RallyIQ

Game plan

Albert Ramos v Thomas Muster

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

Forecast

Albert Ramos wins, best of 3 35%90%: 13%–63% · best of 5: 31%
Serve points won 60.4% / 63.5% Albert / Thomas · tour 63.4%
Strengths only, no similarity priors 33%serve 60.5% / 63.9%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Albert Ramos's record against Thomas Muster's tactical lookalikes and in their charted head-to-heads (lookalikes: −0.8 on serve, +2.6 on return vs expectation (619 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

CareerAlbertThomas
Direction choice+0.07 ±0.10
better than 76%
±0.00 ±0.08
better than 58%
Shot selection+0.07 ±0.17
better than 61%
−0.10 ±0.17
better than 40%
Execution+0.14 ±0.35
better than 74%
+0.62 ±0.35
better than 87%
Points left on the table2.58 ±0.15
lower than 50%
2.81 ±0.17
lower than 30%

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.

Albert Ramos serving

Deuce court

1st serveNowAlbert winsv ThomasMatchupOptimal
Wide31%68%69%64.5%±6.744% ▲
Body10%60%67%63.8%±11.39%
T60%61%77%64.3%±6.447% ▼

Optimal v Thomas Muster: +0.4±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +0.2 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowAlbert winsv ThomasMatchupOptimal
Wide60%65%70%61.3%±5.947% ▼
Body8%61%68%65.9%±10.39%
T31%69%74%71.2%±6.444% ▲

Optimal v Thomas Muster: +0.7±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +6.4 per 100 first serves in before the returner adjusts.

Thomas Muster serving

Deuce court

1st serveNowThomas winsv AlbertMatchupOptimal
Wide23%67%74%68.1%±6.336% ▲
Body16%59%71%68.0%±9.43% ▼
T62%65%76%66.9%±6.061%

Optimal v Albert Ramos: +0.6±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +0.8 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowThomas winsv AlbertMatchupOptimal
Wide67%66%70%62.7%±5.954% ▼
Body12%64%58%59.6%±10.212%
T21%73%73%74.4%±7.134% ▲

Optimal v Albert Ramos: +0.5±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +9.6 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.

Albert Ramos returning

1st serve to the forehand

ReturnNowTourOwnv ThomasValue
FH through the middle40%+4.3+1.2−1.2+4.2±2.6
FH crosscourt33%+5.5+3.8−2.2+7.1±4.3
FH down the line11%+1.7+1.2−1.0+1.9±4.2
FH slice through the middle7%−4.2−2.1−0.3−6.6±2.2
FH slice crosscourt5%−4.3+0.3±0.0−4.0±1.8

Lean FH crosscourt: +3.6±3.1 per 100 returns v the current mix (339 returns charted)

1st serve to the backhand

ReturnNowTourOwnv ThomasValue
BH through the middle44%+6.4±0.0−0.4+5.9±2.0
BH crosscourt18%+8.8−1.5−1.5+5.7±3.1
BH slice through the middle17%−4.2−2.1+4.2−2.1±2.2
BH down the line11%+4.2+1.6+3.2+9.0±4.3
BH slice crosscourt5%+0.5−2.2+0.3−1.4±2.9

Lean BH down the line: +4.9±4.0 per 100 returns v the current mix (504 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv ThomasValue
FH crosscourt47%−0.2+0.7+0.8+1.3±4.4
FH through the middle44%−3.5±0.0+0.1−3.4±2.8
FH down the line9%−1.8+0.8+1.5+0.5±3.8

Lean FH crosscourt: +2.2±2.7 per 100 returns v the current mix (129 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv ThomasValue
BH through the middle42%−2.9+0.2+1.1−1.5±2.2
BH crosscourt23%+1.0−0.8−0.2±0.0±3.1
FH through the middle14%−2.9+1.2+0.1−1.6±2.4
FH inside-in8%+0.6−0.8+0.8+0.6±4.3
BH down the line7%−0.2−1.2+1.9+0.5±4.5
FH inside-out5%+1.0+0.4+1.5+2.8±3.2

Lean FH inside-out: +3.5±3.3 per 100 returns v the current mix (314 returns charted)

Thomas Muster returning

1st serve to the forehand

ReturnNowTourOwnv AlbertValue
FH through the middle45%+4.3+0.8−0.1+4.9±2.5
FH crosscourt31%+5.5+1.0−2.7+3.7±4.2
FH down the line16%+1.7−4.5+3.8+0.9±4.4
FH slice through the middle6%−4.2+1.5+0.6−2.1±2.2
FH slice crosscourt2%−4.3+0.8±0.0−3.6±1.4

Lean FH through the middle: +1.6±2.0 per 100 returns v the current mix (447 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv AlbertValue
BH through the middle35%+6.4−2.4+1.7+5.7±2.0
BH slice through the middle19%−4.2+2.0+0.9−1.4±2.3
BH down the line16%+4.2−3.3+2.5+3.4±4.1
BH crosscourt13%+8.8−0.3−1.0+7.5±3.3
BH slice down the line7%−8.4+3.5+0.4−4.4±3.3
FH through the middle2%+7.7−0.1−0.1+7.6±2.3

Lean FH through the middle: +4.4±2.5 per 100 returns v the current mix (785 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv AlbertValue
FH crosscourt44%−0.2+1.9+2.6+4.3±4.2
FH through the middle42%−3.5+0.7+0.4−2.4±2.7
FH down the line13%−1.8−2.7+0.5−3.9±4.6

Lean FH crosscourt: +3.9±2.7 per 100 returns v the current mix (270 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv AlbertValue
BH through the middle33%−2.9−0.4−0.3−3.6±2.1
FH through the middle20%−2.9+2.2+0.4−0.3±2.2
BH crosscourt17%+1.0+1.0+1.3+3.3±3.2
FH inside-in15%+0.6−1.1+2.6+2.0±4.3
BH down the line9%−0.2−3.3+0.6−2.8±4.8
FH inside-out5%+1.0+2.3+0.5+3.8±3.6

Lean FH inside-out: +4.2±3.7 per 100 returns v the current mix (617 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.

Albert Ramos

Favour

ShotEdgeOwnTheirs
BH slice to their forehand · rally+5.7±3.0+3.2+2.5
FH to their backhand · return +1+4.0±3.0+1.9+2.1
FH to their backhand · rally+3.8±1.5+2.1+1.7
BH to their forehand · return+3.6±3.5+0.4+3.2
FH to their backhand · return+3.5±3.0+3.5±0.0
BH slice to the middle · return+3.0±2.1−1.5+4.5

Avoid

ShotEdgeOwnTheirs
FH to their forehand · return +1−6.2±3.9−2.6−3.6
BH to their backhand · return +1−5.3±3.1−1.6−3.7
BH slice to their backhand · rally−4.4±2.2−2.1−2.3
BH to their backhand · serve +1−3.8±3.2−3.4−0.4
FH to their forehand · serve +1−3.6±3.0−3.8+0.2

Thomas Muster

Favour

ShotEdgeOwnTheirs
BH slice to the middle · return+4.4±2.3+2.9+1.6
FH to their backhand · return+4.4±3.0+1.8+2.7
FH to their backhand · return +1+4.2±3.0+3.0+1.3
BH to their forehand · return+3.7±3.5+1.3+2.4
BH to their forehand · return +1+3.3±4.2+3.6−0.3
FH to their forehand · serve +1+3.3±2.9+0.3+3.0

Avoid

ShotEdgeOwnTheirs
BH slice to their backhand · rally−4.5±2.4−2.2−2.2
FH to their forehand · return−3.5±4.3−3.1−0.4
BH to their backhand · return +1−2.7±3.2−2.9+0.3
BH to their backhand · return−2.3±2.8−3.5+1.2
FH to the middle · return +1−1.2±2.7+1.5−2.6

Against Thomas Muster-like opponents

Albert Ramos vMatchesServe pts wonReturn pts won
All charted opponents–58.7%35.3%
Players most similar to Thomas Muster4 59.7%36.8%

Similar by tactical fingerprint: Cameron Norrie, Juncheng Shang, Yoshihito Nishioka, Rafael Nadal, Federico Delbonis, Pablo Cuevas, Nicolas Massu, Juan Carlos Ferrero, Gaston Gaudio. When two players have rarely met, their records against these lookalikes fill the gap.