RallyIQ

Game plan

Federico Delbonis v Albert Ramos

Every number combines what Federico Delbonis 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

Federico Delbonis wins, best of 3 31%90%: 10%–61% · best of 5: 27%
Serve points won 60.2% / 64.1% Federico / Albert · tour 63.8%
Strengths only, no similarity priors 33%serve 60.6% / 64.0%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Federico Delbonis's record against Albert Ramos's tactical lookalikes and in their charted head-to-heads (lookalikes: −12.8 on serve, −6.9 on return vs expectation (84 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

CareerFedericoAlbert
Direction choice−0.30 ±0.16
better than 5%
+0.07 ±0.10
better than 76%
Shot selection+0.03 ±0.22
better than 56%
+0.07 ±0.17
better than 61%
Execution−1.01 ±0.49
better than 25%
+0.14 ±0.35
better than 74%
Points left on the table2.96 ±0.24
lower than 22%
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.

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.

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.

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.

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.

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)

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)

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 on hard. Each player's hard record is shrunk toward their all-surface one, so a thin sample on it moves the numbers only a little.

Federico Delbonis

Favour

ShotEdgeOwnTheirs
FH to their backhand · serve +1+6.4±4.5+3.5+3.0
FH to their backhand · return+5.7±5.5+3.4+2.3
BH to the middle · return+3.7±2.9−0.4+4.1
FH to their backhand · return +1+3.0±5.3+2.8+0.3
BH to their forehand · return +1+3.0±6.8+5.7−2.7
FH to their backhand · rally+1.5±3.2+1.5−0.1

Avoid

ShotEdgeOwnTheirs
FH to the middle · return +1−6.6±4.0−2.9−3.7
BH slice to their backhand · rally−5.8±3.7−1.6−4.2
FH to their forehand · return +1−4.2±6.3−5.8+1.6
BH slice to the middle · rally−2.9±3.3−1.7−1.1
FH to their forehand · rally−2.2±4.2−0.7−1.5

Albert Ramos

Favour

ShotEdgeOwnTheirs
BH to the middle · return+6.6±2.9+1.9+4.7
FH to their backhand · rally+6.0±3.4+3.3+2.7
BH to the middle · serve +1+5.5±3.8+2.8+2.6
FH to their backhand · return+4.8±5.5+4.1+0.8
BH to their forehand · rally+4.8±4.7+4.4+0.4
BH to their backhand · return+3.5±4.8+0.1+3.4

Avoid

ShotEdgeOwnTheirs
BH to their backhand · rally−8.0±3.7−3.2−4.8
BH slice to their backhand · rally−6.8±3.6−1.1−5.7
FH to their forehand · serve +1−4.6±5.1−4.3−0.3
FH to their backhand · serve +1−4.5±4.6−0.2−4.3
BH to their forehand · serve +1−3.8±6.7−2.0−1.8

Against Albert Ramos-like opponents

Federico Delbonis vMatchesServe pts wonReturn pts won
All charted opponents–60.8%32.5%
Players most similar to Albert Ramos1 43.5%23.7%

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