RallyIQ

Game plan

Nadia Podoroska v Dominika Cibulkova

Every number combines what Nadia Podoroska 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

Nadia Podoroska wins, best of 3 25%90%: 3%–68% · best of 5: 20%
Serve points won 54.6% / 59.8% Nadia / Dominika · tour 58.1%
Strengths only, no similarity priors 25%serve 54.6% / 59.8%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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

CareerNadiaDominika
Direction choice−0.12 ±0.12
better than 33%
−0.17 ±0.12
better than 22%
Shot selection+0.26 ±0.15
better than 74%
+0.17 ±0.10
better than 62%
Execution−1.45 ±0.80
better than 11%
−0.60 ±0.39
better than 29%
Points left on the table2.72 ±0.10
lower than 30%
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.

Nadia Podoroska serving

Deuce court

1st serveNowNadia winsv DominikaMatchupOptimal
Wide36%57%67%58.0%±9.047% ▲
Body21%50%60%52.8%±10.66% ▼
T43%66%69%67.2%±8.447% ▲

Optimal v Dominika Cibulkova: +0.4±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +6.3 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowNadia winsv DominikaMatchupOptimal
Wide34%60%70%64.9%±8.949% ▲
Body23%64%58%65.5%±10.223%
T43%55%70%60.9%±8.728% ▼

Optimal v Dominika Cibulkova: +0.7±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving body every time would read +2.2 per 100 first serves in before the returner adjusts.

Dominika Cibulkova serving

Deuce court

1st serveNowDominika winsv NadiaMatchupOptimal
Wide29%62%71%67.7%±8.644% ▲
Body37%58%65%65.7%±8.837%
T34%61%69%61.9%±9.419% ▼

Optimal v Nadia Podoroska: +0.4±1.1 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 serveNowDominika winsv NadiaMatchupOptimal
Wide25%62%70%66.6%±8.741% ▲
Body31%55%62%61.4%±10.216% ▼
T44%58%64%57.4%±9.643%

Optimal v Nadia Podoroska: +0.6±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +5.7 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.

Nadia Podoroska returning

1st serve to the forehand

ReturnNowTourOwnv DominikaValue
FH through the middle42%+4.2−0.8−1.9+1.5±2.7
FH crosscourt19%+5.3+0.1+2.9+8.3±4.0
FH slice through the middle19%−6.7−0.1−0.7−7.6±2.2
FH down the line11%+1.5+2.0+4.4+8.0±4.3
FH slice crosscourt8%−6.6+1.2−0.2−5.6±2.1

Lean FH crosscourt: +7.1±3.5 per 100 returns v the current mix (144 returns charted)

1st serve to the backhand

ReturnNowTourOwnv DominikaValue
BH through the middle56%+6.0+0.4−0.8+5.6±2.5
BH crosscourt26%+7.7−0.4+2.1+9.4±3.4
BH down the line10%+2.2−1.2+4.3+5.3±4.3
BH slice through the middle5%−6.2+0.5+0.6−5.1±1.9
BH slice down the line3%−12.5+0.8±0.0−11.7±1.5

Lean BH crosscourt: +3.9±2.9 per 100 returns v the current mix (171 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv DominikaValue
BH through the middle41%−2.6+0.8−2.4−4.2±2.6
BH crosscourt30%+1.5−1.0+2.9+3.3±3.4
FH through the middle13%−2.7±0.0−2.7−5.3±2.4
BH down the line6%−0.5−2.2+3.5+0.8±4.4
FH inside-in5%+0.7+0.6−1.1+0.2±3.8

Lean BH crosscourt: +4.6±2.7 per 100 returns v the current mix (98 returns charted)

Dominika Cibulkova returning

1st serve to the forehand

ReturnNowTourOwnv NadiaValue
FH through the middle56%+4.2−0.8+0.8+4.2±2.7
FH crosscourt25%+5.3+1.7−0.3+6.7±4.3
FH down the line17%+1.5−5.3+0.5−3.3±4.7
FH slice through the middle2%−6.7−1.4−0.4−8.5±1.9

Lean FH crosscourt: +3.5±3.7 per 100 returns v the current mix (366 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv NadiaValue
BH through the middle44%+6.0−0.9−0.1+5.0±2.6
BH crosscourt21%+7.7+1.6+0.8+10.2±3.6
BH slice through the middle18%−6.2+0.4−1.4−7.2±2.3
BH down the line8%+2.2+0.4+2.1+4.7±4.5
BH slice crosscourt6%−4.2+0.2+0.7−3.2±2.7

Lean BH crosscourt: +7.4±3.2 per 100 returns v the current mix (358 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv NadiaValue
FH through the middle53%−3.2+0.7−0.9−3.4±3.0
FH crosscourt26%+0.5+1.1−1.7−0.1±4.4
FH down the line22%−0.6+2.6−1.5+0.6±4.9

Lean FH down the line: +2.3±4.3 per 100 returns v the current mix (139 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv NadiaValue
BH through the middle41%−2.6−1.4+0.8−3.2±2.8
BH crosscourt39%+1.5−0.6+2.7+3.6±3.7
FH through the middle7%−2.7−1.0−0.9−4.6±2.4
BH down the line6%−0.5−1.0−0.7−2.2±4.3
FH inside-in4%+0.7+1.7−1.7+0.7±3.9

Lean BH crosscourt: +4.0±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.

Nadia Podoroska

Favour

ShotEdgeOwnTheirs
FH to their forehand · rally+7.5±4.9+5.7+1.9
FH to their forehand · return+3.8±5.2−0.2+4.0
BH to their backhand · return +1+2.5±5.0−0.5+3.0
BH to their backhand · return+0.5±4.8−3.3+3.8
FH to their forehand · return +1+0.3±4.7−2.6+2.9
FH to the middle · return +1−0.3±2.6+0.6−0.9

Avoid

ShotEdgeOwnTheirs
BH to their forehand · rally−10.8±5.3−6.9−3.8
BH to the middle · rally−6.1±3.2−2.8−3.3
FH to the middle · rally−5.9±3.4−1.6−4.4
FH to the middle · return−5.2±3.8−0.8−4.4
FH to their forehand · serve +1−5.2±5.5−4.7−0.5

Dominika Cibulkova

Favour

ShotEdgeOwnTheirs
FH to their backhand · return +1+6.6±5.1+4.1+2.4
FH to the middle · rally+1.9±2.9+2.2−0.3
BH to their backhand · serve +1+1.8±4.0+2.5−0.7
FH to their forehand · rally+1.7±4.9+3.2−1.5
FH to the middle · return+1.2±4.0−2.6+3.7
FH to the middle · serve +1+0.1±3.7+0.5−0.3

Avoid

ShotEdgeOwnTheirs
BH to the middle · rally−4.7±2.7−2.4−2.3
FH to their forehand · return−4.7±4.8−3.3−1.4
FH to their forehand · serve +1−4.4±4.7−4.7+0.3
FH to their backhand · return−4.2±6.2−2.6−1.6
BH to their forehand · rally−3.6±5.2−2.1−1.5

Against Dominika Cibulkova-like opponents

Nadia Podoroska vMatchesServe pts wonReturn pts won
All charted opponents–52.4%37.7%

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