RallyIQ

Game plan

Marcel Granollers v Camilo Ugo Carabelli

Every number combines what Marcel Granollers does well with what Camilo Ugo Carabelli allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Marcel Granollers wins, best of 3 38%90%: 11%–74% · best of 5: 35%
Serve points won 54.5% / 56.9% Marcel / Camilo · tour 61.3%
Strengths only, no similarity priors 38%serve 54.5% / 56.9%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Marcel Granollers's record against Camilo Ugo Carabelli's tactical lookalikes and in their charted head-to-heads. 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

CareerMarcelCamilo
Direction choice−0.15 ±0.22
better than 20%
−0.26 ±0.08
better than 7%
Shot selection−0.52 ±0.36
better than 11%
−0.62 ±0.47
better than 8%
Execution−0.26 ±0.54
better than 55%
−0.37 ±0.45
better than 50%
Points left on the table2.75 ±0.26
lower than 35%
2.74 ±0.12
lower than 36%

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.

Marcel Granollers serving

Deuce court

1st serveNowMarcel winsv CamiloMatchupOptimal
Wide49%69%70%64.9%±9.836% ▼
Body16%66%67%69.3%±13.317%
T34%74%74%73.3%±9.747% ▲

Optimal v Camilo Ugo Carabelli: +0.5±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +4.8 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowMarcel winsv CamiloMatchupOptimal
Wide30%77%67%71.9%±11.129%
Body18%56%58%50.7%±15.75% ▼
T53%72%71%71.4%±10.066% ▲

Optimal v Camilo Ugo Carabelli: +0.7±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +4.0 per 100 first serves in before the returner adjusts.

Camilo Ugo Carabelli serving

Deuce court

1st serveNowCamilo winsv MarcelMatchupOptimal
Wide31%75%73%74.7%±9.344% ▲
Body28%62%67%65.0%±12.715% ▼
T41%68%76%69.7%±9.841%

Optimal v Marcel Granollers: +0.5±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +4.8 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowCamilo winsv MarcelMatchupOptimal
Wide33%68%66%60.0%±11.234%
Body14%59%63%59.4%±14.41% ▼
T52%67%70%65.1%±10.565% ▲

Optimal v Marcel Granollers: +0.4±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +2.5 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.

Marcel Granollers returning

1st serve to the forehand

ReturnNowTourOwnv CamiloValue
FH through the middle45%+4.3+1.6−0.3+5.6±3.0
FH slice through the middle23%−4.2+3.9−0.4−0.7±2.1
FH crosscourt13%+5.5−3.4+2.2+4.3±4.1
FH down the line13%+1.7+0.4+0.3+2.4±4.2
FH slice down the line7%−4.3+3.6−1.3−2.0±2.3

Lean FH through the middle: +2.5±1.9 per 100 returns v the current mix (128 returns charted)

1st serve to the backhand

ReturnNowTourOwnv CamiloValue
BH through the middle45%+6.4+0.2−1.0+5.6±2.8
BH crosscourt20%+8.8+0.7−0.9+8.5±3.5
BH slice through the middle14%−4.2+0.6−1.3−4.9±2.1
BH down the line10%+4.2+0.8−1.4+3.6±4.1
BH slice crosscourt5%+0.5−1.0−0.6−1.0±2.2

Lean BH crosscourt: +5.1±3.1 per 100 returns v the current mix (134 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv CamiloValue
BH through the middle61%−2.9−0.9+0.6−3.1±2.6
BH crosscourt32%+1.0+1.9−0.9+2.1±3.2
BH down the line8%−0.2+0.4−0.7−0.5±3.8

Lean BH crosscourt: +3.3±2.7 per 100 returns v the current mix (66 returns charted)

Camilo Ugo Carabelli returning

1st serve to the forehand

ReturnNowTourOwnv MarcelValue
FH through the middle39%+4.3±0.0+1.8+6.0±3.0
FH slice through the middle25%−4.2−1.2−0.4−5.8±2.1
FH down the line15%+1.7−2.2+0.7+0.2±4.3
FH crosscourt9%+5.5+0.1+0.5+6.2±3.9
FH slice down the line8%−4.3−1.2−2.6−8.0±2.4

Lean FH through the middle: +5.2±2.1 per 100 returns v the current mix (137 returns charted)

1st serve to the backhand

ReturnNowTourOwnv MarcelValue
BH through the middle42%+6.4+1.5−1.3+6.6±2.8
BH crosscourt27%+8.8+0.5−0.1+9.1±3.3
BH down the line21%+4.2−0.4−0.7+3.0±4.2
BH slice down the line3%−8.4+0.2±0.0−8.2±1.6
BH slice through the middle3%−4.2+0.4+0.3−3.5±1.8

Lean BH crosscourt: +3.7±2.8 per 100 returns v the current mix (172 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv MarcelValue
FH through the middle65%−3.5−0.6−0.6−4.7±2.9
FH down the line19%−1.8+0.2−0.5−2.1±3.9
FH crosscourt16%−0.2+0.9+0.3+1.0±3.6

Lean FH through the middle: −1.4±1.4 per 100 returns v the current mix (43 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv MarcelValue
BH crosscourt33%+1.0±0.0+1.3+2.3±3.2
BH through the middle22%−2.9−2.0+0.7−4.1±2.5
FH through the middle19%−2.9+0.2−0.6−3.2±2.3
FH inside-out18%+1.0+1.0−0.5+1.5±3.4
BH down the line7%−0.2−3.6+0.5−3.4±4.0

Lean BH crosscourt: +3.1±2.4 per 100 returns v the current mix (94 returns charted)

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

Marcel Granollers

Favour

ShotEdgeOwnTheirs
FH to the middle · return+2.2±3.1+2.2±0.0
FH to the middle · rally+1.6±3.0+1.3+0.3
BH to their backhand · return+1.2±3.6+1.2±0.0
BH to the middle · return−0.6±2.8−1.4+0.7
FH to their forehand · serve +1−1.2±4.9+0.6−1.8
FH to their forehand · rally−1.2±3.4−0.1−1.1

Avoid

ShotEdgeOwnTheirs
FH to their backhand · rally−3.9±3.4−1.3−2.5
BH to their backhand · serve +1−2.4±4.1−0.4−2.0
BH to their backhand · rally−1.4±2.4−0.3−1.1
BH to the middle · rally−1.3±2.5±0.0−1.3
FH to their forehand · rally−1.2±3.4−0.1−1.1

Camilo Ugo Carabelli

Favour

ShotEdgeOwnTheirs
FH to their forehand · rally+3.7±3.6+2.7+1.0
BH to the middle · return+3.5±3.0+4.0−0.5
BH slice to their backhand · rally+3.0±2.9+1.9+1.1
FH to the middle · rally+2.2±2.7+2.3−0.1
FH to their forehand · serve +1+2.2±5.3+1.0+1.2
BH to their backhand · rally+1.8±2.7+1.2+0.6

Avoid

ShotEdgeOwnTheirs
FH to their backhand · return−2.3±4.9−2.7+0.4
FH to their backhand · serve +1+0.4±4.0+1.3−0.9
FH to the middle · return+1.0±3.0+0.3+0.6
FH to their backhand · rally+1.1±3.1+0.9+0.3
BH to the middle · rally+1.6±2.5+2.2−0.6

Against Camilo Ugo Carabelli-like opponents

Marcel Granollers vMatchesServe pts wonReturn pts won
All charted opponents–58.8%36.1%

Similar by tactical fingerprint: Jesper De Jong, Tomas Martin Etcheverry, Alex De Minaur, Botic Van De Zandschulp, Miomir Kecmanovic, Taro Daniel, Emil Ruusuvuori, Juan Martin Del Potro, David Ferrer, Guillermo Canas. When two players have rarely met, their records against these lookalikes fill the gap.