RallyIQ

Game plan

Vera Zvonareva v Nadia Petrova

Every number combines what Vera Zvonareva does well with what Nadia Petrova allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Vera Zvonareva wins, best of 3 41%90%: 9%–82% · best of 5: 39%
Serve points won 60.7% / 62.6% Vera / Nadia · tour 58.1%
Strengths only, no similarity priors 38%serve 60.2% / 62.5%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Vera Zvonareva's record against Nadia Petrova's tactical lookalikes and in their charted head-to-heads (lookalikes: +11.9 on serve, −1.0 on return vs expectation (120 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

CareerVeraNadia
Direction choice+0.01 ±0.13
better than 54%
+0.28 ±0.13
better than 94%
Shot selection+0.03 ±0.15
better than 47%
+0.25 ±0.17
better than 73%
Execution+0.99 ±0.45
better than 92%
−0.08 ±0.50
better than 57%
Points left on the table2.43 ±0.24
lower than 71%
2.26 ±0.16
lower than 89%

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.

Vera Zvonareva serving

Deuce court

1st serveNowVera winsv NadiaMatchupOptimal
Wide28%64%64%62.1%±10.028%
Body22%54%63%59.8%±12.56% ▼
T50%73%75%79.3%±7.966% ▲

Optimal v Nadia Petrova: +1.0±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +9.0 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowVera winsv NadiaMatchupOptimal
Wide43%61%64%59.5%±10.642%
Body24%56%59%58.7%±12.39% ▼
T34%65%61%61.8%±10.349% ▲

Optimal v Nadia Petrova: +0.6±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +1.7 per 100 first serves in before the returner adjusts.

Nadia Petrova serving

Deuce court

1st serveNowNadia winsv VeraMatchupOptimal
Wide34%62%64%59.6%±10.050% ▲
Body20%66%52%61.5%±12.14% ▼
T46%71%71%73.5%±9.246%

Optimal v Vera Zvonareva: +0.5±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +7.1 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowNadia winsv VeraMatchupOptimal
Wide41%62%69%65.1%±11.037% ▼
Body11%57%56%56.5%±14.10% ▼
T48%62%64%61.5%±9.963% ▲

Optimal v Vera Zvonareva: +0.5±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.

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.

Vera Zvonareva returning

1st serve to the forehand

ReturnNowTourOwnv NadiaValue
FH through the middle43%+4.2+0.8+1.1+6.0±3.1
FH down the line26%+1.5+5.0−1.5+5.1±4.7
FH crosscourt17%+5.3+0.3+2.6+8.2±4.3
FH slice through the middle11%−6.7+1.8−0.1−4.9±2.2
FH slice crosscourt3%−6.6−0.7±0.0−7.3±1.2

Lean FH crosscourt: +3.7±4.0 per 100 returns v the current mix (209 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv NadiaValue
BH through the middle54%+6.0+1.0−0.5+6.5±2.9
BH crosscourt21%+7.7+1.1+1.5+10.3±3.5
BH down the line15%+2.2−1.0−2.4−1.3±4.4
BH slice through the middle10%−6.2+0.6+0.4−5.3±1.9

Lean BH crosscourt: +5.4±3.2 per 100 returns v the current mix (106 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv NadiaValue
FH down the line42%−0.6+1.3+0.6+1.4±5.0
FH through the middle30%−3.2+1.4+0.9−0.9±2.9
FH crosscourt28%+0.5+1.8−2.1+0.2±4.1

Lean FH down the line: +1.0±3.2 per 100 returns v the current mix (53 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv NadiaValue
BH through the middle47%−2.6+0.3+0.3−2.0±2.8
BH crosscourt39%+1.5+1.2+1.0+3.7±3.6
BH down the line14%−0.5−0.6±0.0−1.1±4.7

Lean BH crosscourt: +3.4±2.7 per 100 returns v the current mix (83 returns charted)

Nadia Petrova returning

1st serve to the forehand

ReturnNowTourOwnv VeraValue
FH down the line35%+1.5+2.9+2.0+6.4±4.7
FH through the middle32%+4.2+0.8+0.8+5.7±3.1
FH slice through the middle17%−6.7±0.0±0.0−6.8±2.4
FH crosscourt10%+5.3−1.8+2.3+5.8±4.2
FH slice crosscourt3%−6.6+1.2±0.0−5.4±1.3

Lean FH down the line: +3.3±3.3 per 100 returns v the current mix (205 returns charted)

1st serve to the backhand

ReturnNowTourOwnv VeraValue
BH through the middle39%+6.0−1.2+0.9+5.8±2.8
BH crosscourt30%+7.7−2.2+0.6+6.2±3.7
BH down the line17%+2.2−0.8+2.1+3.5±4.5
BH slice through the middle14%−6.2−1.0+0.2−7.1±2.3

Lean BH crosscourt: +2.5±2.9 per 100 returns v the current mix (132 returns charted, inside the 90% margin)

2nd serve to the forehand

ReturnNowTourOwnv VeraValue
FH down the line48%−0.6+2.5+0.9+2.8±5.2
FH through the middle30%−3.2−1.6−1.0−5.9±3.0
FH crosscourt22%+0.5−3.2−1.1−3.7±4.1

Lean FH down the line: +4.0±3.0 per 100 returns v the current mix (77 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.

Vera Zvonareva

Favour

ShotEdgeOwnTheirs
BH to their backhand · serve +1+7.4±5.1+4.1+3.2
BH to their backhand · return +1+4.8±4.3+2.1+2.7
FH to the middle · return+4.7±4.1+3.7+1.0
FH to their forehand · rally+4.1±4.9+4.5−0.4
BH to their backhand · return+3.5±3.7+1.9+1.6
FH to their forehand · return+3.2±5.3+3.3−0.1

Avoid

ShotEdgeOwnTheirs
BH to their forehand · rally−3.9±6.0+1.1−5.0
BH to their forehand · return−3.1±5.7−0.7−2.4
FH to their forehand · return +1−1.7±5.0−0.2−1.5
BH to the middle · serve +1−0.8±3.7−0.3−0.5
BH to the middle · return−0.3±3.8−0.2±0.0

Nadia Petrova

Favour

ShotEdgeOwnTheirs
BH to their backhand · serve +1+9.9±5.0+3.7+6.2
FH to their forehand · serve +1+5.8±5.7+1.6+4.2
FH to their forehand · return +1+5.4±4.9+0.1+5.3
FH to the middle · rally+3.6±2.6+0.3+3.3
FH to their backhand · rally+3.6±5.4+0.5+3.1
FH to their forehand · rally+2.5±5.0−1.4+3.9

Avoid

ShotEdgeOwnTheirs
BH to their forehand · rally−6.7±6.2−3.1−3.6
BH to their backhand · return +1−4.7±5.1−2.7−2.0
BH to the middle · return−1.7±3.8−2.4+0.7
BH to their backhand · rally−1.0±4.4±0.0−1.1
FH to their backhand · return−0.9±5.4−3.0+2.1

Against Nadia Petrova-like opponents

Vera Zvonareva vMatchesServe pts wonReturn pts won
All charted opponents–56.6%42.3%
Players most similar to Nadia Petrova1 66.7%40.7%

Similar by tactical fingerprint: Mirra Andreeva, Elise Mertens, Victoria Azarenka, Simona Halep, Mona Barthel, Kate Makarova, Jelena Jankovic, Daniela Hantuchova, Lindsay Davenport. When two players have rarely met, their records against these lookalikes fill the gap.