RallyIQ

Game plan

Linda Klimovicova v Elise Mertens

Every number combines what Linda Klimovicova does well with what Elise Mertens 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 47%90%: 13%–83% · best of 5: 46%
Serve points won 61.0% / 61.6% Linda / Elise · tour 57.7%
Strengths only, no similarity priors 47%serve 61.0% / 61.6%

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 Elise Mertens'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

CareerLindaElise
Direction choice+0.27 ±0.09
better than 92%
+0.04 ±0.07
better than 61%
Shot selection+0.47 ±0.14
better than 93%
−0.32 ±0.13
better than 21%
Execution+1.01 ±0.86
better than 92%
+0.47 ±0.40
better than 78%
Points left on the table2.13 ±0.17
lower than 97%
2.47 ±0.09
lower than 67%

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 EliseMatchupOptimal
Wide45%63%68%65.9%±7.145%
Body17%59%63%64.3%±10.01% ▼
T39%78%69%78.5%±6.854% ▲

Optimal v Elise Mertens: +0.6±1.1 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 serveNowLinda winsv EliseMatchupOptimal
Wide53%72%63%69.5%±7.563% ▲
Body16%48%56%47.6%±10.81% ▼
T31%68%64%67.5%±8.236% ▲

Optimal v Elise Mertens: +1.1±1.0 per 100 first serves (faults included) over the current mix. Serving wide every time would read +4.1 per 100 first serves in before the returner adjusts.

Elise Mertens serving

Deuce court

1st serveNowElise winsv LindaMatchupOptimal
Wide46%67%68%68.6%±6.761% ▲
Body23%57%54%53.6%±8.58% ▼
T31%71%68%71.1%±8.131%

Optimal v Linda Klimovicova: +1.0±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +5.2 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowElise winsv LindaMatchupOptimal
Wide35%72%61%68.1%±7.336% ▲
Body23%58%55%57.6%±9.38% ▼
T42%67%64%66.8%±7.856% ▲

Optimal v Linda Klimovicova: +0.6±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide 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.

Linda Klimovicova returning

1st serve to the forehand

ReturnNowTourOwnv EliseValue
FH through the middle43%+4.2+1.1+1.3+6.6±2.6
FH crosscourt25%+5.3+1.6−0.4+6.5±4.1
FH down the line17%+1.5+1.0−0.5+2.1±4.5
FH slice through the middle10%−6.7+0.8−0.9−6.9±2.4
FH slice crosscourt6%−6.6+0.5+1.3−4.8±2.4

Lean FH through the middle: +2.7±2.0 per 100 returns v the current mix (215 returns charted)

1st serve to the backhand

ReturnNowTourOwnv EliseValue
BH through the middle43%+6.0+1.8+0.3+8.1±2.4
BH crosscourt38%+7.7+2.8−3.3+7.3±3.4
BH down the line7%+2.2+0.9−2.9+0.2±4.0
BH slice crosscourt7%−4.2−0.4−4.4−9.0±2.6
BH slice through the middle4%−6.2±0.0−1.6−7.8±2.2

Lean BH through the middle: +2.8±1.9 per 100 returns v the current mix (195 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv EliseValue
BH crosscourt53%+1.5+1.9+0.5+3.8±3.4
BH through the middle35%−2.6−0.5+1.5−1.6±2.4
FH inside-in6%+0.7+1.5+1.1+3.4±3.8
BH down the line5%−0.5−0.3−3.2−4.0±4.0

Lean BH crosscourt: +2.3±1.8 per 100 returns v the current mix (94 returns charted)

Elise Mertens returning

1st serve to the forehand

ReturnNowTourOwnv LindaValue
FH through the middle45%+4.2+2.0+1.8+7.9±2.6
FH down the line20%+1.5+3.3−3.6+1.3±4.4
FH crosscourt14%+5.3−2.2−1.2+1.8±4.1
FH slice through the middle12%−6.7−0.3−0.4−7.4±2.4
FH slice crosscourt6%−6.6−1.4−0.5−8.5±2.6

Lean FH through the middle: +5.4±1.8 per 100 returns v the current mix (749 returns charted)

1st serve to the backhand

ReturnNowTourOwnv LindaValue
BH through the middle43%+6.0+0.6+0.7+7.3±2.6
BH crosscourt25%+7.7+1.7+3.2+12.7±3.5
BH down the line12%+2.2+5.0−4.4+2.9±4.6
BH slice through the middle11%−6.2+1.0−0.9−6.1±2.4
BH slice crosscourt5%−4.2−1.7−1.2−7.1±2.9

Lean BH crosscourt: +7.4±2.9 per 100 returns v the current mix (530 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv LindaValue
FH through the middle43%−3.2−1.6−2.3−7.0±3.0
FH crosscourt30%+0.5−0.5+2.5+2.6±4.5
FH down the line24%−0.6−1.8−0.4−2.8±5.3
FH slice through the middle4%−15.2+0.5±0.0−14.7±1.2

Lean FH crosscourt: +6.0±3.6 per 100 returns v the current mix (200 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv LindaValue
BH through the middle43%−2.6−0.5−2.0−5.0±2.6
BH crosscourt40%+1.5−0.4−0.4+0.7±3.5
BH down the line16%−0.5+4.3−2.9+0.8±5.2

Lean BH down the line: +2.6±4.7 per 100 returns v the current mix (290 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 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.

Linda Klimovicova

Favour

ShotEdgeOwnTheirs
BH to their forehand · rally+6.4±4.9+2.0+4.4
FH to their backhand · serve +1+5.4±4.9+0.2+5.1
FH to their forehand · return +1+4.9±5.3+3.0+1.9
FH to their backhand · return+4.7±6.1+6.1−1.4
FH to their forehand · rally+4.7±4.5+1.4+3.3
BH to their backhand · serve +1+4.0±4.9+2.3+1.7

Avoid

ShotEdgeOwnTheirs
FH to their backhand · rally−4.6±5.3+0.8−5.3
BH to their backhand · return−4.2±4.9−0.7−3.5
BH to their forehand · return−1.9±5.2+1.2−3.1
BH to their forehand · serve +1+0.1±5.6−1.7+1.8
FH to their backhand · return +1+1.0±5.2−0.7+1.7

Elise Mertens

Favour

ShotEdgeOwnTheirs
FH to their backhand · rally+13.6±5.1+4.1+9.5
BH to their backhand · rally+7.0±4.5+3.6+3.4
FH to their backhand · serve +1+6.5±5.4+0.1+6.4
BH to their forehand · serve +1+6.3±6.4+2.7+3.6
FH to their backhand · return +1+5.2±5.1±0.0+5.3
FH to their forehand · rally+5.2±4.6+3.3+1.9

Avoid

ShotEdgeOwnTheirs
BH to the middle · return−2.3±3.6+0.1−2.4
FH to their backhand · return−1.9±5.7±0.0−2.0
BH to their forehand · return−0.7±5.3+4.7−5.4
FH to the middle · rally±0.0±3.4+1.2−1.1
BH to the middle · serve +1+0.1±3.7+1.7−1.5

Against Elise Mertens-like opponents

Linda Klimovicova vMatchesServe pts wonReturn pts won
All charted opponents–60.2%42.6%

Similar by tactical fingerprint: Coco Gauff, Mirra Andreeva, Anastasia Potapova, Karolina Pliskova, Belinda Bencic, Sorana Cirstea, Victoria Azarenka, Shelby Rogers, Christina Mchale, Elena Dementieva. When two players have rarely met, their records against these lookalikes fill the gap.