RallyIQ

Game plan

Viktoria Hruncakova v Jelena Dokic

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

Forecast

Viktoria Hruncakova wins, best of 3 81%90%: 40%–98% · best of 5: 87%
Serve points won 58.4% / 51.7% Viktoria / Jelena · tour 55.0%
Strengths only, no similarity priors 81%serve 58.4% / 51.7%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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

CareerViktoriaJelena
Direction choice+0.30 ±0.09
better than 94%
+0.52 ±0.09
better than 99%
Shot selection−0.38 ±0.16
better than 18%
+0.15 ±0.13
better than 60%
Execution−0.82 ±0.52
better than 23%
−1.44 ±0.86
better than 12%
Points left on the table2.14 ±0.13
lower than 96%
1.89 ±0.16
lower than 99%

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.

Viktoria Hruncakova serving

Deuce court

1st serveNowViktoria winsv JelenaMatchupOptimal
Wide50%68%74%76.3%±7.765% ▲
Body8%54%65%61.6%±15.60% ▼
T43%78%73%82.0%±7.235% ▼

Optimal v Jelena Dokic: +0.6±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +4.4 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowViktoria winsv JelenaMatchupOptimal
Wide43%59%68%61.3%±11.158% ▲
Body7%53%57%54.2%±16.70% ▼
T50%66%67%68.8%±9.442% ▼

Optimal v Jelena Dokic: +0.5±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.

Jelena Dokic serving

Deuce court

1st serveNowJelena winsv ViktoriaMatchupOptimal
Wide45%66%68%67.8%±9.655% ▲
Body14%52%59%53.4%±12.80% ▼
T41%64%71%66.9%±10.445% ▲

Optimal v Viktoria Hruncakova: +0.5±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +2.3 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowJelena winsv ViktoriaMatchupOptimal
Wide41%67%72%73.2%±9.457% ▲
Body8%55%53%51.8%±14.80% ▼
T51%62%61%59.0%±10.643% ▼

Optimal v Viktoria Hruncakova: +0.6±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +8.9 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.

Viktoria Hruncakova returning

1st serve to the forehand

ReturnNowTourOwnv JelenaValue
FH through the middle39%+4.2−2.0−1.9+0.3±3.1
FH crosscourt31%+5.3−2.5−2.5+0.3±4.4
FH slice through the middle14%−6.7+0.6−0.6−6.8±2.1
FH slice crosscourt9%−6.6−2.1±0.0−8.7±1.6
FH down the line8%+1.5+3.5+4.6+9.6±4.3

Lean FH through the middle: +1.0±2.4 per 100 returns v the current mix (160 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv JelenaValue
BH through the middle49%+6.0−2.1−0.6+3.3±2.9
BH crosscourt21%+7.7+1.2−0.7+8.3±3.6
BH down the line13%+2.2+0.5+2.2+4.9±4.4
BH slice crosscourt11%−4.2−0.5±0.0−4.6±1.8
BH slice through the middle7%−6.2+0.2−0.2−6.2±1.7

Lean BH crosscourt: +5.2±3.3 per 100 returns v the current mix (131 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv JelenaValue
BH through the middle44%−2.6+1.1−1.9−3.4±2.8
BH crosscourt40%+1.5−1.0−1.4−1.0±3.6
BH down the line16%−0.5+0.5+0.6+0.5±4.7

Lean BH crosscourt: +0.8±2.6 per 100 returns v the current mix (85 returns charted, inside the 90% margin)

Jelena Dokic returning

1st serve to the forehand

ReturnNowTourOwnv ViktoriaValue
FH through the middle50%+4.2−0.5+2.3+6.0±3.1
FH crosscourt31%+5.3+0.1+0.4+5.8±4.4
FH down the line19%+1.5−2.6−2.1−3.1±4.4

Lean FH through the middle: +1.8±2.2 per 100 returns v the current mix (148 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv ViktoriaValue
BH through the middle37%+6.0−2.2−0.4+3.4±2.9
BH crosscourt34%+7.7−0.7+0.5+7.5±3.5
BH down the line20%+2.2−0.7+0.3+1.7±4.5
BH slice crosscourt5%−4.2+0.5−0.6−4.3±2.3
BH slice through the middle4%−6.2−0.9−1.3−8.5±2.0

Lean BH crosscourt: +3.9±2.7 per 100 returns v the current mix (121 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv ViktoriaValue
FH crosscourt62%+0.5+2.4+1.5+4.4±4.5
FH through the middle21%−3.2+0.6−1.6−4.2±3.0
FH down the line17%−0.6−2.5−1.5−4.5±4.7

Lean FH crosscourt: +3.3±2.0 per 100 returns v the current mix (103 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv ViktoriaValue
BH crosscourt57%+1.5−0.8−1.4−0.6±3.6
BH through the middle25%−2.6+0.2+0.8−1.7±2.6
BH down the line18%−0.5+1.1+0.4+0.9±4.7

Lean BH crosscourt: ±0.0±1.9 per 100 returns v the current mix (76 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.

Viktoria Hruncakova

Favour

ShotEdgeOwnTheirs
BH to their forehand · return+6.4±6.6+2.3+4.1
FH to their forehand · serve +1+2.5±5.5−0.8+3.3
FH to their forehand · return +1+1.9±5.0+1.8+0.2
BH to their backhand · serve +1+0.7±5.0±0.0+0.7
BH to their backhand · rally−0.5±4.6+0.8−1.3
FH to the middle · serve +1−0.6±3.7−0.8+0.3

Avoid

ShotEdgeOwnTheirs
BH to the middle · return−7.7±3.7−2.7−5.1
FH to their backhand · serve +1−6.2±5.9−5.3−0.8
FH to their forehand · return−5.9±6.0−3.7−2.2
BH to the middle · rally−5.1±3.5−3.1−2.0
FH to their forehand · rally−4.7±5.1−3.3−1.4

Jelena Dokic

Favour

ShotEdgeOwnTheirs
FH to their forehand · return+6.2±6.1+2.7+3.5
FH to their forehand · serve +1+5.0±5.7−0.9+5.9
FH to their forehand · return +1+1.1±5.4+1.5−0.4
BH to the middle · rally+1.1±3.0−0.8+1.9
FH to their backhand · serve +1+0.9±5.8−1.0+1.9
FH to their forehand · rally+0.6±5.2−1.0+1.5

Avoid

ShotEdgeOwnTheirs
BH to their backhand · serve +1−4.1±4.6−0.8−3.4
BH to the middle · return−2.7±3.3−2.0−0.7
FH to the middle · return−2.5±3.9−2.4−0.1
BH to their backhand · rally−1.7±4.6−3.4+1.7
FH to their backhand · rally+0.6±5.6−1.9+2.5

Against Jelena Dokic-like opponents

Viktoria Hruncakova vMatchesServe pts wonReturn pts won
All charted opponents–58.5%43.4%

Similar by tactical fingerprint: Naomi Osaka, Ekaterina Alexandrova, Rebecca Sramkova, Serena Williams, Kim Clijsters, Maria Sharapova, Ana Ivanovic, Daniela Hantuchova, Lindsay Davenport. When two players have rarely met, their records against these lookalikes fill the gap.