RallyIQ

Game plan

Sara Sorribes Tormo v Astra Sharma

Every number combines what Sara Sorribes Tormo does well with what Astra Sharma allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Sara Sorribes Tormo wins, best of 3 21%90%: 4%–59% · best of 5: 16%
Serve points won 52.0% / 58.0% Sara / Astra · tour 58.1%
Strengths only, no similarity priors 21%serve 52.0% / 58.0%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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

CareerSaraAstra
Direction choice−0.48 ±0.10
better than 0%
−0.06 ±0.08
better than 42%
Shot selection−0.84 ±0.19
better than 5%
+0.12 ±0.44
better than 57%
Execution+2.10 ±0.36
better than 99%
−1.59 ±1.43
better than 9%

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.

Sara Sorribes Tormo serving

Deuce court

1st serveNowSara winsv AstraMatchupOptimal
Wide44%61%65%59.4%±9.759% ▲
Body41%51%55%49.2%±11.226% ▼
T15%59%71%61.8%±11.315%

Optimal v Astra Sharma: +0.6±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +6.2 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowSara winsv AstraMatchupOptimal
Wide24%58%57%49.0%±10.640% ▲
Body52%53%57%53.9%±10.437% ▼
T24%54%62%51.9%±11.223%

Optimal v Astra Sharma: +0.3±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving body every time would read +1.7 per 100 first serves in before the returner adjusts.

Astra Sharma serving

Deuce court

1st serveNowAstra winsv SaraMatchupOptimal
Wide47%61%62%57.1%±9.547%
Body18%63%51%56.5%±11.43% ▼
T35%74%60%67.5%±9.850% ▲

Optimal v Sara Sorribes Tormo: +1.1±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +6.9 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowAstra winsv SaraMatchupOptimal
Wide54%69%60%63.6%±9.069% ▲
Body15%52%55%50.1%±12.50% ▼
T31%66%57%58.5%±10.931%

Optimal v Sara Sorribes Tormo: +0.5±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.5 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.

Sara Sorribes Tormo returning

1st serve to the forehand

ReturnNowTourOwnv AstraValue
FH through the middle55%+4.2+3.8+0.4+8.4±2.8
FH down the line19%+1.5+2.0−1.8+1.8±4.3
FH crosscourt14%+5.3+3.1−0.3+8.1±4.3
FH slice through the middle8%−6.7+0.1−0.8−7.4±2.3
FH slice crosscourt4%−6.6+0.1−1.3−7.9±2.3

Lean FH through the middle: +3.3±1.6 per 100 returns v the current mix (518 returns charted)

1st serve to the backhand

ReturnNowTourOwnv AstraValue
BH through the middle49%+6.0+2.4−1.6+6.9±2.6
BH crosscourt22%+7.7+4.0+0.1+11.8±3.5
BH down the line12%+2.2+3.2−0.7+4.7±4.4
BH slice through the middle8%−6.2+1.9−0.9−5.3±2.2
BH slice crosscourt3%−4.2−0.8±0.0−5.0±1.9

Lean BH crosscourt: +5.9±3.1 per 100 returns v the current mix (530 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv AstraValue
FH through the middle50%−3.2+1.6−1.4−2.9±3.1
FH crosscourt27%+0.5±0.0+0.8+1.3±4.3
FH down the line23%−0.6+1.9−5.1−3.8±4.7

Lean FH crosscourt: +3.3±3.7 per 100 returns v the current mix (113 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv AstraValue
FH inside-out34%+1.4+0.7−5.1−3.0±3.9
FH through the middle31%−2.7+2.4−1.4−1.7±2.6
BH through the middle18%−2.6+1.7+2.2+1.2±2.8
BH crosscourt8%+1.5−0.1−3.2−1.8±3.4
BH down the line3%−0.5−1.9−2.4−4.9±3.9

Lean BH through the middle: +3.1±2.8 per 100 returns v the current mix (261 returns charted)

Astra Sharma returning

1st serve to the forehand

ReturnNowTourOwnv SaraValue
FH through the middle57%+4.2−0.2+1.5+5.5±2.6
FH crosscourt21%+5.3+0.6+3.5+9.5±3.7
FH down the line21%+1.5+1.1+2.4+5.1±3.9

Lean FH crosscourt: +3.2±3.4 per 100 returns v the current mix (84 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv SaraValue
BH through the middle44%+6.0−0.8+1.6+6.8±2.5
BH crosscourt23%+7.7−0.8+0.5+7.4±3.1
BH slice crosscourt11%−4.2±0.0+0.1−4.1±2.6
BH slice through the middle11%−6.2−0.6−0.1−6.9±2.1
BH slice down the line6%−12.5+1.4−0.4−11.6±2.3

Lean BH crosscourt: +4.4±2.7 per 100 returns v the current mix (93 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv SaraValue
FH through the middle27%−2.7+0.8+3.0+1.1±2.2
BH through the middle22%−2.6−0.6+1.6−1.6±2.5
BH crosscourt20%+1.5−0.2+1.0+2.2±3.2
FH inside-out20%+1.4±0.0+5.1+6.4±3.7
FH inside-in10%+0.7−1.6+0.2−0.7±3.5

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.

Sara Sorribes Tormo

Favour

ShotEdgeOwnTheirs
BH to their backhand · return+4.5±4.2+6.2−1.7
BH to the middle · return+4.3±3.2+4.4−0.1
FH to the middle · return+3.9±3.3+4.8−0.9
FH to their backhand · rally+3.6±4.1+4.6−1.0
BH to the middle · rally+3.1±2.8+2.5+0.6
FH to the middle · rally+2.4±2.8+3.7−1.3

Avoid

ShotEdgeOwnTheirs
FH to their backhand · serve +1−0.9±4.9+2.3−3.2
FH to their forehand · rally+0.3±4.0+3.3−3.1
BH to their backhand · serve +1+0.6±3.8+2.2−1.6
BH to their backhand · rally+2.0±3.9+5.1−3.1
FH to the middle · rally+2.4±2.8+3.7−1.3

Astra Sharma

Favour

ShotEdgeOwnTheirs
FH to their backhand · return+7.5±5.1+0.8+6.7
BH to their backhand · rally+4.0±3.8−0.9+4.9
BH to the middle · return+3.4±3.2−0.8+4.3
FH to their backhand · rally+1.8±3.8−0.6+2.4
FH to their forehand · serve +1+1.5±4.7−1.3+2.8
FH to the middle · return+1.4±3.3−1.1+2.5

Avoid

ShotEdgeOwnTheirs
FH to the middle · serve +1−2.5±3.1−2.4−0.1
FH to their backhand · serve +1−1.6±4.8−3.2+1.7
FH to their forehand · return−1.4±4.8−3.0+1.6
FH to their forehand · rally−1.2±3.8−1.2±0.0
FH to the middle · rally+1.1±3.0−0.7+1.8

Against Astra Sharma-like opponents

Sara Sorribes Tormo vMatchesServe pts wonReturn pts won
All charted opponents–50.6%48.1%