RallyIQ

Game plan

Linda Klimovicova v Anna Blinkova

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

Forecast

Linda Klimovicova wins, best of 3 63%90%: 18%–94% · best of 5: 66%
Serve points won 60.1% / 57.5% Linda / Anna · tour 55.1%
Strengths only, no similarity priors 62%serve 60.0% / 57.6%

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 Linda Klimovicova's record against Anna Blinkova's tactical lookalikes and in their charted head-to-heads (lookalikes: +1.0 on serve, +1.7 on return vs expectation (213 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

CareerLindaAnna
Direction choice+0.27 ±0.09
better than 92%
+0.06 ±0.09
better than 66%
Shot selection+0.47 ±0.14
better than 93%
+0.20 ±0.13
better than 65%
Execution+1.01 ±0.86
better than 92%
−0.14 ±0.57
better than 55%
Points left on the table2.13 ±0.17
lower than 97%
2.26 ±0.12
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.

Linda Klimovicova serving

Deuce court

1st serveNowLinda winsv AnnaMatchupOptimal
Wide45%63%71%69.1%±7.860% ▲
Body17%59%56%57.4%±11.71% ▼
T39%78%70%79.2%±7.739%

Optimal v Anna Blinkova: +0.9±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +8.1 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowLinda winsv AnnaMatchupOptimal
Wide53%72%67%73.0%±7.757% ▲
Body16%48%60%52.0%±12.51% ▼
T31%68%65%68.7%±9.342% ▲

Optimal v Anna Blinkova: +1.1±1.1 per 100 first serves (faults included) over the current mix. Serving wide every time would read +4.6 per 100 first serves in before the returner adjusts.

Anna Blinkova serving

Deuce court

1st serveNowAnna winsv LindaMatchupOptimal
Wide36%63%68%64.5%±8.437%
Body32%57%54%53.7%±9.217% ▼
T31%65%68%64.5%±10.046% ▲

Optimal v Linda Klimovicova: +0.8±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +3.5 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowAnna winsv LindaMatchupOptimal
Wide39%62%61%56.9%±9.039%
Body27%57%55%56.3%±10.212% ▼
T33%63%64%62.6%±9.749% ▲

Optimal v Linda Klimovicova: +0.3±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +3.9 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.

Linda Klimovicova returning

1st serve to the forehand

ReturnNowTourOwnv AnnaValue
FH through the middle43%+4.2+1.1−1.7+3.5±2.8
FH crosscourt25%+5.3+1.6+0.1+7.0±4.3
FH down the line17%+1.5+1.0−2.0+0.5±4.7
FH slice through the middle10%−6.7+0.8−0.3−6.3±2.4
FH slice crosscourt6%−6.6+0.5−1.6−7.7±2.1

Lean FH crosscourt: +4.7±3.6 per 100 returns v the current mix (215 returns charted)

1st serve to the backhand

ReturnNowTourOwnv AnnaValue
BH through the middle43%+6.0+1.8+0.3+8.1±2.7
BH crosscourt38%+7.7+2.8+0.2+10.8±3.5
BH down the line7%+2.2+0.9−3.6−0.5±4.3
BH slice crosscourt7%−4.2−0.4+0.5−4.1±2.3
BH slice through the middle4%−6.2±0.0−0.3−6.5±1.9

Lean BH crosscourt: +3.7±2.5 per 100 returns v the current mix (195 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv AnnaValue
BH crosscourt53%+1.5+1.9+0.1+3.5±3.6
BH through the middle35%−2.6−0.5−0.2−3.3±2.8
FH inside-in6%+0.7+1.5+1.8+4.1±3.9
BH down the line5%−0.5−0.3+1.1+0.3±4.3

Lean BH crosscourt: +2.5±2.0 per 100 returns v the current mix (94 returns charted)

Anna Blinkova returning

1st serve to the forehand

ReturnNowTourOwnv LindaValue
FH through the middle46%+4.2+0.4+1.8+6.4±2.9
FH crosscourt31%+5.3−0.2−1.2+3.9±4.2
FH down the line11%+1.5−1.9−3.6−3.9±4.7
FH slice through the middle9%−6.7−1.4−0.4−8.5±2.4
FH slice crosscourt3%−6.6−0.2−0.5−7.3±2.2

Lean FH through the middle: +3.6±2.1 per 100 returns v the current mix (286 returns charted)

1st serve to the backhand

ReturnNowTourOwnv LindaValue
BH through the middle41%+6.0−0.5+0.7+6.3±2.9
BH crosscourt38%+7.7+0.9+3.2+11.8±3.6
BH down the line10%+2.2−0.3−4.4−2.5±4.4
BH slice crosscourt5%−4.2−0.8−1.2−6.2±2.6
BH slice through the middle3%−6.2+0.5−0.9−6.6±2.1

Lean BH crosscourt: +5.8±2.6 per 100 returns v the current mix (232 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv LindaValue
FH crosscourt49%+0.5−0.1+2.5+3.0±4.4
FH through the middle41%−3.2−1.6−2.3−7.0±3.0
FH down the line10%−0.6−1.9−0.4−2.9±4.5

Lean FH crosscourt: +4.6±2.6 per 100 returns v the current mix (81 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv LindaValue
BH through the middle43%−2.6−1.0−2.0−5.5±2.7
BH crosscourt41%+1.5−0.9−0.4+0.1±3.7
BH down the line16%−0.5+7.2−2.9+3.7±5.1

Lean BH down the line: +5.4±4.7 per 100 returns v the current mix (164 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 clay. Each player's clay record is shrunk toward their all-surface one, so a thin sample on it moves the numbers only a little.

Linda Klimovicova

Favour

ShotEdgeOwnTheirs
BH to their backhand · serve +1+10.6±4.9+4.7+5.9
FH to their forehand · rally+8.2±4.7+1.8+6.4
BH to their backhand · return +1+5.3±4.5+3.3+1.9
BH to their forehand · serve +1+4.4±5.8−1.7+6.1
BH to their forehand · return +1+4.2±5.9+3.3+0.9
BH to their backhand · return+3.7±3.9+2.2+1.6

Avoid

ShotEdgeOwnTheirs
BH to the middle · serve +1−1.0±3.1+2.3−3.3
FH to their backhand · serve +1−1.0±4.9+0.2−1.2
FH to their backhand · return−0.4±5.2−0.3−0.2
FH to their backhand · return +1−0.3±5.1−0.7+0.4
FH to the middle · return−0.1±3.1+1.3−1.5

Anna Blinkova

Favour

ShotEdgeOwnTheirs
FH to their backhand · rally+7.3±5.1−1.0+8.4
FH to their backhand · return +1+5.4±5.3+0.1+5.3
FH to their forehand · rally+3.3±4.7+0.3+3.0
FH to the middle · serve +1+3.1±3.3+2.1+1.0
BH to their backhand · rally+2.9±4.1−0.1+3.0
BH to their forehand · rally+2.8±6.2+5.5−2.7

Avoid

ShotEdgeOwnTheirs
BH to their backhand · serve +1−3.5±4.2−4.0+0.5
FH to the middle · return−3.3±3.6−1.6−1.8
BH to their forehand · return−2.7±5.5+2.7−5.4
BH to the middle · return−1.6±3.3+0.4−2.1
BH to the middle · serve +1−1.6±3.1−0.6−1.0

Against Anna Blinkova-like opponents

Linda Klimovicova vMatchesServe pts wonReturn pts won
All charted opponents–60.2%42.6%
Players most similar to Anna Blinkova1 57.7%42.2%

Similar by tactical fingerprint: Iva Jovic, Anastasia Potapova, Alexandra Eala, Iga Swiatek, Kimberly Birrell, Emma Navarro, Emma Raducanu, Varvara Gracheva, Yue Yuan, Eugenie Bouchard. When two players have rarely met, their records against these lookalikes fill the gap.