RallyIQ

Game plan

Caroline Wozniacki v Oksana Selekhmeteva

Every number combines what Caroline Wozniacki does well with what Oksana Selekhmeteva 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 72%90%: 33%–95% · best of 5: 77%
Serve points won 55.0% / 50.6% Caroline / Oksana · tour 55.0%
Strengths only, no similarity priors 72%serve 55.0% / 50.6%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Oksana Selekhmeteva'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

CareerCarolineOksana
Direction choice+0.03 ±0.05
better than 59%
−0.18 ±0.10
better than 20%
Shot selection+0.06 ±0.06
better than 52%
−1.25 ±0.40
better than 2%
Execution+2.22 ±0.16
better than 100%
−0.70 ±1.03
better 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.

Caroline Wozniacki serving

Deuce court

1st serveNowCaroline winsv OksanaMatchupOptimal
Wide42%67%63%64.9%±8.557% ▲
Body25%62%50%54.9%±10.810% ▼
T33%71%67%70.0%±9.333%

Optimal v Oksana Selekhmeteva: +1.0±1.0 per 100 first serves (faults included) over the current mix. Serving T every time would read +5.9 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowCaroline winsv OksanaMatchupOptimal
Wide35%68%58%60.1%±9.635%
Body24%59%61%63.7%±10.79% ▼
T41%63%70%68.6%±9.856% ▲

Optimal v Oksana Selekhmeteva: +0.6±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +4.2 per 100 first serves in before the returner adjusts.

Oksana Selekhmeteva serving

Deuce court

1st serveNowOksana winsv CarolineMatchupOptimal
Wide13%66%60%60.5%±12.528% ▲
Body25%56%50%48.3%±10.610% ▼
T62%61%63%55.5%±8.062%

Optimal v Caroline Wozniacki: +0.6±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +6.1 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowOksana winsv CarolineMatchupOptimal
Wide61%63%60%58.0%±7.561%
Body25%62%47%53.7%±11.010% ▼
T14%74%59%68.6%±11.329% ▲

Optimal v Caroline Wozniacki: +1.0±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +10.2 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 OksanaValue
FH through the middle52%+4.2+3.4−0.9+6.6±2.4
FH crosscourt21%+5.3+3.9−1.1+8.1±3.0
FH down the line16%+1.5+6.2+2.5+10.2±3.8
FH slice through the middle7%−6.7−1.5±0.0−8.2±1.4
FH slice crosscourt2%−6.6−1.7±0.0−8.3±2.0

Lean FH down the line: +4.3±3.5 per 100 returns v the current mix (2852 returns charted)

1st serve to the backhand

ReturnNowTourOwnv OksanaValue
BH through the middle45%+6.0+2.8+5.2+14.1±2.2
BH crosscourt36%+7.7+4.0+2.0+13.7±2.9
BH slice through the middle9%−6.2−1.9±0.0−8.1±1.6
BH down the line5%+2.2+5.0−2.9+4.2±4.6
BH slice down the line3%−12.5−2.1±0.0−14.6±2.6

Lean BH through the middle: +3.9±1.6 per 100 returns v the current mix (1809 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv OksanaValue
FH through the middle43%−3.2+3.7+0.7+1.2±2.3
FH down the line29%−0.6+2.5−3.1−1.2±4.5
FH crosscourt26%+0.5+3.0−1.3+2.3±3.2
BH inside-out1%+2.2+0.3−1.5+1.0±3.7
BH through the middle1%−1.0−0.3−0.6−1.8±2.0

Lean FH crosscourt: +1.7±2.9 per 100 returns v the current mix (983 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv OksanaValue
BH crosscourt54%+1.5+3.5−1.2+3.8±2.6
BH through the middle35%−2.6+4.1−0.6+0.9±2.4
BH down the line12%−0.5+2.0−1.5−0.1±5.0

Lean BH crosscourt: +1.4±1.6 per 100 returns v the current mix (834 returns charted, inside the 90% margin)

Oksana Selekhmeteva returning

1st serve to the forehand

ReturnNowTourOwnv CarolineValue
FH crosscourt38%+5.3+2.5+3.6+11.4±3.3
FH through the middle30%+4.2−1.8+0.9+3.3±2.1
FH slice through the middle20%−6.7+0.9+0.3−5.5±2.0
FH slice crosscourt12%−6.6+0.2−1.3−7.7±2.4

Lean FH crosscourt: +8.0±2.2 per 100 returns v the current mix (60 returns charted)

1st serve to the backhand

ReturnNowTourOwnv CarolineValue
BH slice through the middle30%−6.2+1.0−1.3−6.6±2.2
BH through the middle29%+6.0+1.7±0.0+7.8±2.1
BH slice crosscourt21%−4.2+0.3−0.6−4.4±2.8
BH crosscourt20%+7.7+0.3−1.1+6.9±2.6

Lean BH through the middle: +7.1±1.8 per 100 returns v the current mix (76 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv CarolineValue
BH through the middle67%−2.6−0.1+1.8−0.9±2.3
BH crosscourt19%+1.5−0.4+2.9+4.0±2.7
BH down the line14%−0.5−2.0+0.3−2.3±3.4

Lean BH through the middle: −0.7±1.0 per 100 returns v the current mix (64 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 clay. Each player's clay record is shrunk toward their all-surface one, so a thin sample on it moves the numbers only a little.

Caroline Wozniacki

Favour

ShotEdgeOwnTheirs
BH to the middle · return+9.0±3.1+2.6+6.4
FH to the middle · return+4.0±2.8+4.1−0.2
FH to their forehand · return+3.9±4.4+4.6−0.7
FH to the middle · rally+1.5±2.4+2.2−0.7
BH to their forehand · rally+1.3±4.3+2.0−0.7
BH to their backhand · return+0.9±3.2+3.8−3.0

Avoid

ShotEdgeOwnTheirs
FH to their backhand · rally−5.7±4.5+2.0−7.7
FH to their forehand · serve +1−3.1±4.0+2.2−5.3
FH to their forehand · rally−2.4±4.1+1.7−4.2
BH to their backhand · rally−1.1±3.7+3.7−4.7
BH to the middle · rally+0.1±2.8+2.3−2.3

Oksana Selekhmeteva

Favour

ShotEdgeOwnTheirs
FH to their backhand · serve +1+5.6±5.0+0.6+5.0
FH to their backhand · rally+4.1±4.4+1.6+2.5
BH slice to the middle · rally+3.4±2.5+1.0+2.4
FH to the middle · rally+3.1±3.0+0.9+2.2
FH to the middle · return+2.8±3.5−0.6+3.4
FH to the middle · serve +1+2.6±3.3+0.2+2.4

Avoid

ShotEdgeOwnTheirs
FH to their forehand · rally−2.1±4.3−2.6+0.5
BH to the middle · return−0.9±3.2−3.4+2.5
FH to the middle · serve +1+2.6±3.3+0.2+2.4
FH to the middle · return+2.8±3.5−0.6+3.4
FH to the middle · rally+3.1±3.0+0.9+2.2

Against Oksana Selekhmeteva-like opponents

Caroline Wozniacki vMatchesServe pts wonReturn pts won
All charted opponents–59.8%48.8%