9±2.9+2.9−3.8
BH to the middle · rally+0.7±2.7+2.7−2.0
FH to their forehand · rally+0.8±3.7+1.8−1.0
BH to their backhand · rally+2.6±3.0+2.4+0.2
FH to their backhand · rally+3.6±4.4+3.1+0.4

Magdalena Rybarikova

Favour

ShotEdgeOwnTheirs
FH to their backhand · serve +1+5.4±4.9+2.8+2.6
BH slice to their backhand · rally+4.6±3.5+4.0+0.6
BH to the middle · rally+2.5±2.7+1.1+1.3
BH to the middle · return+1.2±2.8−0.1+1.3
BH slice to the middle · rally+0.1±2.7−2.2+2.3
FH to their forehand · rally−2.5±4.1−2.8+0.3

Avoid

ShotEdgeOwnTheirs
FH to the middle · rally−4.7±2.7−4.7±0.0
FH to their backhand · rally−3.4±4.2−4.6+1.1
FH to their forehand · rally−2.5±4.1−2.8+0.3
BH slice to the middle · rally+0.1±2.7−2.2+2.3
BH to the middle · return+1.2±2.8−0.1+1.3

Against Magdalena Rybarikova-like opponents

Caroline Wozniacki vMatchesServe pts wonReturn pts won
All charted opponents–59.8%48.8%
Players most similar to Magdalena Rybarikova6 67.5%49.1%
Magdalena Rybarikova (charted head-to-head)2 67.4%57.4%

Similar by tactical fingerprint: Mirra Andreeva, Karolina Muchova, Marie Bouzkova, Elise Mertens, Anna Bondar, Shelby Rogers, Petra Martic, Clara Burel, Alison Van Uytvanck, Saisai Zheng. When two players have rarely met, their records against these lookalikes fill the gap.

Charted head-to-head