RallyIQ

Game plan

Johanna Larsson v Andrea Petkovic

Every number combines what Johanna Larsson does well with what Andrea Petkovic allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Johanna Larsson wins, best of 3 32%90%: 5%–77% · best of 5: 28%
Serve points won 53.6% / 57.1% Johanna / Andrea · tour 55.0%
Strengths only, no similarity priors 32%serve 53.6% / 57.1%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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

CareerJohannaAndrea
Direction choice−0.20 ±0.22
better than 16%
−0.18 ±0.14
better than 21%
Shot selection−0.07 ±0.27
better than 38%
+0.39 ±0.15
better than 89%
Execution−0.86 ±0.93
better than 22%
−0.77 ±0.60
better than 24%

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.

Johanna Larsson serving

Deuce court

1st serveNowJohanna winsv AndreaMatchupOptimal
Wide44%59%64%56.3%±10.259% ▲
Body17%54%61%58.0%±12.52% ▼
T39%60%73%66.2%±10.939%

Optimal v Andrea Petkovic: +0.3±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +5.8 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowJohanna winsv AndreaMatchupOptimal
Wide51%54%69%57.8%±10.566% ▲
Body17%53%55%51.8%±13.21% ▼
T32%60%62%57.0%±11.733%

Optimal v Andrea Petkovic: +0.7±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +1.2 per 100 first serves in before the returner adjusts.

Andrea Petkovic serving

Deuce court

1st serveNowAndrea winsv JohannaMatchupOptimal
Wide39%66%72%72.0%±9.054% ▲
Body28%58%68%68.7%±11.912% ▼
T33%62%69%63.8%±10.534%

Optimal v Johanna Larsson: +0.3±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.7 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowAndrea winsv JohannaMatchupOptimal
Wide36%67%65%67.0%±10.249% ▲
Body25%50%58%51.9%±12.810% ▼
T39%60%70%65.2%±10.441% ▲

Optimal v Johanna Larsson: +0.9±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +4.5 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.

Johanna Larsson returning

1st serve to the forehand

ReturnNowTourOwnv AndreaValue
FH through the middle41%+4.2−1.0+1.1+4.2±2.9
FH crosscourt29%+5.3+1.4+2.0+8.8±4.3
FH slice through the middle18%−6.7−0.6+0.1−7.2±2.4
FH down the line7%+1.5+1.8−0.1+3.3±3.9
FH slice crosscourt6%−6.6−1.0+0.5−7.2±2.1

Lean FH crosscourt: +6.0±3.3 per 100 returns v the current mix (101 returns charted)

1st serve to the backhand

ReturnNowTourOwnv AndreaValue
BH through the middle55%+6.0+0.1+1.3+7.5±2.7
BH crosscourt27%+7.7−0.8+2.1+9.1±3.5
BH down the line11%+2.2−0.5+2.7+4.4±4.1
BH slice through the middle8%−6.2+0.4+1.9−3.9±2.0

Lean BH crosscourt: +2.4±3.0 per 100 returns v the current mix (93 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv AndreaValue
BH through the middle29%−2.6+1.0+0.9−0.7±2.5
FH through the middle29%−2.7+0.5−1.4−3.5±2.3
BH crosscourt26%+1.5+0.5+2.5+4.5±3.3
FH inside-out17%+1.4+1.6−0.8+2.2±3.7

Andrea Petkovic returning

1st serve to the forehand

ReturnNowTourOwnv JohannaValue
FH through the middle58%+4.2+1.7+0.7+6.6±2.9
FH crosscourt30%+5.3−0.1−1.6+3.6±4.1
FH down the line10%+1.5−2.5+0.1−0.9±4.4
FH slice through the middle2%−6.7+1.0+0.9−4.8±1.7

Lean FH through the middle: +1.9±1.8 per 100 returns v the current mix (307 returns charted)

1st serve to the backhand

ReturnNowTourOwnv JohannaValue
BH through the middle48%+6.0+2.1+0.1+8.2±2.9
BH crosscourt34%+7.7−0.1+2.3+9.9±3.7
BH down the line15%+2.2+6.4±0.0+8.6±4.4
BH slice through the middle3%−6.2+0.5+0.5−5.2±1.5

Lean BH crosscourt: +1.4±2.9 per 100 returns v the current mix (182 returns charted, inside the 90% margin)

2nd serve to the forehand

ReturnNowTourOwnv JohannaValue
FH crosscourt54%+0.5+0.9−0.9+0.6±4.1
FH through the middle46%−3.2+0.8+0.4−2.0±2.9

Lean FH crosscourt: +1.2±2.3 per 100 returns v the current mix (63 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv JohannaValue
BH through the middle51%−2.6+2.1+0.5±0.0±2.8
BH crosscourt32%+1.5−0.1−1.1+0.3±3.6
BH down the line13%−0.5+2.5+0.5+2.5±3.9
FH inside-in5%+0.7−3.3−0.9−3.4±3.4

Lean BH crosscourt: +0.1±2.9 per 100 returns v the current mix (104 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 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.

Johanna Larsson

Favour

ShotEdgeOwnTheirs
FH to their forehand · return+5.4±5.4+3.2+2.3
FH to their backhand · rally+5.2±5.5+1.4+3.9
BH to the middle · return+5.1±3.7+3.0+2.1
FH to their forehand · rally+3.7±4.9+0.4+3.2
BH to their backhand · rally+2.2±4.5−0.6+2.9
FH to the middle · return+0.8±3.9−0.7+1.4

Avoid

ShotEdgeOwnTheirs
BH to the middle · rally−4.0±3.2−1.0−3.0
FH to the middle · rally−0.7±3.4−2.0+1.3
FH to the middle · serve +1+0.7±3.6−0.4+1.1
FH to the middle · return+0.8±3.9−0.7+1.4
BH to their backhand · rally+2.2±4.5−0.6+2.9

Andrea Petkovic

Favour

ShotEdgeOwnTheirs
FH to the middle · return+6.6±3.8+4.6+2.0
BH to their backhand · return+3.0±4.6+1.4+1.6
FH to their forehand · rally+2.0±4.8−3.1+5.1
BH to the middle · rally+1.3±3.2+0.1+1.2
BH to their forehand · rally+1.0±6.4−3.0+4.0
BH to the middle · return−0.6±3.7+0.2−0.8

Avoid

ShotEdgeOwnTheirs
FH to their backhand · serve +1−4.9±5.8−4.5−0.4
FH to their backhand · rally−3.4±5.4−1.2−2.3
FH to their forehand · serve +1−2.3±5.6−3.7+1.4
BH to their backhand · rally−1.4±4.4+0.3−1.7
FH to the middle · rally−0.6±3.5−0.1−0.5

Against Andrea Petkovic-like opponents

Johanna Larsson vMatchesServe pts wonReturn pts won
All charted opponents–49.2%35.7%

Similar by tactical fingerprint: Anna Blinkova, Elina Svitolina, Jasmine Paolini, Maya Joint, Emma Raducanu, Maria Sakkari, Varvara Gracheva, Yue Yuan, Anna Lena Friedsam, R. When two players have rarely met, their records against these lookalikes fill the gap.