RallyIQ

Game plan

Guillermo Canas v Jaume Munar

Every number combines what Guillermo Canas does well with what Jaume Munar allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Guillermo Canas wins, best of 3 39%90%: 11%–75% · best of 5: 37%
Serve points won 62.8% / 65.0% Guillermo / Jaume · tour 65.7%
Strengths only, no similarity priors 39%serve 62.7% / 64.9%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Guillermo Canas's record against Jaume Munar's tactical lookalikes and in their charted head-to-heads (lookalikes: +1.9 on serve, −1.4 on return vs expectation (164 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

CareerGuillermoJaume
Direction choice−0.13 ±0.13
better than 23%
−0.01 ±0.08
better than 53%
Shot selection−0.02 ±0.24
better than 50%
−0.31 ±0.21
better than 22%
Execution+0.01 ±0.49
better than 68%
+0.60 ±0.36
better than 86%
Points left on the table2.57 ±0.12
lower than 53%
2.55 ±0.11
lower than 55%

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.

Guillermo Canas serving

Deuce court

1st serveNowGuillermo winsv JaumeMatchupOptimal
Wide44%66%72%65.3%±8.344%
Body13%56%54%47.1%±13.20% ▼
T43%77%71%74.2%±8.656% ▲

Optimal v Jaume Munar: +1.0±1.0 per 100 first serves (faults included) over the current mix. Serving T every time would read +7.4 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowGuillermo winsv JaumeMatchupOptimal
Wide39%69%70%65.5%±9.252% ▲
Body8%67%63%67.7%±14.40% ▼
T54%68%69%64.9%±9.148% ▼

Optimal v Jaume Munar: +0.2±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving body every time would read +2.3 per 100 first serves in before the returner adjusts.

Jaume Munar serving

Deuce court

1st serveNowJaume winsv GuillermoMatchupOptimal
Wide55%68%76%71.7%±7.851% ▼
Body10%65%64%66.6%±13.10% ▼
T35%73%79%77.0%±7.949% ▲

Optimal v Guillermo Canas: +0.5±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +3.9 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowJaume winsv GuillermoMatchupOptimal
Wide51%68%71%66.2%±8.251%
Body14%64%71%72.0%±12.11% ▼
T35%66%73%66.7%±9.248% ▲

Optimal v Guillermo Canas: +0.1±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving body every time would read +4.8 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.

Guillermo Canas returning

1st serve to the forehand

ReturnNowTourOwnv JaumeValue
FH through the middle53%+4.3−0.8+1.2+4.7±2.6
FH down the line28%+1.7+1.0+0.3+3.0±4.1
FH crosscourt19%+5.5+1.9+2.3+9.8±3.8

Lean FH crosscourt: +4.6±3.6 per 100 returns v the current mix (102 returns charted)

1st serve to the backhand

ReturnNowTourOwnv JaumeValue
BH through the middle44%+6.4−2.2−0.8+3.5±2.5
BH crosscourt26%+8.8−0.5+0.3+8.6±3.2
BH slice through the middle12%−4.2−1.4−1.1−6.7±2.3
BH down the line9%+4.2±0.0+1.6+5.8±4.0
BH slice crosscourt9%+0.5−1.0−1.9−2.4±2.6

Lean BH crosscourt: +5.4±2.7 per 100 returns v the current mix (123 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv JaumeValue
BH through the middle61%−2.9−2.4−1.6−6.9±2.4
BH crosscourt29%+1.0−0.5−1.1−0.5±3.0
BH down the line10%−0.2+1.7+3.3+4.8±4.5

Lean BH crosscourt: +3.4±2.6 per 100 returns v the current mix (124 returns charted)

Jaume Munar returning

1st serve to the forehand

ReturnNowTourOwnv GuillermoValue
FH through the middle44%+4.3−0.4+1.7+5.5±2.7
FH slice through the middle22%−4.2+0.7±0.0−3.5±1.4
FH down the line13%+1.7−0.2+0.7+2.1±4.4
FH crosscourt11%+5.5+2.3−1.7+6.0±4.2
FH slice down the line7%−4.3+1.8±0.0−2.4±2.3

Lean FH crosscourt: +3.7±3.9 per 100 returns v the current mix (701 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv GuillermoValue
BH through the middle42%+6.4+2.3+1.9+10.6±2.5
BH crosscourt27%+8.8+1.2+0.3+10.3±3.1
BH slice through the middle13%−4.2−0.1−1.6−5.8±2.3
BH down the line10%+4.2+1.9−1.0+5.2±4.3
BH slice crosscourt6%+0.5−1.6+1.8+0.8±2.7

Lean BH through the middle: +3.7±1.8 per 100 returns v the current mix (760 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv GuillermoValue
FH through the middle44%−3.5+2.5+0.7−0.2±2.8
FH crosscourt25%−0.2+0.4−0.5−0.3±4.1
FH down the line21%−1.8+0.8−1.2−2.2±4.3
FH slice through the middle6%−12.7+0.8±0.0−11.9±1.3
FH slice down the line4%−9.4+0.6±0.0−8.8±1.4

Lean FH through the middle: +1.5±2.1 per 100 returns v the current mix (170 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv GuillermoValue
BH through the middle47%−2.9−0.7+0.3−3.3±2.3
BH crosscourt29%+1.0+1.3+0.4+2.7±3.1
BH down the line13%−0.2+2.2+1.1+3.0±4.2
FH through the middle6%−2.9−1.1+0.7−3.3±2.3
FH inside-in3%+0.6−0.1−0.5±0.0±3.7

Lean BH down the line: +3.6±4.0 per 100 returns v the current mix (456 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 grass. Each player's grass record is shrunk toward their all-surface one, so a thin sample on it moves the numbers only a little.

Guillermo Canas

Favour

ShotEdgeOwnTheirs
FH to their forehand · rally+5.1±3.9+1.4+3.7
FH to their backhand · rally+4.0±3.7+0.5+3.5
FH to their forehand · return +1+3.5±3.8+2.0+1.4
FH to their forehand · serve +1+1.9±4.1+2.4−0.5
FH to the middle · rally+1.5±2.7+0.6+0.9
BH to the middle · rally+0.7±2.4+0.7±0.0

Avoid

ShotEdgeOwnTheirs
FH to their backhand · serve +1−3.2±4.1−0.2−3.0
BH to their backhand · return−2.5±3.9−1.0−1.5
BH to the middle · return−2.3±2.8−2.4±0.0
BH to their backhand · rally−1.7±3.2−1.3−0.4
FH to the middle · return+0.4±3.2−0.4+0.8

Jaume Munar

Favour

ShotEdgeOwnTheirs
FH to their forehand · serve +1+9.0±4.5+5.2+3.9
BH to their backhand · rally+4.9±3.0+2.9+2.0
BH to their backhand · return +1+3.8±3.1+1.7+2.0
FH to the middle · return+3.4±3.1+1.2+2.1
BH to their forehand · rally+2.5±4.6+1.6+0.8
BH to their backhand · return+1.2±3.9+1.4−0.2

Avoid

ShotEdgeOwnTheirs
FH to their forehand · rally−3.2±3.9−2.7−0.6
FH to their backhand · serve +1−1.7±4.3−3.6+1.8
BH to the middle · return−1.7±3.0−2.7+1.0
BH to the middle · rally−0.4±2.5+1.4−1.7
FH to the middle · rally+0.6±2.7+1.1−0.5

Against Jaume Munar-like opponents

Guillermo Canas vMatchesServe pts wonReturn pts won
All charted opponents–60.1%31.6%
Players most similar to Jaume Munar1 58.0%30.2%

Similar by tactical fingerprint: Brandon Nakashima, Novak Djokovic, Jenson Brooksby, Karen Khachanov, Pablo Carreno Busta, Andy Murray, Bernabe Zapata Miralles, Mikhail Kukushkin, Carlos Berlocq, Guillermo Coria. When two players have rarely met, their records against these lookalikes fill the gap.