RallyIQ

Game plan

Monica Seles v Vera Zvonareva

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

Forecast

Monica Seles wins, best of 3 67%90%: 34%–90% · best of 5: 71%
Serve points won 59.1% / 55.8% Monica / Vera · tour 56.3%
Strengths only, no similarity priors 67%serve 59.1% / 55.8%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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

CareerMonicaVera
Direction choice+0.28 ±0.09
better than 93%
+0.01 ±0.13
better than 54%
Shot selection+0.21 ±0.12
better than 67%
+0.03 ±0.15
better than 47%
Execution+0.14 ±0.30
better than 68%
+0.99 ±0.45
better than 92%
Points left on the table2.59 ±0.13
lower than 53%
2.43 ±0.24
lower than 71%

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.

Monica Seles serving

Deuce court

1st serveNowMonica winsv VeraMatchupOptimal
Wide30%67%64%64.6%±7.945% ▲
Body16%57%52%52.0%±10.61% ▼
T55%62%71%65.1%±8.754%

Optimal v Vera Zvonareva: +0.4±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +2.2 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowMonica winsv VeraMatchupOptimal
Wide49%66%69%69.2%±8.642% ▼
Body8%63%56%62.6%±11.80% ▼
T43%68%64%68.3%±7.958% ▲

Optimal v Vera Zvonareva: +0.6±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +0.9 per 100 first serves in before the returner adjusts.

Vera Zvonareva serving

Deuce court

1st serveNowVera winsv MonicaMatchupOptimal
Wide28%64%65%62.6%±8.643% ▲
Body22%54%58%54.2%±10.06% ▼
T50%73%65%70.7%±7.251%

Optimal v Monica Seles: +0.8±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +5.8 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowVera winsv MonicaMatchupOptimal
Wide43%61%59%54.2%±9.042%
Body24%56%54%54.0%±10.59% ▼
T34%65%63%63.6%±8.249% ▲

Optimal v Monica Seles: +0.7±1.1 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.

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.

Monica Seles returning

1st serve to the forehand

ReturnNowTourOwnv VeraValue
FH through the middle45%+4.2−2.2+0.8+2.7±2.7
FH crosscourt42%+5.3+0.8+2.0+8.1±3.9
FH down the line10%+1.5+1.0+2.3+4.8±4.7
FH slice through the middle2%−6.7+0.6±0.0−6.2±2.1
FH slice crosscourt1%−6.6+0.4±0.0−6.2±1.1

Lean FH crosscourt: +3.1±2.6 per 100 returns v the current mix (525 returns charted)

1st serve to the backhand

ReturnNowTourOwnv VeraValue
BH through the middle47%+6.0−2.1+0.9+4.9±2.4
BH crosscourt32%+7.7−2.5+2.1+7.4±3.3
BH down the line10%+2.2−0.6+0.6+2.2±4.7
BH slice through the middle4%−6.2+1.6+0.2−4.4±2.4
BH slice crosscourt3%−4.2−2.6+0.9−5.9±2.4

Lean BH crosscourt: +2.8±2.6 per 100 returns v the current mix (646 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv VeraValue
FH crosscourt47%+0.5+1.7+0.9+3.2±4.4
FH through the middle27%−3.2−1.0−1.0−5.2±3.1
FH down the line26%−0.6+1.9−1.1+0.3±5.2

Lean FH crosscourt: +3.0±2.8 per 100 returns v the current mix (158 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv VeraValue
BH crosscourt48%+1.5+3.0+2.5+7.0±3.5
BH through the middle36%−2.6+1.6+0.2−0.8±2.8
BH down the line14%−0.5+1.9+1.6+2.9±5.2
FH inside-in3%+0.7+3.9+0.9+5.6±3.9

Lean BH crosscourt: +3.4±2.2 per 100 returns v the current mix (219 returns charted)

Vera Zvonareva returning

1st serve to the forehand

ReturnNowTourOwnv MonicaValue
FH through the middle43%+4.2+0.8−3.8+1.2±2.8
FH down the line26%+1.5+5.0−1.8+4.7±4.6
FH crosscourt17%+5.3+0.3+2.9+8.5±4.1
FH slice through the middle11%−6.7+1.8+2.2−2.6±2.5
FH slice crosscourt3%−6.6−0.7+1.1−6.2±2.1

Lean FH crosscourt: +5.8±3.8 per 100 returns v the current mix (209 returns charted)

1st serve to the backhand

ReturnNowTourOwnv MonicaValue
BH through the middle54%+6.0+1.0−2.6+4.4±2.6
BH crosscourt21%+7.7+1.1−0.2+8.6±3.4
BH down the line15%+2.2−1.0−1.9−0.7±4.2
BH slice through the middle10%−6.2+0.6+4.1−1.5±2.0

Lean BH crosscourt: +4.7±3.1 per 100 returns v the current mix (106 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv MonicaValue
FH down the line42%−0.6+1.3±0.0+0.7±4.9
FH through the middle30%−3.2+1.4−2.0−3.8±2.8
FH crosscourt28%+0.5+1.8+0.5+2.9±4.0

Lean FH crosscourt: +2.9±3.7 per 100 returns v the current mix (53 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv MonicaValue
BH through the middle47%−2.6+0.3−2.1−4.4±2.7
BH crosscourt39%+1.5+1.2+2.3+5.0±3.5
BH down the line14%−0.5−0.6+3.0+1.9±4.7

Lean BH crosscourt: +4.9±2.6 per 100 returns v the current mix (83 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.

Monica Seles

Favour

ShotEdgeOwnTheirs
BH to their forehand · return+6.4±3.9+3.0+3.4
BH to their backhand · serve +1+5.1±3.2+0.6+4.5
FH to their backhand · return+5.0±3.7+2.9+2.1
FH to their forehand · return+4.7±4.2+3.8+0.8
FH to the middle · rally+2.8±2.1−0.5+3.3
BH to their backhand · return+1.4±3.3±0.0+1.3

Avoid

ShotEdgeOwnTheirs
FH to their forehand · serve +1−2.1±3.6−3.2+1.1
FH to the middle · return−1.8±2.4−2.0+0.2
BH to the middle · serve +1−1.7±2.5−1.1−0.6
BH to their forehand · rally−1.6±3.4+0.3−1.9
BH to their backhand · rally−1.3±2.3−1.2−0.2

Vera Zvonareva

Favour

ShotEdgeOwnTheirs
FH to their backhand · return+5.4±3.9+3.2+2.2
BH to their forehand · rally+2.5±3.5−0.6+3.1
BH to their backhand · return+2.4±3.4+1.9+0.6
FH to their forehand · rally+2.1±2.5+2.6−0.5
BH to the middle · return +1+1.9±2.6+1.2+0.8
FH to their backhand · serve +1+1.9±3.6+1.9±0.0

Avoid

ShotEdgeOwnTheirs
FH to their backhand · rally−3.2±2.6−1.1−2.1
BH to their forehand · return +1−2.6±4.6−3.1+0.5
BH to their backhand · rally−2.1±2.8+0.8−2.9
BH to the middle · return−1.3±2.2+0.9−2.2
FH to their forehand · return +1−1.1±3.8−0.2−0.9

Against Vera Zvonareva-like opponents

Monica Seles vMatchesServe pts wonReturn pts won
All charted opponents–58.9%45.0%

Similar by tactical fingerprint: Magdalena Frech, Jaqueline Cristian, Victoria Azarenka, Linda Fruhvirtova, Simona Halep, Mona Barthel, Kate Makarova, Jelena Jankovic, Nadia Petrova, Dinara Safina. When two players have rarely met, their records against these lookalikes fill the gap.