RallyIQ

Game plan

Albert Ramos v Pablo Cuevas

Every number combines what Albert Ramos 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

Albert Ramos wins, best of 3 32%90%: 11%–61% · best of 5: 28%
Serve points won 62.8% / 66.6% Albert / Pablo · tour 63.4%
Strengths only, no similarity priors 27%serve 62.8% / 67.8%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Pablo Cuevas's tactical lookalikes and in their charted head-to-heads (lookalikes: ±0.0 on serve, +6.6 on return vs expectation (654 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

CareerAlbertPablo
Direction choice+0.07 ±0.10
better than 76%
−0.11 ±0.14
better than 27%
Shot selection+0.07 ±0.17
better than 61%
−0.11 ±0.22
better than 39%
Execution+0.14 ±0.35
better than 74%
−0.82 ±0.66
better than 32%
Points left on the table2.58 ±0.15
lower than 50%
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.

Albert Ramos serving

Deuce court

1st serveNowAlbert winsv PabloMatchupOptimal
Wide31%68%71%66.5%±9.144% ▲
Body10%60%70%67.5%±12.09%
T60%61%73%59.2%±8.447% ▼

Optimal v Pablo Cuevas: +0.6±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving body every time would read +5.3 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowAlbert winsv PabloMatchupOptimal
Wide60%65%73%64.6%±7.956% ▼
Body8%61%56%54.1%±13.50% ▼
T31%69%74%71.8%±8.744% ▲

Optimal v Pablo Cuevas: +0.5±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +5.8 per 100 first serves in before the returner adjusts.

Pablo Cuevas serving

Deuce court

1st serveNowPablo winsv AlbertMatchupOptimal
Wide36%83%74%83.6%±6.149% ▲
Body9%59%71%67.8%±12.80% ▼
T55%71%76%72.6%±7.751% ▼

Optimal v Albert Ramos: +0.8±0.8 per 100 first serves (faults included) over the current mix. Serving wide every time would read +7.4 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowPablo winsv AlbertMatchupOptimal
Wide57%74%70%70.7%±7.570% ▲
Body11%72%58%67.8%±12.30% ▼
T32%69%73%70.2%±9.030% ▼

Optimal v Albert Ramos: +0.4±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +0.5 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 PabloValue
FH through the middle40%+4.3+1.2+1.0+6.5±2.9
FH crosscourt33%+5.5+3.8+1.2+10.5±4.2
FH down the line11%+1.7+1.2−1.3+1.5±4.3
FH slice through the middle7%−4.2−2.1±0.0−6.4±2.0
FH slice crosscourt5%−4.3+0.3±0.0−4.0±1.8

Lean FH crosscourt: +5.0±3.1 per 100 returns v the current mix (339 returns charted)

1st serve to the backhand

ReturnNowTourOwnv PabloValue
BH through the middle44%+6.4±0.0−1.3+5.1±2.5
BH crosscourt18%+8.8−1.5−0.7+6.6±3.4
BH slice through the middle17%−4.2−2.1−1.6−7.9±2.4
BH down the line11%+4.2+1.6+1.6+7.4±4.6
BH slice crosscourt5%+0.5−2.2+0.2−1.5±2.6

Lean BH down the line: +4.9±4.4 per 100 returns v the current mix (504 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv PabloValue
FH crosscourt47%−0.2+0.7−1.1−0.6±4.2
FH through the middle44%−3.5±0.0+1.6−1.9±2.9
FH down the line9%−1.8+0.8−0.9−1.9±3.6

Lean FH crosscourt: +0.7±2.6 per 100 returns v the current mix (129 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv PabloValue
BH through the middle42%−2.9+0.2−1.3−4.0±2.4
BH crosscourt23%+1.0−0.8−3.3−3.1±3.2
FH through the middle14%−2.9+1.2+1.6±0.0±2.5
FH inside-in8%+0.6−0.8−1.1−1.3±4.1
BH down the line7%−0.2−1.2−2.5−3.9±4.8
FH inside-out5%+1.0+0.4−0.9+0.4±3.0

Lean FH inside-out: +3.2±3.2 per 100 returns v the current mix (314 returns charted)

Pablo Cuevas returning

1st serve to the forehand

ReturnNowTourOwnv AlbertValue
FH through the middle59%+4.3−2.0−0.1+2.2±2.8
FH crosscourt25%+5.5−2.1+3.8+7.1±4.3
FH down the line16%+1.7+2.8−2.7+1.8±4.4

Lean FH crosscourt: +3.8±3.7 per 100 returns v the current mix (135 returns charted)

1st serve to the backhand

ReturnNowTourOwnv AlbertValue
BH through the middle38%+6.4−2.0+1.7+6.1±2.4
BH down the line19%+4.2−0.3−1.0+3.0±4.3
BH crosscourt19%+8.8+1.4+2.5+12.7±3.3
BH slice through the middle12%−4.2−0.3+0.9−3.6±2.4
BH slice crosscourt7%+0.5−2.6+0.4−1.6±2.6

Lean BH crosscourt: +8.5±3.0 per 100 returns v the current mix (178 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv AlbertValue
FH through the middle60%−3.5−2.1+0.4−5.2±2.7
FH crosscourt25%−0.2+1.0+0.5+1.3±3.8
FH down the line15%−1.8+0.3+2.6+1.1±3.9

Lean FH through the middle: −2.6±1.6 per 100 returns v the current mix (40 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv AlbertValue
BH through the middle46%−2.9+1.0−0.3−2.2±2.4
BH crosscourt40%+1.0−1.4+0.6+0.2±3.2
FH through the middle8%−2.9−0.1+0.4−2.6±2.1
BH down the line6%−0.2−1.6+1.3−0.5±4.3

Lean BH crosscourt: +1.4±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.

Albert Ramos

Favour

ShotEdgeOwnTheirs
BH to their forehand · rally+3.4±3.7+2.6+0.7
FH to their forehand · rally+1.4±2.8−0.5+1.9
FH to the middle · return+1.0±2.5±0.0+1.1
BH to their backhand · rally±0.0±2.3−1.6+1.6
FH to their backhand · rally±0.0±2.4+2.1−2.1
BH to the middle · return−0.1±2.1+1.1−1.2

Avoid

ShotEdgeOwnTheirs
FH to their forehand · serve +1−6.0±3.5−3.8−2.2
FH to the middle · serve +1−3.2±2.6+0.3−3.5
FH to their backhand · serve +1−2.5±3.0−0.9−1.6
FH to the middle · rally−2.0±2.1−0.7−1.3
BH to the middle · rally−1.2±1.8+1.0−2.2

Pablo Cuevas

Favour

ShotEdgeOwnTheirs
FH to their forehand · serve +1+4.1±3.6+1.1+3.0
BH to their backhand · rally+2.3±2.3+0.6+1.7
FH to their forehand · return +1+1.0±4.3−0.4+1.4
FH to their forehand · rally+1.0±2.7−0.5+1.5
BH to their backhand · return +1+0.8±3.4+0.5+0.3
FH to their backhand · serve +1+0.6±3.1−0.3+0.9

Avoid

ShotEdgeOwnTheirs
BH to their forehand · rally−4.9±3.6−6.2+1.3
FH to the middle · return−2.6±2.4−2.3−0.3
FH to the middle · rally−2.4±2.0−1.7−0.8
FH to their backhand · rally−2.0±2.3−2.6+0.6
BH to their backhand · return−0.3±3.0−1.5+1.2

Against Pablo Cuevas-like opponents

Albert Ramos vMatchesServe pts wonReturn pts won
All charted opponents–58.7%35.3%
Players most similar to Pablo Cuevas3 62.0%41.8%

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