RallyIQ

Game plan

Thomas Muster v Pablo Cuevas

Every number combines what Thomas Muster does well with what Pablo Cuevas allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Thomas Muster wins, best of 3 42%90%: 17%–70% · best of 5: 40%
Serve points won 64.3% / 66.0% Thomas / Pablo · tour 63.4%
Strengths only, no similarity priors 42%serve 64.3% / 66.0%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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

CareerThomasPablo
Direction choice±0.00 ±0.08
better than 58%
−0.11 ±0.14
better than 27%
Shot selection−0.10 ±0.17
better than 40%
−0.11 ±0.22
better than 39%
Execution+0.62 ±0.35
better than 87%
−0.82 ±0.66
better than 32%
Points left on the table2.81 ±0.17
lower than 30%
2.67 ±0.20
lower than 41%

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.

Thomas Muster serving

Deuce court

1st serveNowThomas winsv PabloMatchupOptimal
Wide23%67%71%64.5%±8.936% ▲
Body16%59%70%66.6%±11.03% ▼
T62%65%73%62.9%±7.961%

Optimal v Pablo Cuevas: +0.6±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving body every time would read +2.8 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowThomas winsv PabloMatchupOptimal
Wide67%66%73%65.9%±7.566%
Body12%64%56%57.6%±12.40% ▼
T21%73%74%75.8%±8.534% ▲

Optimal v Pablo Cuevas: +0.4±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +8.8 per 100 first serves in before the returner adjusts.

Pablo Cuevas serving

Deuce court

1st serveNowPablo winsv ThomasMatchupOptimal
Wide36%83%69%79.9%±6.949% ▲
Body9%59%67%62.8%±13.60% ▼
T55%71%77%73.4%±7.551% ▼

Optimal v Thomas Muster: +0.7±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +5.1 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowPablo winsv ThomasMatchupOptimal
Wide57%74%70%70.7%±7.255% ▼
Body11%72%68%76.1%±10.10% ▼
T32%69%74%71.1%±8.645% ▲

Optimal v Thomas Muster: +0.2±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving body every time would read +4.6 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.

Thomas Muster returning

1st serve to the forehand

ReturnNowTourOwnv PabloValue
FH through the middle45%+4.3+0.8+1.0+6.0±2.8
FH crosscourt31%+5.5+1.0+1.2+7.6±4.1
FH down the line16%+1.7−4.5−1.3−4.2±4.3
FH slice through the middle6%−4.2+1.5±0.0−2.7±2.0
FH slice crosscourt2%−4.3+0.8±0.0−3.6±1.4

Lean FH crosscourt: +3.4±3.2 per 100 returns v the current mix (447 returns charted)

1st serve to the backhand

ReturnNowTourOwnv PabloValue
BH through the middle35%+6.4−2.4−1.3+2.7±2.4
BH slice through the middle19%−4.2+2.0−1.6−3.8±2.3
BH down the line16%+4.2−3.3+1.6+2.5±4.4
BH crosscourt13%+8.8−0.3−0.7+7.8±3.3
BH slice down the line7%−8.4+3.5+0.7−4.2±3.3
FH through the middle2%+7.7−0.1+1.0+8.7±2.5

Lean FH through the middle: +7.1±2.7 per 100 returns v the current mix (785 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv PabloValue
FH crosscourt44%−0.2+1.9−1.1+0.6±4.0
FH through the middle42%−3.5+0.7+1.6−1.2±2.8
FH down the line13%−1.8−2.7−0.9−5.3±4.1

Lean FH crosscourt: +1.5±2.6 per 100 returns v the current mix (270 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv PabloValue
BH through the middle33%−2.9−0.4−1.3−4.5±2.3
FH through the middle20%−2.9+2.2+1.6+1.0±2.3
BH crosscourt17%+1.0+1.0−3.3−1.3±3.1
FH inside-in15%+0.6−1.1−1.1−1.7±4.1
BH down the line9%−0.2−3.3−2.5−6.0±5.0
FH inside-out5%+1.0+2.3−0.9+2.4±3.2

Lean FH inside-out: +4.6±3.3 per 100 returns v the current mix (617 returns charted)

Pablo Cuevas returning

1st serve to the forehand

ReturnNowTourOwnv ThomasValue
FH through the middle59%+4.3−2.0−1.2+1.1±2.8
FH crosscourt25%+5.5−2.1−1.0+2.4±4.1
FH down the line16%+1.7+2.8−2.2+2.3±4.3

Lean FH crosscourt: +0.8±3.5 per 100 returns v the current mix (135 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv ThomasValue
BH through the middle38%+6.4−2.0−0.4+4.0±2.4
BH down the line19%+4.2−0.3−1.5+2.4±4.0
BH crosscourt19%+8.8+1.4+3.2+13.4±3.3
BH slice through the middle12%−4.2−0.3+4.2−0.3±2.1
BH slice crosscourt7%+0.5−2.6+5.8+3.7±2.7

Lean BH crosscourt: +9.2±2.9 per 100 returns v the current mix (178 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv ThomasValue
FH through the middle60%−3.5−2.1+0.1−5.5±2.7
FH crosscourt25%−0.2+1.0+1.5+2.2±3.5
FH down the line15%−1.8+0.3+0.8−0.7±3.9

Lean FH through the middle: −2.7±1.5 per 100 returns v the current mix (40 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv ThomasValue
BH through the middle46%−2.9+1.0+1.1−0.8±2.3
BH crosscourt40%+1.0−1.4+1.9+1.5±3.1
FH through the middle8%−2.9−0.1+0.1−2.9±2.1
BH down the line6%−0.2−1.6−0.2−1.9±4.0

Lean BH crosscourt: +1.6±2.2 per 100 returns v the current mix (136 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.

Thomas Muster

Favour

ShotEdgeOwnTheirs
FH to their forehand · rally+2.3±2.6+0.4+1.9
BH to their forehand · rally+1.6±3.6+0.9+0.7
FH to the middle · return+1.5±2.4+0.4+1.1
FH to the middle · rally±0.0±1.9+1.3−1.3
BH to their backhand · rally−0.9±2.3−2.4+1.6
FH to their backhand · rally−0.9±2.2+1.2−2.1

Avoid

ShotEdgeOwnTheirs
BH to their backhand · return−3.6±3.1−3.5±0.0
BH to the middle · return−2.4±2.0−1.1−1.2
FH to their forehand · serve +1−1.9±3.4+0.3−2.2
BH to the middle · rally−1.6±1.7+0.6−2.2
FH to the middle · serve +1−1.5±2.5+2.0−3.5

Pablo Cuevas

Favour

ShotEdgeOwnTheirs
FH to the middle · serve +1+2.2±2.6±0.0+2.1
FH to their forehand · serve +1+1.3±3.7+1.1+0.2
BH to the middle · rally+1.3±1.8+0.7+0.6
FH to their backhand · serve +1+0.5±3.0−0.3+0.7
BH to the middle · return±0.0±2.0−1.3+1.3
BH to their backhand · rally−0.4±2.1+0.6−1.0

Avoid

ShotEdgeOwnTheirs
BH to their forehand · rally−6.3±3.4−6.2±0.0
FH to their forehand · return +1−4.0±4.1−0.4−3.6
FH to the middle · rally−3.2±2.0−1.7−1.5
BH to their backhand · return +1−3.2±3.1+0.5−3.7
FH to the middle · return−3.0±2.4−2.3−0.7

Against Pablo Cuevas-like opponents

Thomas Muster vMatchesServe pts wonReturn pts won
All charted opponents–61.1%38.4%

Similar by tactical fingerprint: Cameron Norrie, Gael Monfils, Juncheng Shang, Thiago Monteiro, Daniel Elahi Galan, Albert Ramos, Cristian Garin, Federico Delbonis, Philipp Kohlschreiber, Nicolas Massu. When two players have rarely met, their records against these lookalikes fill the gap.