RallyIQ

Game plan

Roberto Bautista Agut v Albert Ramos

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

Forecast

Roberto Bautista Agut wins, best of 3 67%90%: 41%–87% · best of 5: 71%
Serve points won 64.7% / 61.2% Roberto / Albert · tour 63.4%
Strengths only, no similarity priors 73%serve 65.8% / 61.1%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Roberto Bautista Agut's record against Albert Ramos's tactical lookalikes and in their charted head-to-heads (lookalikes: −10.1 on serve, −1.3 on return vs expectation (374 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

CareerRobertoAlbert
Direction choice+0.03 ±0.06
better than 65%
+0.07 ±0.10
better than 76%
Shot selection+0.08 ±0.08
better than 62%
+0.07 ±0.17
better than 61%
Execution+1.23 ±0.28
better than 98%
+0.14 ±0.35
better than 74%
Points left on the table2.30 ±0.09
lower than 85%
2.58 ±0.15
lower than 50%

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.

Structural compatibility

Expected edge per 100 rally shots from style alone: Roberto Bautista Agut +1.92, Albert Ramos +1.38. Each player's shot mix weighted by their own skill with each shot and by how much the other gives up against it. This is why some rankings gaps don't hold in a given matchup.

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.

Roberto Bautista Agut serving

Deuce court

1st serveNowRoberto winsv AlbertMatchupOptimal
Wide45%70%74%71.5%±4.458% ▲
Body9%64%71%71.8%±8.70% ▼
T47%72%76%73.9%±5.142% ▼

Optimal v Albert Ramos: +0.4±0.6 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +1.3 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowRoberto winsv AlbertMatchupOptimal
Wide56%70%70%66.7%±5.351% ▼
Body9%61%58%55.7%±9.60% ▼
T36%72%73%73.0%±5.149% ▲

Optimal v Albert Ramos: +0.9±0.7 per 100 first serves (faults included) over the current mix. Serving T every time would read +4.9 per 100 first serves in before the returner adjusts.

Albert Ramos serving

Deuce court

1st serveNowAlbert winsv RobertoMatchupOptimal
Wide31%68%74%69.5%±6.044% ▲
Body10%60%60%57.2%±9.80% ▼
T60%61%76%62.5%±4.856% ▼

Optimal v Roberto Bautista Agut: +0.7±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +5.4 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowAlbert winsv RobertoMatchupOptimal
Wide60%65%77%69.4%±4.472% ▲
Body8%61%53%51.2%±10.80% ▼
T31%69%72%69.4%±6.028% ▼

Optimal v Roberto Bautista Agut: +0.6±0.6 per 100 first serves (faults included) over the current mix. Serving wide every time would read +1.6 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.

Roberto Bautista Agut returning

1st serve to the forehand

ReturnNowTourOwnv AlbertValue
FH through the middle47%+4.3+2.4−0.1+6.6±2.2
FH down the line19%+1.7+2.4−2.7+1.4±4.0
FH crosscourt15%+5.5+1.8+3.8+11.1±3.9
FH slice through the middle13%−4.2+0.4+0.6−3.2±2.1
FH slice crosscourt3%−4.3+0.3+0.6−3.5±2.7

Lean FH crosscourt: +6.7±3.6 per 100 returns v the current mix (1224 returns charted)

1st serve to the backhand

ReturnNowTourOwnv AlbertValue
BH through the middle42%+6.4+2.7+1.7+10.9±1.8
BH crosscourt20%+8.8+2.4+2.5+13.7±2.9
BH slice through the middle17%−4.2−0.1+0.9−3.5±2.2
BH down the line11%+4.2+4.9−1.0+8.2±4.1
BH slice crosscourt6%+0.5−1.2+0.4−0.2±2.8

Lean BH crosscourt: +6.5±2.6 per 100 returns v the current mix (1218 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv AlbertValue
FH through the middle48%−3.5+0.4+0.4−2.7±2.6
FH crosscourt24%−0.2+0.7+0.5+1.0±4.3
FH down the line24%−1.8+0.9+2.6+1.7±4.7
FH slice through the middle4%−12.7±0.0±0.0−12.7±1.3

Lean FH down the line: +2.8±3.9 per 100 returns v the current mix (289 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv AlbertValue
BH through the middle48%−2.9+0.6−0.3−2.6±1.8
BH crosscourt33%+1.0+1.7+0.6+3.3±2.7
BH down the line12%−0.2+0.8+1.3+1.9±4.8
FH through the middle3%−2.9−0.4+0.4−2.9±2.3
FH inside-out2%+1.0±0.0+2.6+3.5±3.5

Lean FH inside-out: +3.5±3.7 per 100 returns v the current mix (961 returns charted, inside the 90% margin)

Albert Ramos returning

1st serve to the forehand

ReturnNowTourOwnv RobertoValue
FH through the middle40%+4.3+1.2+2.6+8.1±2.2
FH crosscourt33%+5.5+3.8+4.3+13.6±3.7
FH down the line11%+1.7+1.2−1.2+1.7±3.9
FH slice through the middle7%−4.2−2.1+2.1−4.3±2.1
FH slice crosscourt5%−4.3+0.3−0.1−4.1±2.7

Lean FH crosscourt: +6.2±2.6 per 100 returns v the current mix (339 returns charted)

1st serve to the backhand

ReturnNowTourOwnv RobertoValue
BH through the middle44%+6.4±0.0+1.2+7.6±1.8
BH crosscourt18%+8.8−1.5+1.3+8.6±3.3
BH slice through the middle17%−4.2−2.1+3.1−3.2±2.2
BH down the line11%+4.2+1.6+2.2+8.0±3.8
BH slice crosscourt5%+0.5−2.2−1.3−3.0±2.9

Lean BH crosscourt: +3.8±2.9 per 100 returns v the current mix (504 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv RobertoValue
FH crosscourt47%−0.2+0.7+1.5+2.0±4.2
FH through the middle44%−3.5±0.0−0.4−3.9±2.6
FH down the line9%−1.8+0.8−1.4−2.4±4.0

Lean FH crosscourt: +3.0±2.5 per 100 returns v the current mix (129 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv RobertoValue
BH through the middle42%−2.9+0.2+2.3−0.4±1.9
BH crosscourt23%+1.0−0.8+2.5+2.7±3.1
FH through the middle14%−2.9+1.2−0.4−2.0±2.2
FH inside-in8%+0.6−0.8+1.5+1.3±4.0
BH down the line7%−0.2−1.2+0.2−1.3±3.9

Lean BH crosscourt: +2.5±2.6 per 100 returns v the current mix (314 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.

Roberto Bautista Agut

Favour

ShotEdgeOwnTheirs
FH to their forehand · serve +1+5.6±2.5+2.6+3.0
BH to their forehand · return+5.4±3.4+3.0+2.4
FH to their forehand · rally+4.4±1.7+2.9+1.5
FH to their backhand · return+4.0±3.1+1.3+2.7
BH to their forehand · rally+3.3±2.4+2.0+1.3
BH to their backhand · return+3.1±2.3+1.9+1.2

Avoid

ShotEdgeOwnTheirs
FH to the middle · return +1−2.0±2.4+0.7−2.6
BH slice to their backhand · rally−1.1±2.0+1.1−2.2
BH to the middle · serve +1−0.9±2.2+0.6−1.5
BH slice to the middle · rally−0.4±2.0+0.1−0.5
BH to their forehand · serve +1−0.3±4.6−1.4+1.1

Albert Ramos

Favour

ShotEdgeOwnTheirs
FH to their backhand · return+7.4±2.9+3.5+3.9
BH to their forehand · rally+5.0±2.4+2.6+2.4
BH slice to their forehand · rally+4.1±3.1+3.2+0.9
BH to the middle · return+3.5±1.4+1.1+2.4
FH to the middle · return+2.6±1.7±0.0+2.6
BH to their forehand · return+2.6±3.6+0.4+2.2

Avoid

ShotEdgeOwnTheirs
FH to their forehand · serve +1−3.5±2.5−3.8+0.3
BH to their forehand · serve +1−2.5±4.2−2.7+0.2
BH to their backhand · serve +1−2.3±2.7−3.4+1.1
BH slice to their backhand · rally−2.2±1.9−2.1−0.1
BH to their backhand · return +1−1.5±2.8−1.6+0.1

Against Albert Ramos-like opponents

Roberto Bautista Agut vMatchesServe pts wonReturn pts won
All charted opponents–64.6%35.0%
Players most similar to Albert Ramos3 52.9%34.0%

Similar by tactical fingerprint: Cameron Norrie, Gael Monfils, Juncheng Shang, Daniel Elahi Galan, Yoshihito Nishioka, Rafael Nadal, Federico Delbonis, Pablo Cuevas, Thomas Muster, Juan Carlos Ferrero. When two players have rarely met, their records against these lookalikes fill the gap.