RallyIQ

Game plan

Anastasia Potapova v Linda Klimovicova

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

Forecast

Anastasia Potapova wins, best of 3 68%90%: 25%–95% · best of 5: 72%
Serve points won 63.0% / 59.4% Anastasia / Linda · tour 57.7%
Strengths only, no similarity priors 68%serve 63.0% / 59.4%

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. Both were charted enough in the last three seasons, so those carry the most weight. The result is then nudged by Anastasia Potapova's record against Linda Klimovicova'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

CareerAnastasiaLinda
Direction choice+0.15 ±0.08
better than 79%
+0.27 ±0.09
better than 92%
Shot selection−0.06 ±0.09
better than 40%
+0.47 ±0.14
better than 93%
Execution−0.14 ±0.50
better than 55%
+1.01 ±0.86
better than 92%
Points left on the table2.34 ±0.11
lower than 84%
2.13 ±0.17
lower than 97%

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 Potapova serving

Deuce court

1st serveNowAnastasia winsv LindaMatchupOptimal
Wide48%68%68%69.4%±6.863% ▲
Body20%52%54%48.9%±9.05% ▼
T32%63%68%62.9%±9.432%

Optimal v Linda Klimovicova: +0.8±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +6.1 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowAnastasia winsv LindaMatchupOptimal
Wide43%67%61%63.0%±7.742%
Body17%61%55%60.6%±9.92% ▼
T41%66%64%65.7%±8.356% ▲

Optimal v Linda Klimovicova: +0.3±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +2.0 per 100 first serves in before the returner adjusts.

Linda Klimovicova serving

Deuce court

1st serveNowLinda winsv AnastasiaMatchupOptimal
Wide45%63%65%62.7%±7.637% ▼
Body17%59%60%61.6%±10.79% ▼
T39%78%67%77.3%±7.454% ▲

Optimal v Anastasia Potapova: +0.1±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +9.1 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowLinda winsv AnastasiaMatchupOptimal
Wide53%72%65%71.8%±7.468% ▲
Body16%48%60%51.5%±11.11% ▼
T31%68%64%67.9%±8.531%

Optimal v Anastasia Potapova: +1.2±1.1 per 100 first serves (faults included) over the current mix. Serving wide every time would read +4.4 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 Potapova returning

1st serve to the forehand

ReturnNowTourOwnv LindaValue
FH through the middle51%+4.2+0.7+1.8+6.6±2.7
FH crosscourt21%+5.3+2.0−1.2+6.1±4.1
FH down the line13%+1.5−0.5−3.6−2.5±4.7
FH slice through the middle9%−6.7−4.7−0.4−11.8±2.4
FH slice crosscourt4%−6.6±0.0−0.5−7.1±2.5

Lean FH through the middle: +3.8±1.7 per 100 returns v the current mix (578 returns charted)

1st serve to the backhand

ReturnNowTourOwnv LindaValue
BH through the middle49%+6.0−0.5+0.7+6.2±2.7
BH crosscourt26%+7.7+2.0+3.2+12.9±3.6
BH down the line11%+2.2−0.5−4.4−2.6±4.6
BH slice through the middle7%−6.2−1.9−0.9−9.0±2.4
BH slice crosscourt4%−4.2−1.8−1.2−7.2±2.7

Lean BH crosscourt: +7.9±3.0 per 100 returns v the current mix (405 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv LindaValue
FH through the middle51%−3.2−0.2−2.3−5.6±3.0
FH crosscourt39%+0.5−0.2+2.5+2.9±4.4
FH down the line10%−0.6−3.4−0.4−4.3±4.9

Lean FH crosscourt: +5.1±3.2 per 100 returns v the current mix (162 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv LindaValue
BH through the middle47%−2.6±0.0−2.0−4.6±2.6
BH crosscourt37%+1.5−2.4−0.4−1.3±3.6
BH down the line16%−0.5−1.3−2.9−4.7±5.2

Lean BH crosscourt: +2.1±2.7 per 100 returns v the current mix (221 returns charted, inside the 90% margin)

Linda Klimovicova returning

1st serve to the forehand

ReturnNowTourOwnv AnastasiaValue
FH through the middle43%+4.2+1.1+1.2+6.4±2.6
FH crosscourt25%+5.3+1.6−3.0+3.8±4.3
FH down the line17%+1.5+1.0−1.9+0.7±4.4
FH slice through the middle10%−6.7+0.8±0.0−6.0±2.4
FH slice crosscourt6%−6.6+0.5+1.4−4.7±2.5

Lean FH through the middle: +3.5±2.0 per 100 returns v the current mix (215 returns charted)

1st serve to the backhand

ReturnNowTourOwnv AnastasiaValue
BH through the middle43%+6.0+1.8+0.8+8.6±2.5
BH crosscourt38%+7.7+2.8+1.9+12.5±3.4
BH down the line7%+2.2+0.9+1.4+4.5±4.2
BH slice crosscourt7%−4.2−0.4−1.1−5.6±2.6
BH slice through the middle4%−6.2±0.0−0.8−7.1±2.2

Lean BH crosscourt: +4.3±2.4 per 100 returns v the current mix (195 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv AnastasiaValue
BH crosscourt53%+1.5+1.9+1.5+4.9±3.4
BH through the middle35%−2.6−0.5+1.0−2.1±2.5
FH inside-in6%+0.7+1.5−0.6+1.7±3.9
BH down the line5%−0.5−0.3+1.8+1.0±4.1

Lean BH crosscourt: +2.9±1.8 per 100 returns v the current mix (94 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.

Anastasia Potapova

Favour

ShotEdgeOwnTheirs
FH to their backhand · rally+9.4±5.2−0.1+9.5
BH to their backhand · rally+7.9±4.6+4.5+3.4
FH to their backhand · serve +1+6.7±5.2+0.3+6.4
BH to their forehand · serve +1+6.4±6.3+2.8+3.6
FH to their forehand · rally+5.3±4.7+3.4+1.9
FH to their forehand · serve +1+5.3±5.4+1.8+3.5

Avoid

ShotEdgeOwnTheirs
FH to their backhand · return−7.6±6.0−5.6−2.0
BH to their forehand · return−6.8±5.4−1.4−5.4
BH to their forehand · rally−4.5±5.9−2.0−2.5
BH to the middle · return−3.5±3.6−1.1−2.4
BH to the middle · serve +1−1.4±3.7+0.1−1.5

Linda Klimovicova

Favour

ShotEdgeOwnTheirs
FH to their backhand · return+8.4±6.2+6.1+2.3
FH to their forehand · return +1+5.8±5.3+3.0+2.8
BH to their backhand · return +1+4.8±4.7+3.2+1.6
FH to the middle · rally+3.7±3.6+2.9+0.8
BH to the middle · return +1+3.6±3.1+0.8+2.8
BH to their backhand · rally+3.2±4.5+1.9+1.4

Avoid

ShotEdgeOwnTheirs
FH to their backhand · serve +1−2.4±4.9+0.2−2.6
BH to the middle · serve +1−1.5±3.5+0.6−2.1
BH to the middle · return−1.4±3.6+1.6−3.0
BH to their backhand · return±0.0±4.8−0.7+0.7
FH to their forehand · return+0.9±5.9+5.3−4.4

Against Linda Klimovicova-like opponents

Anastasia Potapova vMatchesServe pts wonReturn pts won
All charted opponents–54.7%42.2%

Similar by tactical fingerprint: Anna Blinkova, Ekaterina Alexandrova, Magda Linette, Sorana Cirstea, Anastasija Sevastova, Anhelina Kalinina, Anett Kontaveit, Elena Vesnina, Flavia Pennetta. When two players have rarely met, their records against these lookalikes fill the gap.