RallyIQ

Game plan

Jelena Dokic v Elena Rybakina

Every number combines what Jelena Dokic does well with what Elena Rybakina allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Jelena Dokic wins, best of 3 4%90%: 1%–16% · best of 5: 1%
Serve points won 51.7% / 65.1% Jelena / Elena · tour 56.3%
Strengths only, no similarity priors 4%serve 51.7% / 65.1%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Jelena Dokic's record against Elena Rybakina'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

CareerJelenaElena
Direction choice+0.52 ±0.09
better than 99%
+0.15 ±0.03
better than 80%
Shot selection+0.15 ±0.13
better than 60%
+0.33 ±0.06
better than 81%
Execution−1.44 ±0.86
better than 12%
+0.40 ±0.26
better than 75%
Points left on the table1.89 ±0.16
lower than 99%
2.42 ±0.05
lower than 73%

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.

Jelena Dokic serving

Deuce court

1st serveNowJelena winsv ElenaMatchupOptimal
Wide45%66%65%65.0%±7.456% ▲
Body14%52%57%51.3%±10.70% ▼
T41%64%67%62.9%±8.044% ▲

Optimal v Elena Rybakina: +0.3±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +2.7 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowJelena winsv ElenaMatchupOptimal
Wide41%67%68%68.9%±7.750% ▲
Body8%55%58%57.1%±12.50% ▼
T51%62%65%62.6%±7.650%

Optimal v Elena Rybakina: +0.3±0.5 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +4.1 per 100 first serves in before the returner adjusts.

Elena Rybakina serving

Deuce court

1st serveNowElena winsv JelenaMatchupOptimal
Wide39%71%74%78.1%±5.855% ▲
Body11%63%65%69.5%±10.60% ▼
T50%78%73%82.4%±5.145% ▼

Optimal v Jelena Dokic: +0.7±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +3.1 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowElena winsv JelenaMatchupOptimal
Wide55%78%68%79.6%±6.070% ▲
Body9%61%57%62.3%±11.80% ▼
T36%70%67%72.6%±6.830% ▼

Optimal v Jelena Dokic: +0.8±0.8 per 100 first serves (faults included) over the current mix. Serving wide every time would read +4.1 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.

Jelena Dokic returning

1st serve to the forehand

ReturnNowTourOwnv ElenaValue
FH through the middle50%+4.2−0.5−1.3+2.4±2.5
FH crosscourt31%+5.3+0.1−1.6+3.8±3.7
FH down the line19%+1.5−2.6−1.6−2.6±4.0

Lean FH crosscourt: +1.9±2.9 per 100 returns v the current mix (148 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv ElenaValue
BH through the middle37%+6.0−2.2−0.8+3.0±2.3
BH crosscourt34%+7.7−0.7−2.4+4.6±3.0
BH down the line20%+2.2−0.7−2.3−0.9±3.9
BH slice crosscourt5%−4.2+0.5−6.1−9.8±2.4
BH slice through the middle4%−6.2−0.9−1.5−8.6±1.7

Lean BH crosscourt: +3.0±2.3 per 100 returns v the current mix (121 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv ElenaValue
FH crosscourt62%+0.5+2.4+0.7+3.6±3.9
FH through the middle21%−3.2+0.6−0.5−3.1±2.4
FH down the line17%−0.6−2.5−0.2−3.2±4.4

Lean FH crosscourt: +2.5±1.7 per 100 returns v the current mix (103 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv ElenaValue
BH crosscourt57%+1.5−0.8−0.3+0.4±2.9
BH through the middle25%−2.6+0.2−0.5−2.9±1.9
BH down the line18%−0.5+1.1−1.8−1.2±3.8

Lean BH crosscourt: +1.1±1.5 per 100 returns v the current mix (76 returns charted, inside the 90% margin)

Elena Rybakina returning

1st serve to the forehand

ReturnNowTourOwnv JelenaValue
FH through the middle46%+4.2−0.8−1.9+1.5±2.4
FH down the line31%+1.5−0.2+4.6+6.0±3.7
FH crosscourt15%+5.3+0.1−2.5+2.9±3.7
FH slice through the middle5%−6.7−3.4−0.6−10.7±2.1
FH slice crosscourt2%−6.6−0.6±0.0−7.2±2.0

Lean FH down the line: +3.8±2.9 per 100 returns v the current mix (2246 returns charted)

1st serve to the backhand

ReturnNowTourOwnv JelenaValue
BH through the middle44%+6.0±0.0−0.6+5.4±2.3
BH crosscourt22%+7.7+1.7−0.7+8.8±3.1
BH down the line19%+2.2+0.2+2.2+4.6±4.0
BH slice through the middle8%−6.2−1.3−0.2−7.7±1.9
BH slice crosscourt4%−4.2−1.2±0.0−5.3±2.2

Lean BH crosscourt: +4.9±2.8 per 100 returns v the current mix (1613 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv JelenaValue
FH through the middle41%−3.2−1.1+1.3−2.9±2.7
FH crosscourt30%+0.5+2.4+0.5+3.4±4.0
FH down the line28%−0.6−0.8−3.8−5.2±4.6
FH slice through the middle2%−15.2−0.7±0.0−15.9±1.4

Lean FH crosscourt: +5.3±3.3 per 100 returns v the current mix (580 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv JelenaValue
BH crosscourt43%+1.5+0.4−1.4+0.5±3.1
BH through the middle40%−2.6±0.0−1.9−4.5±2.4
BH down the line16%−0.5+0.8+0.6+0.9±4.8

Lean BH down the line: +2.4±4.4 per 100 returns v the current mix (849 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.

Jelena Dokic

Favour

ShotEdgeOwnTheirs
FH to their forehand · serve +1+3.3±3.1+0.9+2.4
FH to their forehand · return+1.6±3.4+2.3−0.6
FH to their forehand · return +1+1.3±3.1+1.4−0.2
BH to their forehand · rally+0.6±3.8−0.4+0.9
BH to their backhand · serve +1+0.3±2.9+1.0−0.7
FH to their forehand · rally−0.3±2.4−0.8+0.4

Avoid

ShotEdgeOwnTheirs
BH to the middle · return−4.1±2.1−2.0−2.2
BH to their backhand · return−2.5±2.7−0.6−1.9
BH to their backhand · rally−2.5±2.3−2.9+0.5
FH to the middle · return−1.9±2.2−0.5−1.4
BH to the middle · rally−1.2±2.0−0.8−0.3

Elena Rybakina

Favour

ShotEdgeOwnTheirs
FH to their forehand · serve +1+4.9±3.1+0.9+4.0
FH to their backhand · serve +1+1.4±3.5+2.3−0.9
BH to their forehand · return+1.2±3.7−0.8+2.0
FH to their forehand · return+0.6±3.5+2.0−1.4
FH to their forehand · return +1+0.2±3.1+0.3−0.1
FH to their backhand · return−0.1±3.5−1.6+1.5

Avoid

ShotEdgeOwnTheirs
FH to the middle · serve +1−3.7±2.2−2.3−1.4
BH to the middle · rally−3.1±2.0−1.1−1.9
FH to the middle · rally−2.7±2.1−2.5−0.2
BH to the middle · return−1.6±2.0±0.0−1.5
BH to their backhand · rally−1.4±2.3−0.3−1.1

Against Elena Rybakina-like opponents

Jelena Dokic vMatchesServe pts wonReturn pts won
All charted opponents–53.4%39.9%

Similar by tactical fingerprint: Barbora Krejcikova, Anastasia Pavlyuchenkova, Veronika Kudermetova, Danielle Collins, Petra Kvitova, Caroline Garcia, Rebecca Marino, Anett Kontaveit, Johanna Konta, Coco Vandeweghe. When two players have rarely met, their records against these lookalikes fill the gap.