RallyIQ

Game plan

Petr Korda v Gilles Muller

Every number combines what Petr Korda does well with what Gilles Muller allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Petr Korda wins, best of 3 49%90%: 18%–80% · best of 5: 48%
Serve points won 63.9% / 64.1% Petr / Gilles · tour 61.3%
Strengths only, no similarity priors 51%serve 63.6% / 63.5%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Petr Korda's record against Gilles Muller's tactical lookalikes and in their charted head-to-heads (lookalikes: +1.7 on serve, −4.9 on return vs expectation (485 points)). 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

CareerPetrGilles
Direction choice+0.06 ±0.08
better than 72%
+0.24 ±0.16
better than 96%
Shot selection−0.66 ±0.14
better than 6%
+0.37 ±0.36
better than 85%
Execution−0.78 ±0.45
better than 34%
−0.84 ±0.63
better than 31%
Points left on the table3.32 ±0.11
lower than 10%
3.21 ±0.28
lower than 12%

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.

Petr Korda serving

Deuce court

1st serveNowPetr winsv GillesMatchupOptimal
Wide37%75%76%78.2%±5.835% ▼
Body11%60%70%66.1%±11.70% ▼
T52%73%80%78.5%±6.065% ▲

Optimal v Gilles Muller: +1.3±0.8 per 100 first serves (faults included) over the current mix. Serving T every time would read +1.5 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowPetr winsv GillesMatchupOptimal
Wide63%69%79%75.9%±5.959% ▼
Body10%66%62%64.7%±12.60% ▼
T28%72%80%79.9%±6.541% ▲

Optimal v Gilles Muller: +0.9±0.8 per 100 first serves (faults included) over the current mix. Serving T every time would read +3.9 per 100 first serves in before the returner adjusts.

Gilles Muller serving

Deuce court

1st serveNowGilles winsv PetrMatchupOptimal
Wide41%77%73%77.0%±5.732% ▼
Body4%62%60%58.4%±14.20% ▼
T55%76%81%81.6%±5.268% ▲

Optimal v Petr Korda: +0.3±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +2.8 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowGilles winsv PetrMatchupOptimal
Wide49%81%73%81.1%±5.462% ▲
Body9%72%65%73.8%±11.00% ▼
T42%78%75%80.6%±5.538% ▼

Optimal v Petr Korda: +0.5±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +0.9 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.

Petr Korda returning

1st serve to the forehand

ReturnNowTourOwnv GillesValue
FH through the middle43%+4.3−1.4−1.2+1.7±2.7
FH crosscourt35%+5.5+2.2−1.7+6.0±4.1
FH down the line23%+1.7−2.3+2.1+1.5±4.5

Lean FH crosscourt: +2.9±3.1 per 100 returns v the current mix (376 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv GillesValue
BH through the middle27%+6.4−4.7+1.1+2.8±2.6
BH down the line22%+4.2−1.6+4.1+6.7±4.3
BH slice through the middle18%−4.2−0.2+0.8−3.6±2.4
BH slice down the line12%−8.4−2.2−0.6−11.2±3.4
BH crosscourt11%+8.8−0.4+3.4+11.8±3.6

Lean BH crosscourt: +10.3±3.4 per 100 returns v the current mix (661 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv GillesValue
FH crosscourt44%−0.2+1.5+1.0+2.4±4.3
FH through the middle34%−3.5−2.8+2.3−3.9±2.9
FH down the line22%−1.8+1.7+2.0+1.9±4.5

Lean FH crosscourt: +2.2±2.8 per 100 returns v the current mix (187 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv GillesValue
BH through the middle33%−2.9−2.4−0.6−5.9±2.3
BH down the line24%−0.2+2.2−1.0+1.0±4.8
BH crosscourt19%+1.0−2.1−2.4−3.5±3.2
BH slice crosscourt9%−4.0−0.4−0.8−5.2±2.4
BH slice through the middle8%−11.3+1.6−1.7−11.3±2.4

Lean BH down the line: +5.4±3.8 per 100 returns v the current mix (528 returns charted)

Gilles Muller returning

1st serve to the forehand

ReturnNowTourOwnv PetrValue
FH through the middle36%+4.3+1.2−1.0+4.4±2.8
FH crosscourt22%+5.5−0.5−5.1−0.1±4.4
FH down the line20%+1.7+0.9+1.4+4.0±4.3
FH slice through the middle10%−4.2+2.0−1.0−3.2±2.1
FH slice crosscourt8%−4.3+1.2−0.7−3.8±2.1

Lean FH through the middle: +2.8±2.2 per 100 returns v the current mix (210 returns charted)

1st serve to the backhand

ReturnNowTourOwnv PetrValue
BH through the middle27%+6.4+0.2−0.7+6.0±2.5
BH slice through the middle23%−4.2+0.3+2.4−1.5±2.3
BH down the line16%+4.2−2.1+3.3+5.4±4.5
BH slice down the line14%−8.4+0.5+5.2−2.8±3.5
BH crosscourt11%+8.8−1.5−2.8+4.5±3.3

Lean BH through the middle: +3.8±2.1 per 100 returns v the current mix (270 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv PetrValue
FH crosscourt40%−0.2−0.3−4.5−5.0±4.3
FH through the middle37%−3.5−1.1−0.3−4.8±2.8
FH down the line23%−1.8±0.0−0.6−2.4±4.5

Lean FH down the line: +1.9±4.0 per 100 returns v the current mix (95 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv PetrValue
BH through the middle40%−2.9−0.8+1.0−2.7±2.3
BH crosscourt24%+1.0−2.5−2.5−4.0±3.0
BH down the line24%−0.2−2.3−0.4−2.9±4.6
BH slice down the line6%−9.3+0.6+2.0−6.7±3.6
FH inside-in5%+0.6+0.7−4.5−3.2±3.5

Lean BH through the middle: +0.6±2.0 per 100 returns v the current mix (95 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.

Petr Korda

Favour

ShotEdgeOwnTheirs
BH to their forehand · return +1+8.5±4.8+2.4+6.0
FH to their backhand · return +1+4.7±4.3+2.8+1.9
BH to their forehand · rally+3.7±4.7+2.9+0.7
FH to their backhand · return+3.3±4.2+0.1+3.2
BH to their forehand · return+1.9±4.8−0.1+1.9
FH to the middle · serve +1+1.8±3.1−0.3+2.1

Avoid

ShotEdgeOwnTheirs
BH to the middle · return−6.2±2.7−5.6−0.7
FH to the middle · return−3.8±2.8−4.0+0.2
FH to the middle · rally−3.4±2.9−2.9−0.5
FH to their forehand · rally−2.6±4.2−3.5+0.8
FH to their forehand · return +1−1.3±4.9−0.1−1.2

Gilles Muller

Favour

ShotEdgeOwnTheirs
BH slice to the middle · return+3.9±2.5+1.3+2.6
BH slice to their forehand · rally+2.5±3.3+0.6+1.9
BH to the middle · return+1.1±2.7−0.1+1.2
FH to their backhand · return+1.1±4.1±0.0+1.2
FH to their backhand · rally−0.7±3.7−0.6−0.1
FH to the middle · return−1.2±3.0−0.8−0.4

Avoid

ShotEdgeOwnTheirs
FH to their forehand · return +1−20.8±5.1−6.4−14.4
FH to their forehand · rally−13.1±4.2−4.9−8.2
BH volley to their backhand · serve +1−7.3±5.0−3.8−3.5
FH to their forehand · return−6.4±5.4−0.3−6.2
BH slice to their backhand · rally−4.6±2.4−3.3−1.2

Against Gilles Muller-like opponents

Petr Korda vMatchesServe pts wonReturn pts won
All charted opponents–63.4%35.3%
Players most similar to Gilles Muller2 64.4%30.6%

Similar by tactical fingerprint: Alexei Popyrin, Pierre Hugues Herbert, Sam Querrey, Jo Wilfried Tsonga, Kevin King, Fernando Gonzalez, Tim Henman, Mark Philippoussis, Todd Martin, Boris Becker. When two players have rarely met, their records against these lookalikes fill the gap.