RallyIQ

Game plan

Albert Ramos v Federico Delbonis

Every number combines what Albert Ramos does well with what Federico Delbonis 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 61%90%: 32%–85% · best of 5: 64%
Serve points won 63.8% / 61.6% Albert / Federico · tour 63.4%
Strengths only, no similarity priors 57%serve 63.7% / 62.2%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Albert Ramos's record against Federico Delbonis's tactical lookalikes and in their charted head-to-heads (lookalikes: +0.9 on serve, +5.5 on return vs expectation (391 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

CareerAlbertFederico
Direction choice+0.07 ±0.10
better than 76%
−0.30 ±0.16
better than 5%
Shot selection+0.07 ±0.17
better than 61%
+0.03 ±0.22
better than 56%
Execution+0.14 ±0.35
better than 74%
−1.01 ±0.49
better than 25%
Points left on the table2.58 ±0.15
lower than 50%
2.96 ±0.24
lower than 22%

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 FedericoMatchupOptimal
Wide31%68%72%67.8%±7.327% ▼
Body10%60%63%60.4%±12.10% ▼
T60%61%79%67.3%±7.473% ▲

Optimal v Federico Delbonis: +0.6±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +1.0 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowAlbert winsv FedericoMatchupOptimal
Wide60%65%78%70.3%±6.956% ▼
Body8%61%56%53.8%±12.20% ▼
T31%69%74%71.6%±7.144% ▲

Optimal v Federico Delbonis: +0.7±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +2.3 per 100 first serves in before the returner adjusts.

Federico Delbonis serving

Deuce court

1st serveNowFederico winsv AlbertMatchupOptimal
Wide32%69%74%70.6%±6.945% ▲
Body19%63%71%71.2%±9.76% ▼
T49%68%76%69.3%±6.849%

Optimal v Albert Ramos: +0.3±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving body every time would read +1.2 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowFederico winsv AlbertMatchupOptimal
Wide57%70%70%66.6%±6.758%
Body15%59%58%54.3%±11.22% ▼
T27%71%73%71.5%±7.740% ▲

Optimal v Albert Ramos: +0.7±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +5.4 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 FedericoValue
FH through the middle40%+4.3+1.2−1.1+4.3±2.8
FH crosscourt33%+5.5+3.8−0.5+8.8±4.2
FH down the line11%+1.7+1.2+0.4+3.3±4.5
FH slice through the middle7%−4.2−2.1−0.9−7.2±2.3
FH slice crosscourt5%−4.3+0.3−1.3−5.3±2.2

Lean FH crosscourt: +4.6±3.0 per 100 returns v the current mix (339 returns charted)

1st serve to the backhand

ReturnNowTourOwnv FedericoValue
BH through the middle44%+6.4±0.0+2.2+8.5±2.2
BH crosscourt18%+8.8−1.5+1.2+8.5±3.5
BH slice through the middle17%−4.2−2.1+1.3−5.1±2.5
BH down the line11%+4.2+1.6−2.4+3.4±4.6
BH slice crosscourt5%+0.5−2.2−2.1−3.8±2.8

Lean BH through the middle: +4.2±1.5 per 100 returns v the current mix (504 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv FedericoValue
FH crosscourt47%−0.2+0.7−1.7−1.2±3.9
FH through the middle44%−3.5±0.0−1.2−4.7±2.9
FH down the line9%−1.8+0.8−0.2−1.3±4.3

Lean FH crosscourt: +1.5±2.5 per 100 returns v the current mix (129 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv FedericoValue
BH through the middle42%−2.9+0.2+0.9−1.8±2.3
BH crosscourt23%+1.0−0.8−2.1−1.9±3.3
FH through the middle14%−2.9+1.2−1.2−2.8±2.4
FH inside-in8%+0.6−0.8−1.7−1.9±3.8
BH down the line7%−0.2−1.2−1.8−3.3±4.8
FH inside-out5%+1.0+0.4−0.2+1.1±3.5

Lean FH inside-out: +3.0±3.6 per 100 returns v the current mix (314 returns charted, inside the 90% margin)

Federico Delbonis returning

1st serve to the forehand

ReturnNowTourOwnv AlbertValue
FH through the middle42%+4.3−1.0−0.1+3.1±2.8
FH crosscourt27%+5.5+1.5−2.7+4.3±4.4
FH down the line14%+1.7−0.5+3.8+5.0±4.3
FH slice through the middle11%−4.2−0.5+0.6−4.1±2.2
FH slice down the line3%−4.3−0.7+0.6−4.4±2.5

Lean FH down the line: +2.6±4.1 per 100 returns v the current mix (206 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv AlbertValue
BH through the middle43%+6.4−2.8+1.7+5.4±2.2
BH slice through the middle18%−4.2−2.7+0.9−6.1±2.5
BH down the line17%+4.2−2.7+2.5+4.0±4.3
BH crosscourt13%+8.8−3.2−1.0+4.7±3.4
BH slice down the line7%−8.4−1.4+0.4−9.4±3.2

Lean BH through the middle: +3.5±1.6 per 100 returns v the current mix (363 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv AlbertValue
FH through the middle52%−3.5+0.9+0.4−2.2±2.8
FH crosscourt32%−0.2+0.7+2.6+3.1±4.4
FH down the line9%−1.8−1.4+0.5−2.7±4.0
FH slice through the middle7%−12.7−1.0±0.0−13.7±1.1

Lean FH crosscourt: +4.4±3.3 per 100 returns v the current mix (100 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv AlbertValue
BH through the middle51%−2.9+0.8−0.3−2.4±2.3
BH crosscourt17%+1.0−2.1+1.3+0.2±3.2
FH through the middle12%−2.9+1.1+0.4−1.4±2.2
BH down the line11%−0.2−1.1+0.6−0.7±4.6
FH inside-in6%+0.6+0.5+2.6+3.6±3.9

Lean BH crosscourt: +1.9±3.0 per 100 returns v the current mix (171 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 the middle · return+3.5±1.7+1.1+2.4
FH to their backhand · return+3.4±3.5+3.5−0.1
BH to their forehand · rally+3.0±2.9+2.6+0.4
BH to the middle · serve +1+3.0±2.6+1.0+2.0
FH to their backhand · rally+2.7±1.9+2.1+0.5
FH to their backhand · return +1+1.8±3.5+1.9−0.1

Avoid

ShotEdgeOwnTheirs
BH slice to their backhand · rally−6.3±2.5−2.1−4.2
FH to their forehand · serve +1−4.1±3.2−3.8−0.3
BH to their backhand · rally−4.0±2.2−1.6−2.5
FH to their backhand · serve +1−3.6±2.7−0.9−2.7
FH to their forehand · return +1−3.2±4.2−2.6−0.6

Federico Delbonis

Favour

ShotEdgeOwnTheirs
FH to their backhand · return+3.7±3.6+1.1+2.7
BH to their forehand · return +1+3.6±4.6+3.9−0.3
FH to their backhand · serve +1+3.3±2.6+2.4+0.9
FH to their backhand · return +1+2.3±3.4+1.1+1.3
FH to their backhand · rally+1.9±1.8+1.4+0.6
BH to the middle · return+0.8±1.8−1.1+1.9

Avoid

ShotEdgeOwnTheirs
BH slice to their backhand · rally−4.8±2.6−2.5−2.2
FH to the middle · return +1−4.1±2.7−1.4−2.6
BH to the middle · serve +1−2.5±2.5−1.0−1.5
BH to their backhand · return−2.5±3.1−3.7+1.2
FH to their forehand · return +1−2.4±4.3−3.8+1.4

Against Federico Delbonis-like opponents

Albert Ramos vMatchesServe pts wonReturn pts won
All charted opponents–58.7%35.3%
Players most similar to Federico Delbonis2 64.1%41.1%

Similar by tactical fingerprint: Cameron Norrie, Juncheng Shang, Thiago Monteiro, Mattia Bellucci, Daniel Elahi Galan, Yoshihito Nishioka, Cristian Garin, Dominik Koepfer, Pablo Cuevas. When two players have rarely met, their records against these lookalikes fill the gap.