RallyIQ

Game plan

Diego Schwartzman v Alexandre Muller

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

Forecast

Diego Schwartzman wins, best of 3 82%90%: 58%–95% · best of 5: 88%
Serve points won 64.4% / 57.2% Diego / Alexandre · tour 63.4%
Strengths only, no similarity priors 82%serve 64.4% / 57.2%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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

CareerDiegoAlexandre
Direction choice−0.08 ±0.08
better than 36%
−0.14 ±0.16
better than 20%
Shot selection−0.16 ±0.09
better than 33%
−0.44 ±0.31
better than 14%
Execution+0.13 ±0.29
better than 74%
−0.70 ±0.65
better than 36%
Points left on the table2.35 ±0.12
lower than 79%
2.74 ±0.37
lower than 36%

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.

Diego Schwartzman serving

Deuce court

1st serveNowDiego winsv AlexandreMatchupOptimal
Wide53%66%79%73.4%±6.366% ▲
Body17%62%62%61.1%±11.24% ▼
T30%66%80%72.2%±7.630%

Optimal v Alexandre Muller: +0.8±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +2.5 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowDiego winsv AlexandreMatchupOptimal
Wide36%65%79%72.1%±7.049% ▲
Body16%63%71%70.9%±11.016%
T48%61%75%64.9%±8.535% ▼

Optimal v Alexandre Muller: +0.4±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.6 per 100 first serves in before the returner adjusts.

Alexandre Muller serving

Deuce court

1st serveNowAlexandre winsv DiegoMatchupOptimal
Wide49%65%72%64.4%±6.462% ▲
Body12%55%52%42.5%±11.20% ▼
T39%64%74%62.9%±7.638%

Optimal v Diego Schwartzman: +0.9±0.9 per 100 first serves (faults included) over the current mix. Serving wide every time would read +3.2 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowAlexandre winsv DiegoMatchupOptimal
Wide46%67%75%69.4%±6.759% ▲
Body11%55%54%45.5%±12.10% ▼
T44%63%70%60.2%±7.441% ▼

Optimal v Diego Schwartzman: +0.7±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +6.6 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.

Diego Schwartzman returning

1st serve to the forehand

ReturnNowTourOwnv AlexandreValue
FH through the middle47%+4.3+0.3+2.4+7.0±2.4
FH crosscourt20%+5.5−0.1−0.7+4.8±4.1
FH slice through the middle16%−4.2−1.7−0.3−6.1±2.1
FH down the line11%+1.7−2.4+1.1+0.4±4.4
FH slice crosscourt4%−4.3−0.8−1.9−7.0±2.4

Lean FH through the middle: +4.0±1.6 per 100 returns v the current mix (870 returns charted)

1st serve to the backhand

ReturnNowTourOwnv AlexandreValue
BH through the middle40%+6.4+1.3+0.6+8.4±2.4
BH crosscourt29%+8.8−1.1+1.3+9.0±3.2
BH slice through the middle17%−4.2−2.3±0.0−6.5±2.4
BH down the line6%+4.2+2.7+0.2+7.0±4.5
BH slice crosscourt5%+0.5+0.2+0.7+1.4±2.8

Lean BH crosscourt: +4.0±2.5 per 100 returns v the current mix (792 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv AlexandreValue
FH through the middle61%−3.5+1.1+1.2−1.2±2.7
FH crosscourt27%−0.2−0.1−0.6−0.9±4.4
FH down the line12%−1.8+0.8−0.6−1.6±4.6

Lean FH crosscourt: +0.3±3.7 per 100 returns v the current mix (230 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv AlexandreValue
BH crosscourt49%+1.0−1.3+2.4+2.1±2.9
BH through the middle38%−2.9+2.8+1.4+1.3±2.3
BH down the line6%−0.2+0.8−2.1−1.5±4.8
FH through the middle3%−2.9−0.4+1.2−2.1±2.2
FH inside-in2%+0.6−0.8−0.6−0.8±3.8

Lean BH crosscourt: +0.9±1.7 per 100 returns v the current mix (551 returns charted, inside the 90% margin)

Alexandre Muller returning

1st serve to the forehand

ReturnNowTourOwnv DiegoValue
FH through the middle41%+4.3+0.4+2.6+7.3±2.4
FH slice through the middle19%−4.2+0.4+0.6−3.3±2.3
FH down the line17%+1.7−1.7+0.7+0.7±3.9
FH crosscourt13%+5.5−3.1+3.0+5.4±3.9
FH slice down the line6%−4.3+1.1−1.3−4.5±2.4

Lean FH through the middle: +4.5±1.7 per 100 returns v the current mix (169 returns charted)

1st serve to the backhand

ReturnNowTourOwnv DiegoValue
BH through the middle47%+6.4+1.0+1.9+9.2±2.3
BH crosscourt24%+8.8−1.3+1.3+8.7±3.2
BH slice through the middle14%−4.2−2.4+0.5−6.2±2.4
BH down the line12%+4.2+1.1+0.5+5.8±4.3
BH slice crosscourt3%+0.5−1.6−1.2−2.2±2.5

Lean BH through the middle: +3.0±1.5 per 100 returns v the current mix (178 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv DiegoValue
FH through the middle40%−3.5−0.8−0.4−4.7±2.4
FH down the line24%−1.8−0.6+1.8−0.6±3.9
FH crosscourt22%−0.2+3.0−0.8+1.9±3.8
FH slice through the middle15%−12.7+0.8+0.7−11.2±1.5

Lean FH through the middle: −1.5±1.9 per 100 returns v the current mix (55 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv DiegoValue
BH through the middle45%−2.9−0.7+1.3−2.2±2.3
BH crosscourt30%+1.0+0.6+2.0+3.6±3.0
BH down the line25%−0.2−0.5+3.8+3.0±4.7

Lean BH crosscourt: +2.8±2.6 per 100 returns v the current mix (115 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.

Diego Schwartzman

Favour

ShotEdgeOwnTheirs
FH to their forehand · rally+3.3±2.2+0.6+2.8
FH to the middle · rally+3.2±1.8+1.8+1.4
BH to the middle · return +1+3.0±2.2+2.0+1.1
BH to the middle · return+3.0±1.9+1.6+1.5
FH to their forehand · serve +1+2.8±3.4−0.6+3.4
FH to the middle · return+2.1±1.9−0.1+2.2

Avoid

ShotEdgeOwnTheirs
FH to their backhand · return +1−2.2±3.6−0.2−2.0
BH slice to their backhand · rally−1.6±2.2−1.8+0.2
FH to their backhand · return+0.1±3.6−0.2+0.3
FH to their backhand · rally+0.2±2.3−0.6+0.8
BH to their forehand · rally+0.3±3.6+1.1−0.8

Alexandre Muller

Favour

ShotEdgeOwnTheirs
BH to the middle · return+2.9±1.9−0.1+3.0
BH to their forehand · return+2.7±4.1+0.2+2.5
BH to their backhand · return+2.4±2.8−0.2+2.6
FH to the middle · return+1.9±2.2−0.1+2.1
BH to their backhand · serve +1+0.9±2.8+1.5−0.5
FH to their forehand · serve +1+0.7±3.4−0.7+1.4

Avoid

ShotEdgeOwnTheirs
BH to their forehand · rally−4.1±3.4−3.7−0.4
FH to their forehand · rally−2.7±2.4−2.7±0.0
FH to their backhand · serve +1−2.3±3.0−2.3±0.0
BH to their backhand · return +1−2.3±2.9−2.0−0.3
FH slice to the middle · rally−2.2±2.9−1.4−0.8

Against Alexandre Muller-like opponents

Diego Schwartzman vMatchesServe pts wonReturn pts won
All charted opponents–58.7%37.5%

Similar by tactical fingerprint: Karen Khachanov, Alexander Shevchenko, Laslo Djere, Rinky Hijikata, Luca Nardi, Roman Safiullin, Fabio Fognini, Otto Virtanen, Gregoire Barrere, Andreas Seppi. When two players have rarely met, their records against these lookalikes fill the gap.