RallyIQ

Game plan

Anastasia Myskina v Anastasia Potapova

Every number combines what Anastasia Myskina does well with what Anastasia Potapova allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Anastasia Myskina wins, best of 3 50%90%: 26%–74% · best of 5: 51%
Serve points won 53.2% / 53.1% Anastasia / Anastasia · tour 56.4%
Strengths only, no similarity priors 50%serve 53.2% / 53.1%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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

CareerAnastasiaAnastasia
Direction choice+0.17 ±0.16
better than 82%
+0.15 ±0.08
better than 79%
Shot selection+0.02 ±0.17
better than 47%
−0.06 ±0.09
better than 40%
Execution−0.24 ±0.72
better than 46%
−0.14 ±0.50
better than 55%
Points left on the table2.43 ±0.19
lower than 71%
2.34 ±0.11
lower than 84%

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.

Anastasia Myskina serving

Deuce court

1st serveNowAnastasia winsv AnastasiaMatchupOptimal
Wide55%59%65%58.5%±7.059% ▲
Body12%51%60%53.9%±11.40% ▼
T34%70%67%69.8%±8.741% ▲

Optimal v Anastasia Potapova: ±0.0±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +8.0 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowAnastasia winsv AnastasiaMatchupOptimal
Wide27%56%65%56.0%±9.733% ▲
Body21%60%60%63.6%±9.830% ▲
T52%55%64%54.8%±8.037% ▼

Optimal v Anastasia Potapova: +0.6±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving body every time would read +6.6 per 100 first serves in before the returner adjusts.

Anastasia Potapova serving

Deuce court

1st serveNowAnastasia winsv AnastasiaMatchupOptimal
Wide48%68%64%66.4%±6.363% ▲
Body20%52%61%56.3%±11.915% ▼
T32%63%66%60.9%±9.222% ▼

Optimal v Anastasia Myskina: +0.6±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.7 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowAnastasia winsv AnastasiaMatchupOptimal
Wide43%67%64%65.7%±8.637% ▼
Body17%61%56%61.1%±11.77% ▼
T41%66%68%69.4%±6.756% ▲

Optimal v Anastasia Myskina: +0.5±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +3.0 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.

Anastasia Myskina returning

1st serve to the forehand

ReturnNowTourOwnv AnastasiaValue
FH through the middle50%+4.2−1.8+1.2+3.6±2.4
FH crosscourt25%+5.3−1.9−3.0+0.4±4.2
FH down the line13%+1.5+3.4−1.9+3.1±4.5
FH slice through the middle8%−6.7+0.5±0.0−6.2±2.5
FH slice down the line2%−10.5−0.6−2.2−13.2±2.5

Lean FH through the middle: +2.2±1.7 per 100 returns v the current mix (353 returns charted)

1st serve to the backhand

ReturnNowTourOwnv AnastasiaValue
BH through the middle62%+6.0−1.4+0.8+5.4±2.5
BH crosscourt25%+7.7−2.0+1.9+7.7±3.5
BH down the line13%+2.2±0.0+1.4+3.6±4.4

Lean BH crosscourt: +1.9±3.1 per 100 returns v the current mix (149 returns charted, inside the 90% margin)

2nd serve to the forehand

ReturnNowTourOwnv AnastasiaValue
FH through the middle43%−3.2−0.1+2.2−1.1±3.0
FH crosscourt42%+0.5+0.8−0.6+0.7±4.4
FH down the line14%−0.6−0.7+0.2−1.0±4.8

Lean FH crosscourt: +1.0±2.9 per 100 returns v the current mix (106 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv AnastasiaValue
BH through the middle50%−2.6+0.4+1.0−1.2±2.5
BH crosscourt44%+1.5+0.4+1.5+3.4±3.4
BH down the line6%−0.5+0.7+1.8+1.9±4.2

Lean BH crosscourt: +2.4±2.3 per 100 returns v the current mix (98 returns charted)

Anastasia Potapova returning

1st serve to the forehand

ReturnNowTourOwnv AnastasiaValue
FH through the middle51%+4.2+0.7+2.7+7.5±2.6
FH crosscourt21%+5.3+2.0+1.2+8.5±4.2
FH down the line13%+1.5−0.5−0.5+0.6±4.6
FH slice through the middle9%−6.7−4.7+2.9−8.5±2.6
FH slice crosscourt4%−6.6±0.0+1.2−5.5±2.6

Lean FH crosscourt: +3.9±3.6 per 100 returns v the current mix (578 returns charted)

1st serve to the backhand

ReturnNowTourOwnv AnastasiaValue
BH through the middle49%+6.0−0.5+0.1+5.6±2.7
BH crosscourt26%+7.7+2.0+1.9+11.6±3.5
BH down the line11%+2.2−0.5+0.7+2.4±4.6
BH slice through the middle7%−6.2−1.9+2.0−6.1±2.5
BH slice crosscourt4%−4.2−1.8+1.6−4.4±2.7

Lean BH crosscourt: +6.4±2.9 per 100 returns v the current mix (405 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv AnastasiaValue
FH through the middle51%−3.2−0.2+0.3−3.1±3.1
FH crosscourt39%+0.5−0.2−1.3−1.0±4.3
FH down the line10%−0.6−3.4+3.3−0.7±4.9

Lean FH down the line: +1.3±5.0 per 100 returns v the current mix (162 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv AnastasiaValue
BH through the middle47%−2.6±0.0+1.4−1.2±2.7
BH crosscourt37%+1.5−2.4+0.5−0.4±3.6
BH down the line16%−0.5−1.3−0.1−2.0±5.2

Lean BH crosscourt: +0.6±2.7 per 100 returns v the current mix (221 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 hard. Each player's hard record is shrunk toward their all-surface one, so a thin sample on it moves the numbers only a little.

Anastasia Myskina

Favour

ShotEdgeOwnTheirs
FH to their forehand · return +1+4.7±4.4+2.3+2.4
BH to their forehand · return +1+2.4±6.9+2.7−0.3
BH to the middle · rally+2.2±2.2+0.2+2.0
BH to their backhand · return+2.0±4.2−0.2+2.2
BH to their backhand · return +1+1.8±4.2−3.2+5.0
FH to the middle · rally+1.8±2.5+1.9−0.2

Avoid

ShotEdgeOwnTheirs
FH to their backhand · serve +1−4.9±5.2−2.3−2.5
BH to their forehand · rally−3.8±4.7−6.0+2.3
FH to their forehand · rally−0.8±2.7−1.9+1.1
BH to their forehand · serve +1−0.8±6.4−4.8+4.0
FH to their forehand · serve +1−0.6±4.6−1.3+0.8

Anastasia Potapova

Favour

ShotEdgeOwnTheirs
FH to their forehand · serve +1+4.7±4.3+1.3+3.4
FH to the middle · return+4.2±2.9+0.9+3.2
BH to their backhand · return +1+3.1±4.3+3.4−0.3
FH to the middle · rally+2.4±2.7+0.9+1.5
FH to their forehand · return+2.2±4.7+2.0+0.2
BH to their backhand · return+1.4±4.4+0.3+1.0

Avoid

ShotEdgeOwnTheirs
FH to their forehand · return +1−5.5±4.5−2.7−2.9
FH to their backhand · return +1−4.8±5.6−4.0−0.8
BH to their backhand · rally−2.2±2.6+0.4−2.6
FH to their backhand · serve +1−2.2±4.9+0.7−2.8
BH to their forehand · rally−1.9±4.9−1.8−0.1

Against Anastasia Potapova-like opponents

Anastasia Myskina vMatchesServe pts wonReturn pts won
All charted opponents–52.1%41.7%

Similar by tactical fingerprint: Iva Jovic, Karolina Pliskova, Anna Blinkova, Iga Swiatek, Belinda Bencic, Ekaterina Alexandrova, Sorana Cirstea, Kimberly Birrell, Varvara Gracheva, Eugenie Bouchard. When two players have rarely met, their records against these lookalikes fill the gap.