RallyIQ

Game plan

Guido Pella v Albert Ramos

Every number combines what Guido Pella 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

Guido Pella wins, best of 3 61%90%: 32%–84% · best of 5: 63%
Serve points won 62.3% / 60.2% Guido / Albert · tour 63.4%
Strengths only, no similarity priors 59%serve 62.9% / 61.2%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Guido Pella's record against Albert Ramos's tactical lookalikes and in their charted head-to-heads (lookalikes: −11.9 on serve, +9.7 on return vs expectation (262 points); head-to-head: +9.6 on serve, +4.4 on return vs expectation (150 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

CareerGuidoAlbert
Direction choice−0.12 ±0.12
better than 27%
+0.07 ±0.10
better than 76%
Shot selection+0.17 ±0.20
better than 71%
+0.07 ±0.17
better than 61%
Execution−0.13 ±0.51
better than 60%
+0.14 ±0.35
better than 74%
Points left on the table2.77 ±0.15
lower than 33%
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.

Guido Pella serving

Deuce court

1st serveNowGuido winsv AlbertMatchupOptimal
Wide35%66%74%67.8%±6.835%
Body10%67%71%74.7%±9.924% ▲
T54%68%76%69.6%±6.641% ▼

Optimal v Albert Ramos: +0.1±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving body every time would read +5.2 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowGuido winsv AlbertMatchupOptimal
Wide50%67%70%63.5%±6.844% ▼
Body8%66%58%61.5%±12.40% ▼
T43%71%73%71.7%±6.856% ▲

Optimal v Albert Ramos: +0.5±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. 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 GuidoMatchupOptimal
Wide31%68%76%72.1%±6.944% ▲
Body10%60%59%56.4%±12.80% ▼
T60%61%74%60.3%±6.956% ▼

Optimal v Guido Pella: +0.7±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +8.6 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowAlbert winsv GuidoMatchupOptimal
Wide60%65%68%59.5%±7.047% ▼
Body8%61%64%61.6%±12.79%
T31%69%70%67.0%±7.444% ▲

Optimal v Guido Pella: +0.4±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +5.0 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.

Guido Pella returning

1st serve to the forehand

ReturnNowTourOwnv AlbertValue
FH through the middle48%+4.3+1.8−0.1+5.9±2.7
FH crosscourt17%+5.5+2.1−2.7+4.9±4.4
FH slice through the middle13%−4.2+2.5+0.6−1.1±2.3
FH down the line13%+1.7−0.9+3.8+4.6±4.4
FH slice crosscourt5%−4.3−0.1±0.0−4.4±1.7

Lean FH through the middle: +2.1±1.7 per 100 returns v the current mix (286 returns charted)

1st serve to the backhand

ReturnNowTourOwnv AlbertValue
BH through the middle38%+6.4−1.4+1.7+6.8±2.2
BH slice through the middle26%−4.2−0.6+0.9−3.9±2.4
BH crosscourt15%+8.8−1.4−1.0+6.5±3.4
BH down the line9%+4.2+0.4+2.5+7.1±4.3
BH slice down the line6%−8.4+0.5+0.4−7.5±3.2

Lean BH down the line: +4.3±4.1 per 100 returns v the current mix (388 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv AlbertValue
FH through the middle54%−3.5+0.4+0.4−2.7±2.8
FH crosscourt28%−0.2+2.7+2.6+5.0±4.4
FH down the line19%−1.8+0.8+0.5−0.5±4.5

Lean FH crosscourt: +5.2±3.6 per 100 returns v the current mix (112 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv AlbertValue
BH through the middle47%−2.9+0.8−0.3−2.4±2.3
BH crosscourt43%+1.0+1.0+1.3+3.3±3.3
BH down the line5%−0.2−0.1+0.6+0.3±4.2
FH through the middle5%−2.9+0.7+0.4−1.8±2.0

Lean BH crosscourt: +3.1±2.2 per 100 returns v the current mix (180 returns charted)

Albert Ramos returning

1st serve to the forehand

ReturnNowTourOwnv GuidoValue
FH through the middle40%+4.3+1.2+1.3+6.7±2.8
FH crosscourt33%+5.5+3.8+1.7+11.0±4.3
FH down the line11%+1.7+1.2+3.0+5.9±4.5
FH slice through the middle7%−4.2−2.1−0.2−6.5±2.3
FH slice crosscourt5%−4.3+0.3−0.5−4.5±2.1

Lean FH crosscourt: +4.8±3.1 per 100 returns v the current mix (339 returns charted)

1st serve to the backhand

ReturnNowTourOwnv GuidoValue
BH through the middle44%+6.4±0.0+0.9+7.2±2.3
BH crosscourt18%+8.8−1.5+0.6+7.9±3.4
BH slice through the middle17%−4.2−2.1+1.8−4.5±2.5
BH down the line11%+4.2+1.6+1.0+6.8±4.6
BH slice crosscourt5%+0.5−2.2−1.8−3.5±2.9

Lean BH crosscourt: +3.6±3.0 per 100 returns v the current mix (504 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv GuidoValue
FH crosscourt47%−0.2+0.7+1.1+1.6±4.4
FH through the middle44%−3.5±0.0+1.0−2.5±2.8
FH down the line9%−1.8+0.8+1.3+0.3±4.3

Lean FH crosscourt: +1.9±2.7 per 100 returns v the current mix (129 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv GuidoValue
BH through the middle42%−2.9+0.2+0.3−2.4±2.4
BH crosscourt23%+1.0−0.8+0.8+1.0±3.2
FH through the middle14%−2.9+1.2+1.0−0.7±2.3
FH inside-in8%+0.6−0.8+1.1+0.9±4.3
BH down the line7%−0.2−1.2−0.8−2.2±4.8
FH inside-out5%+1.0+0.4+1.3+2.6±3.5

Lean FH inside-out: +3.4±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.

Guido Pella

Favour

ShotEdgeOwnTheirs
FH to their backhand · return+5.5±3.7+2.8+2.7
BH to the middle · return+2.8±1.8+0.9+1.9
BH to their forehand · return+2.4±3.8+0.1+2.4
BH to their forehand · rally+2.1±2.6+0.8+1.3
BH slice to the middle · return+2.0±2.4+0.5+1.6
BH to their forehand · serve +1+1.8±4.5+0.7+1.1

Avoid

ShotEdgeOwnTheirs
BH slice to their backhand · rally−5.7±2.5−3.4−2.2
FH to the middle · return +1−2.4±2.7+0.2−2.6
BH slice to the middle · rally−1.7±2.3−1.2−0.5
FH to their forehand · return +1−1.6±4.2−3.1+1.4
FH to their backhand · serve +1−0.9±2.7−1.7+0.9

Albert Ramos

Favour

ShotEdgeOwnTheirs
FH to their backhand · return+6.0±3.5+3.5+2.5
BH slice to their forehand · rally+3.9±3.4+3.2+0.7
FH to their backhand · return +1+3.8±3.4+1.9+1.9
FH to their backhand · rally+3.7±1.7+2.1+1.6
BH to the middle · return+3.3±1.9+1.1+2.2
BH to their backhand · return+2.3±3.2−0.2+2.5

Avoid

ShotEdgeOwnTheirs
BH slice to their backhand · rally−4.0±2.5−2.1−1.9
FH to their forehand · serve +1−3.1±3.0−3.8+0.8
BH to their backhand · rally−2.8±2.1−1.6−1.2
BH to their backhand · return +1−2.7±3.5−1.6−1.1
FH to their forehand · return +1−2.4±4.1−2.6+0.2

Against Albert Ramos-like opponents

Guido Pella vMatchesServe pts wonReturn pts won
All charted opponents–60.9%37.6%
Players most similar to Albert Ramos2 45.2%42.5%
Albert Ramos (charted head-to-head)1 72.6%43.2%

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.

Charted head-to-head