RallyIQ

Game plan

Claudia Kohde Kilsch v Petra Martic

Every number combines what Claudia Kohde Kilsch does well with what Petra Martic 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.

Claudia Kohde Kilsch serving

Deuce court

1st serveNowClaudia winsv PetraMatchupOptimal
Wide33%69%72%75.1%±10.048% ▲
Body40%54%59%54.9%±12.125% ▼
T26%59%67%58.7%±13.127%

Optimal v Petra Martic: +1.2±1.2 per 100 first serves (faults included) over the current mix. Serving wide every time would read +12.4 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowClaudia winsv PetraMatchupOptimal
Wide20%67%64%65.2%±13.835% ▲
Body42%55%59%57.7%±12.227% ▼
T39%56%69%61.8%±12.338%

Optimal v Petra Martic: +0.7±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +4.4 per 100 first serves in before the returner adjusts.

Petra Martic serving

Deuce court

1st serveNowPetra winsv ClaudiaMatchupOptimal
Wide50%65%66%65.7%±12.149%
Body14%57%61%61.0%±12.90% ▼
T36%72%66%70.8%±11.051% ▲

Optimal v Claudia Kohde Kilsch: +1.1±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +3.9 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowPetra winsv ClaudiaMatchupOptimal
Wide50%68%60%61.7%±10.649%
Body19%58%55%56.5%±14.64% ▼
T32%60%67%61.9%±14.547% ▲

Optimal v Claudia Kohde Kilsch: +0.6±1.2 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +1.1 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.

Claudia Kohde Kilsch returning

1st serve to the backhand

ReturnNowTourOwnv PetraValue
BH slice crosscourt67%−4.2+3.8−1.1−1.4±2.8
BH slice through the middle33%−6.2−0.1±0.0−6.4±2.4

Lean BH slice crosscourt: +1.6±1.2 per 100 returns v the current mix (58 returns charted)

Petra Martic returning

1st serve to the forehand

ReturnNowTourOwnv ClaudiaValue
FH through the middle55%+4.2+1.1−1.0+4.2±2.8
FH crosscourt29%+5.3+2.5−0.1+7.7±4.2
FH down the line14%+1.5+0.7+0.1+2.3±4.5
FH slice through the middle2%−6.7+0.8±0.0−5.9±1.3

Lean FH crosscourt: +2.9±3.4 per 100 returns v the current mix (364 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv ClaudiaValue
BH through the middle41%+6.0−1.3−1.6+3.0±2.5
BH crosscourt21%+7.7+0.6+0.1+8.5±3.1
BH slice through the middle18%−6.2+0.7+0.9−4.6±2.3
BH slice crosscourt9%−4.2−0.4+0.7−3.9±2.6
BH down the line7%+2.2+2.0±0.0+4.2±3.2

Lean BH crosscourt: +6.8±2.7 per 100 returns v the current mix (441 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv ClaudiaValue
FH crosscourt40%+0.5−1.2+0.2−0.5±4.1
FH down the line38%−0.6+2.0−1.9−0.4±4.7
FH through the middle22%−3.2−1.8±0.0−5.0±2.5

Lean FH down the line: +1.0±3.4 per 100 returns v the current mix (90 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv ClaudiaValue
BH crosscourt33%+1.5+1.7±0.0+3.2±2.6
BH through the middle28%−2.6−0.4−0.1−3.1±2.4
FH through the middle13%−2.7−1.7±0.0−4.4±2.2
FH inside-in12%+0.7−1.2+0.2−0.2±4.2
BH down the line9%−0.5−1.6±0.0−2.1±3.2

Lean BH crosscourt: +3.8±2.0 per 100 returns v the current mix (189 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.

Claudia Kohde Kilsch

Favour

ShotEdgeOwnTheirs
BH slice to their backhand · rally+5.8±2.6+5.7+0.1
FH to their forehand · rally−3.6±3.2−3.3−0.3
FH to their backhand · rally−5.3±3.5−6.2+0.9

Avoid

ShotEdgeOwnTheirs
FH to their backhand · rally−5.3±3.5−6.2+0.9
FH to their forehand · rally−3.6±3.2−3.3−0.3
BH slice to their backhand · rally+5.8±2.6+5.7+0.1

Petra Martic

Favour

ShotEdgeOwnTheirs
BH slice to their backhand · rally+5.5±2.4+1.2+4.3
BH slice to their forehand · rally+3.9±3.4+1.9+2.0
FH to their forehand · rally+1.2±3.2+0.6+0.6
FH to their backhand · rally−0.5±3.6+1.2−1.7

Avoid

ShotEdgeOwnTheirs
FH to their backhand · rally−0.5±3.6+1.2−1.7
FH to their forehand · rally+1.2±3.2+0.6+0.6
BH slice to their forehand · rally+3.9±3.4+1.9+2.0
BH slice to their backhand · rally+5.5±2.4+1.2+4.3

Against Petra Martic-like opponents

Claudia Kohde Kilsch vMatchesServe pts wonReturn pts won
All charted opponents–49.0%45.8%

Similar by tactical fingerprint: Karolina Muchova, Xin Yu Wang, Bianca Andreescu, Linda Klimovicova, Marta Kostyuk, Yafan Wang, Anastasija Sevastova, Kristina Mladenovic, Kiki Bertens, Svetlana Kuznetsova. When two players have rarely met, their records against these lookalikes fill the gap.