RallyIQ

Game plan

Evgeniya Rodina v Sara Sorribes Tormo

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

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.

Evgeniya Rodina serving

Deuce court

1st serveNowEvgeniya winsv SaraMatchupOptimal
Wide39%59%62%55.1%±11.339%
Body53%60%51%53.0%±10.338% ▼
T8%67%60%59.1%±15.123% ▲

Optimal v Sara Sorribes Tormo: +1.0±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +4.8 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowEvgeniya winsv SaraMatchupOptimal
Wide8%64%60%58.4%±14.923% ▲
Body46%52%55%50.8%±10.543% ▼
T45%59%57%50.9%±10.934% ▼

Optimal v Sara Sorribes Tormo: +0.5±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +7.0 per 100 first serves in before the returner adjusts.

Sara Sorribes Tormo serving

Deuce court

1st serveNowSara winsv EvgeniyaMatchupOptimal
Wide44%61%68%63.2%±11.659% ▲
Body41%51%57%50.6%±13.526% ▼
T15%59%62%52.4%±14.015%

Optimal v Evgeniya Rodina: +1.0±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +6.7 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowSara winsv EvgeniyaMatchupOptimal
Wide24%58%66%58.3%±12.437% ▲
Body52%53%59%55.8%±13.737% ▼
T24%54%66%55.4%±12.626% ▲

Optimal v Evgeniya Rodina: +0.6±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +2.0 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.

Evgeniya Rodina returning

1st serve to the forehand

ReturnNowTourOwnv SaraValue
FH through the middle57%+4.2−0.7+1.5+5.0±2.4
FH crosscourt31%+5.3+0.1+3.5+8.9±3.6
FH down the line12%+1.5−0.7+2.4+3.3±3.2

Lean FH through the middle: −1.0±1.6 per 100 returns v the current mix (42 returns charted, inside the 90% margin)

Sara Sorribes Tormo returning

1st serve to the forehand

ReturnNowTourOwnv EvgeniyaValue
FH through the middle55%+4.2+3.8−0.3+7.7±2.8
FH down the line19%+1.5+2.0−0.8+2.7±4.5
FH crosscourt14%+5.3+3.1−0.1+8.3±4.3
FH slice through the middle8%−6.7+0.1±0.0−6.6±1.8
FH slice crosscourt4%−6.6+0.1±0.0−6.6±1.8

Lean FH crosscourt: +3.3±4.1 per 100 returns v the current mix (518 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv EvgeniyaValue
BH through the middle49%+6.0+2.4+1.4+9.8±2.6
BH crosscourt22%+7.7+4.0−0.3+11.5±3.2
BH down the line12%+2.2+3.2±0.0+5.4±4.3
BH slice through the middle8%−6.2+1.9±0.0−4.3±1.8
BH slice crosscourt3%−4.2−0.8±0.0−5.0±1.9

Lean BH crosscourt: +4.0±2.9 per 100 returns v the current mix (530 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv EvgeniyaValue
FH through the middle50%−3.2+1.6+1.7+0.1±2.9
FH crosscourt27%+0.5±0.0+2.3+2.8±4.0
FH down the line23%−0.6+1.9−0.5+0.8±4.3

Lean FH crosscourt: +1.8±3.4 per 100 returns v the current mix (113 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv EvgeniyaValue
FH inside-out34%+1.4+0.7−0.5+1.6±3.6
FH through the middle31%−2.7+2.4+1.7+1.4±2.4
BH through the middle18%−2.6+1.7+0.7−0.2±2.4
BH crosscourt8%+1.5−0.1±0.0+1.4±2.4
BH down the line3%−0.5−1.9±0.0−2.4±2.7

Lean FH inside-out: +0.8±2.5 per 100 returns v the current mix (261 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 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.

Evgeniya Rodina

Favour

ShotEdgeOwnTheirs
FH to their backhand · rally+6.2±4.4+5.8+0.4
BH to the middle · rally+3.3±2.7+3.9−0.6
BH to their backhand · rally+1.7±3.4+2.7−0.9
FH to the middle · rally+1.5±2.9+1.5−0.1
BH to their forehand · rally+1.1±5.7+0.8+0.3
FH to their forehand · rally+0.3±3.3+2.3−2.0

Avoid

ShotEdgeOwnTheirs
FH to their forehand · rally+0.3±3.3+2.3−2.0
BH to their forehand · rally+1.1±5.7+0.8+0.3
FH to the middle · rally+1.5±2.9+1.5−0.1
BH to their backhand · rally+1.7±3.4+2.7−0.9
BH to the middle · rally+3.3±2.7+3.9−0.6

Sara Sorribes Tormo

Favour

ShotEdgeOwnTheirs
BH to the middle · rally+6.9±2.9+2.4+4.5
FH to the middle · return+6.5±3.4+5.0+1.6
BH to their backhand · rally+6.3±4.0+3.2+3.1
FH to the middle · rally+6.3±2.7+4.5+1.8
FH to their forehand · rally+5.9±3.5+3.1+2.8
FH to their backhand · rally+1.6±4.3+3.3−1.7

Avoid

ShotEdgeOwnTheirs
FH to their backhand · rally+1.6±4.3+3.3−1.7
FH to their forehand · rally+5.9±3.5+3.1+2.8
FH to the middle · rally+6.3±2.7+4.5+1.8
BH to their backhand · rally+6.3±4.0+3.2+3.1
FH to the middle · return+6.5±3.4+5.0+1.6

Against Sara Sorribes Tormo-like opponents

Evgeniya Rodina vMatchesServe pts wonReturn pts won
All charted opponents–51.6%43.4%
Players most similar to Sara Sorribes Tormo2 54.2%44.3%

Similar by tactical fingerprint: Tamara Zidansek, Marie Bouzkova, Viktorija Golubic, Daria Kasatkina, Katie Volynets, Sara Errani, Alize Cornet, Madison Brengle, Saisai Zheng, Jennifer Capriati. When two players have rarely met, their records against these lookalikes fill the gap.