RallyIQ

Game plan

Rebecca Sramkova v Clara Tauson

Every number combines what Rebecca Sramkova does well with what Clara Tauson allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Rebecca Sramkova wins, best of 3 16%90%: 5%–36% · best of 5: 10%
Serve points won 54.9% / 62.7% Rebecca / Clara · tour 56.4%
Strengths only, no similarity priors 16%serve 54.9% / 62.7%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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

CareerRebeccaClara
Direction choice+0.13 ±0.10
better than 78%
+0.21 ±0.06
better than 88%
Shot selection+0.36 ±0.16
better than 85%
−0.45 ±0.14
better than 12%
Execution+0.19 ±0.92
better than 69%
+0.95 ±0.46
better than 90%
Points left on the table2.21 ±0.15
lower than 93%
2.46 ±0.09
lower than 68%

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.

Rebecca Sramkova serving

Deuce court

1st serveNowRebecca winsv ClaraMatchupOptimal
Wide40%65%68%67.4%±7.440%
Body21%56%55%53.6%±10.66% ▼
T39%67%67%66.1%±8.654% ▲

Optimal v Clara Tauson: +1.4±1.1 per 100 first serves (faults included) over the current mix. Serving wide every time would read +3.3 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowRebecca winsv ClaraMatchupOptimal
Wide33%61%66%62.0%±8.645% ▲
Body15%49%56%48.4%±11.60% ▼
T51%69%67%70.8%±7.355% ▲

Optimal v Clara Tauson: +1.0±1.0 per 100 first serves (faults included) over the current mix. Serving T every time would read +6.3 per 100 first serves in before the returner adjusts.

Clara Tauson serving

Deuce court

1st serveNowClara winsv RebeccaMatchupOptimal
Wide42%72%69%75.0%±7.158% ▲
Body13%56%57%55.8%±10.20% ▼
T44%73%71%76.3%±6.542% ▼

Optimal v Rebecca Sramkova: +1.5±1.0 per 100 first serves (faults included) over the current mix. Serving T every time would read +3.3 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowClara winsv RebeccaMatchupOptimal
Wide40%73%66%73.2%±7.555% ▲
Body10%57%57%57.9%±11.10% ▼
T50%66%58%58.9%±8.445% ▼

Optimal v Rebecca Sramkova: +0.7±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +8.7 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.

Rebecca Sramkova returning

1st serve to the forehand

ReturnNowTourOwnv ClaraValue
FH through the middle44%+4.2+0.2−0.9+3.4±2.7
FH down the line31%+1.5+3.0−1.7+2.9±4.4
FH crosscourt22%+5.3+1.0−3.1+3.2±4.1
FH slice through the middle3%−6.7−0.6−0.4−7.7±1.9

Lean FH through the middle: +0.6±2.3 per 100 returns v the current mix (144 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv ClaraValue
BH through the middle55%+6.0−0.3−0.7+5.0±2.5
BH crosscourt24%+7.7−3.0±0.0+4.7±3.4
BH down the line16%+2.2−0.7−3.7−2.3±4.5
BH slice through the middle5%−6.2+0.6−0.8−6.4±2.2

Lean BH through the middle: +1.8±1.6 per 100 returns v the current mix (159 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv ClaraValue
FH down the line43%−0.6−0.5−3.6−4.7±4.8
FH crosscourt33%+0.5−0.7−0.6−0.7±4.0
FH through the middle24%−3.2−2.2+1.1−4.3±2.5

Lean FH down the line: −1.4±3.1 per 100 returns v the current mix (42 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv ClaraValue
BH through the middle36%−2.6−0.3+1.1−1.8±2.4
BH down the line34%−0.5−0.2+3.9+3.1±5.0
BH crosscourt30%+1.5−1.5+2.4+2.4±3.1

Lean BH down the line: +2.0±3.6 per 100 returns v the current mix (92 returns charted, inside the 90% margin)

Clara Tauson returning

1st serve to the forehand

ReturnNowTourOwnv RebeccaValue
FH through the middle44%+4.2−1.6+2.2+4.7±2.7
FH crosscourt24%+5.3−0.2+1.0+6.1±4.1
FH slice through the middle15%−6.7−1.1−2.3−10.1±2.4
FH down the line9%+1.5−1.7−0.7−0.9±4.7
FH slice crosscourt6%−6.6+0.5+1.0−5.1±2.4

Lean FH crosscourt: +4.9±3.4 per 100 returns v the current mix (658 returns charted)

1st serve to the backhand

ReturnNowTourOwnv RebeccaValue
BH through the middle41%+6.0+1.9+1.0+8.9±2.5
BH crosscourt24%+7.7+1.0+3.2+12.0±3.4
BH slice through the middle16%−6.2+0.8+0.4−5.0±2.0
BH down the line9%+2.2+3.0−0.9+4.3±4.5
BH slice crosscourt8%−4.2−0.7±0.0−4.8±2.2

Lean BH crosscourt: +6.6±2.8 per 100 returns v the current mix (723 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv RebeccaValue
FH through the middle42%−3.2−0.1+2.0−1.2±3.1
FH crosscourt37%+0.5+2.5+2.4+5.5±4.4
FH down the line16%−0.6+0.5−3.4−3.4±4.9
FH slice through the middle5%−15.2−0.4±0.0−15.6±1.2

Lean FH crosscourt: +5.2±3.2 per 100 returns v the current mix (154 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv RebeccaValue
BH crosscourt39%+1.5−1.4+1.7+1.8±3.4
BH through the middle38%−2.6−0.1+1.1−1.5±2.6
BH down the line16%−0.5+1.9−1.7−0.3±5.2
BH slice through the middle5%−11.7−0.2±0.0−11.9±1.5
BH slice crosscourt3%−7.5−2.5±0.0−9.9±1.6

Lean BH crosscourt: +2.6±2.4 per 100 returns v the current mix (386 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 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.

Rebecca Sramkova

Favour

ShotEdgeOwnTheirs
BH to their forehand · serve +1+4.7±6.5+4.8−0.1
FH to their backhand · return +1+3.4±5.8+0.3+3.1
BH to their backhand · serve +1+2.9±4.7+0.6+2.3
FH to their forehand · rally+2.5±3.2+2.5±0.0
FH to their forehand · serve +1+1.7±4.5+1.9−0.1
BH to the middle · return+0.9±2.8+2.0−1.1

Avoid

ShotEdgeOwnTheirs
BH to the middle · rally−5.1±2.8−2.4−2.7
BH to their forehand · return−4.8±5.8−5.3+0.5
BH to their forehand · rally−3.2±5.4−3.0−0.2
FH to the middle · rally−2.7±2.9+0.2−2.9
BH to their backhand · rally−2.5±3.3−1.6−0.9

Clara Tauson

Favour

ShotEdgeOwnTheirs
FH to their forehand · return+10.7±5.5+5.1+5.6
FH to their forehand · return +1+6.9±4.8+0.9+6.0
BH to their backhand · serve +1+5.9±4.6+1.3+4.7
FH to their backhand · return +1+5.6±5.8+3.1+2.5
FH to the middle · serve +1+5.1±3.6+0.6+4.5
BH to their backhand · return+4.4±4.0+1.9+2.4

Avoid

ShotEdgeOwnTheirs
BH to their backhand · rally−2.2±3.7−0.6−1.6
FH to the middle · rally−1.6±2.9−2.3+0.7
BH to their backhand · return +1−1.4±4.8+0.5−1.9
BH to their forehand · rally−1.2±5.8±0.0−1.2
BH to the middle · rally−0.7±2.8±0.0−0.7

Against Clara Tauson-like opponents

Rebecca Sramkova vMatchesServe pts wonReturn pts won
All charted opponents–57.7%42.0%

Similar by tactical fingerprint: Karolina Pliskova, Linda Noskova, Barbora Krejcikova, Viktoria Hruncakova, Anastasia Pavlyuchenkova, Sofia Kenin, Veronika Kudermetova, Anett Kontaveit, Sabine Lisicki. When two players have rarely met, their records against these lookalikes fill the gap.