RallyIQ

Game plan

Veronika Erjavec v Anna Karolina Schmiedlova

Every number combines what Veronika Erjavec does well with what Anna Karolina Schmiedlova 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.

Veronika Erjavec serving

Deuce court

1st serveNowVeronika winsv AnnaMatchupOptimal
Wide44%65%68%67.0%±12.359% ▲
Body14%58%56%56.9%±15.30% ▼
T42%60%73%66.0%±12.541% ▼

Optimal v Anna Karolina Schmiedlova: +0.5±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +1.8 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowVeronika winsv AnnaMatchupOptimal
Wide42%71%70%75.0%±12.158% ▲
Body18%53%53%50.3%±14.53% ▼
T40%67%61%62.9%±13.239%

Optimal v Anna Karolina Schmiedlova: +1.0±1.3 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +9.2 per 100 first serves in before the returner adjusts.

Anna Karolina Schmiedlova serving

Deuce court

1st serveNowAnna winsv VeronikaMatchupOptimal
Wide36%67%74%74.7%±11.037%
Body27%53%54%49.1%±14.412% ▼
T36%69%70%71.9%±11.351% ▲

Optimal v Veronika Erjavec: +1.4±1.3 per 100 first serves (faults included) over the current mix. Serving wide every time would read +8.0 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowAnna winsv VeronikaMatchupOptimal
Wide24%61%70%65.3%±13.424%
Body26%56%51%50.4%±15.811% ▼
T50%65%71%71.2%±11.865% ▲

Optimal v Veronika Erjavec: +0.7±1.3 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.

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.

Veronika Erjavec returning

1st serve to the forehand

ReturnNowTourOwnv AnnaValue
FH crosscourt36%+5.3−2.8+2.9+5.5±4.1
FH down the line33%+1.5−0.2−0.6+0.7±4.3
FH through the middle31%+4.2−2.5+1.4+3.1±2.8

Lean FH crosscourt: +2.3±3.1 per 100 returns v the current mix (42 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv AnnaValue
BH through the middle34%+6.0+0.2−0.7+5.5±2.6
BH crosscourt19%+7.7+0.4−0.4+7.7±3.2
BH down the line19%+2.2+1.2+0.1+3.4±3.9
BH slice crosscourt17%−4.2+0.1±0.0−4.1±1.5
BH slice through the middle11%−6.2−0.3+0.1−6.5±1.6

Lean BH through the middle: +2.9±2.0 per 100 returns v the current mix (47 returns charted)

Anna Karolina Schmiedlova returning

1st serve to the forehand

ReturnNowTourOwnv VeronikaValue
FH through the middle48%+4.2+1.9+2.4+8.5±3.1
FH crosscourt19%+5.3+1.2±0.0+6.5±3.8
FH down the line16%+1.5−0.3+0.3+1.6±4.0
FH slice through the middle11%−6.7−0.9−1.5−9.1±1.9
BH inside-in3%+7.3+0.7−0.9+7.1±2.9

Lean FH through the middle: +4.1±1.9 per 100 returns v the current mix (161 returns charted)

1st serve to the backhand

ReturnNowTourOwnv VeronikaValue
BH through the middle54%+6.0+0.9+1.6+8.6±2.9
BH crosscourt26%+7.7−2.9−0.9+3.9±3.5
BH down the line11%+2.2−1.7±0.0+0.5±2.6
BH slice through the middle9%−6.2−0.6±0.0−6.8±1.3

Lean BH through the middle: +3.5±1.7 per 100 returns v the current mix (100 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv VeronikaValue
BH crosscourt48%+1.5+0.2+0.4+2.0±3.6
BH through the middle43%−2.6−0.6−1.0−4.2±2.7
BH down the line8%−0.5−1.4+0.1−1.9±3.4

Lean BH crosscourt: +3.0±2.2 per 100 returns v the current mix (60 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.

Veronika Erjavec

Favour

ShotEdgeOwnTheirs
FH to their backhand · rally+5.4±4.9+2.1+3.4
BH to their backhand · rally+4.2±4.4±0.0+4.2
BH to the middle · rally+3.6±3.5+1.7+2.0
FH to their forehand · rally+1.9±5.0+1.5+0.3
BH to their forehand · rally−6.0±6.5−2.9−3.2

Avoid

ShotEdgeOwnTheirs
BH to their forehand · rally−6.0±6.5−2.9−3.2
FH to their forehand · rally+1.9±5.0+1.5+0.3
BH to the middle · rally+3.6±3.5+1.7+2.0
BH to their backhand · rally+4.2±4.4±0.0+4.2
FH to their backhand · rally+5.4±4.9+2.1+3.4

Anna Karolina Schmiedlova

Favour

ShotEdgeOwnTheirs
BH to the middle · rally+4.9±3.2+2.9+2.0
BH to their backhand · rally+3.8±4.3+0.9+2.9
FH to their forehand · rally+0.5±4.8+0.4+0.1
BH to the middle · return−0.5±4.0+0.2−0.6
BH to their forehand · rally−1.9±6.6−0.6−1.3
FH to their backhand · rally−3.5±5.6−1.0−2.5

Avoid

ShotEdgeOwnTheirs
FH to their backhand · rally−3.5±5.6−1.0−2.5
BH to their forehand · rally−1.9±6.6−0.6−1.3
BH to the middle · return−0.5±4.0+0.2−0.6
FH to their forehand · rally+0.5±4.8+0.4+0.1
BH to their backhand · rally+3.8±4.3+0.9+2.9

Against Anna Karolina Schmiedlova-like opponents

Veronika Erjavec vMatchesServe pts wonReturn pts won
All charted opponents–57.3%37.7%

Similar by tactical fingerprint: Elina Svitolina, Jessica Pegula, Kimberly Birrell, Varvara Gracheva, Elisabetta Cocciaretto, Ana Bogdan, Caroline Wozniacki, Qiang Wang, Carla Suarez Navarro, Marion Bartoli. When two players have rarely met, their records against these lookalikes fill the gap.