RallyIQ

Game plan

Jaume Munar v Karue Sell

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

Forecast

Jaume Munar wins, best of 3 48%90%: 16%–82% · best of 5: 48%
Serve points won 62.9% / 63.2% Jaume / Karue · tour 65.7%
Strengths only, no similarity priors 48%serve 62.9% / 63.2%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Jaume Munar's record against Karue Sell'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

CareerJaumeKarue
Direction choice−0.01 ±0.08
better than 53%
+0.13 ±0.07
better than 87%
Shot selection−0.31 ±0.21
better than 22%
+0.64 ±0.22
better than 97%
Execution+0.60 ±0.36
better than 86%
−1.33 ±0.41
better than 15%
Points left on the table2.55 ±0.11
lower than 55%
2.20 ±0.12
lower than 93%

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.

Jaume Munar serving

Deuce court

1st serveNowJaume winsv KarueMatchupOptimal
Wide55%68%72%66.6%±8.251% ▼
Body10%65%56%58.7%±11.60% ▼
T35%73%77%74.9%±9.349% ▲

Optimal v Karue Sell: +0.5±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +6.1 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowJaume winsv KarueMatchupOptimal
Wide51%68%65%59.3%±9.538% ▼
Body14%64%65%66.4%±12.227% ▲
T35%66%62%54.8%±9.535%

Optimal v Karue Sell: +0.3±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving body every time would read +7.6 per 100 first serves in before the returner adjusts.

Karue Sell serving

Deuce court

1st serveNowKarue winsv JaumeMatchupOptimal
Wide58%69%72%67.7%±7.655% ▼
Body10%62%54%53.5%±14.10% ▼
T32%79%71%75.9%±9.245% ▲

Optimal v Jaume Munar: +1.0±0.9 per 100 first serves (faults included) over the current mix. Serving T every time would read +7.1 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowKarue winsv JaumeMatchupOptimal
Wide43%74%70%70.7%±8.844%
Body16%63%63%63.1%±12.53% ▼
T40%68%69%65.6%±9.953% ▲

Optimal v Jaume Munar: +0.4±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.3 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.

Jaume Munar returning

1st serve to the forehand

ReturnNowTourOwnv KarueValue
FH through the middle44%+4.3−0.4−0.3+3.6±2.7
FH slice through the middle22%−4.2+0.7−1.5−5.0±2.0
FH down the line13%+1.7−0.2+0.2+1.6±4.3
FH crosscourt11%+5.5+2.3−0.6+7.2±4.3
FH slice down the line7%−4.3+1.8±0.0−2.4±2.3

Lean FH crosscourt: +6.0±4.0 per 100 returns v the current mix (701 returns charted)

1st serve to the backhand

ReturnNowTourOwnv KarueValue
BH through the middle42%+6.4+2.3+0.8+9.5±2.5
BH crosscourt27%+8.8+1.2−0.6+9.4±3.1
BH slice through the middle13%−4.2−0.1−0.5−4.7±2.0
BH down the line10%+4.2+1.9−1.6+4.5±4.4
BH slice crosscourt6%+0.5−1.6±0.0−1.1±2.2

Lean BH through the middle: +3.4±1.7 per 100 returns v the current mix (760 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv KarueValue
FH through the middle44%−3.5+2.5−0.9−1.8±2.9
FH crosscourt25%−0.2+0.4−1.9−1.7±4.1
FH down the line21%−1.8+0.8−1.1−2.1±4.5
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 crosscourt: +1.0±3.4 per 100 returns v the current mix (170 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv KarueValue
BH through the middle47%−2.9−0.7−0.4−4.0±2.3
BH crosscourt29%+1.0+1.3−0.2+2.1±3.1
BH down the line13%−0.2+2.2+0.2+2.2±4.4
FH through the middle6%−2.9−1.1−0.9−4.9±2.4
FH inside-in3%+0.6−0.1−1.9−1.4±3.7

Lean BH down the line: +3.5±4.1 per 100 returns v the current mix (456 returns charted, inside the 90% margin)

Karue Sell returning

1st serve to the forehand

ReturnNowTourOwnv JaumeValue
FH through the middle53%+4.3−0.5+1.2+5.0±2.6
FH down the line26%+1.7−0.8+0.3+1.2±4.2
FH crosscourt22%+5.5+0.9+2.3+8.7±3.9

Lean FH crosscourt: +3.9±3.5 per 100 returns v the current mix (120 returns charted)

1st serve to the backhand

ReturnNowTourOwnv JaumeValue
BH through the middle41%+6.4−2.0−0.8+3.6±2.4
BH crosscourt31%+8.8−0.1+0.3+9.1±3.2
BH down the line14%+4.2−0.2+1.6+5.6±4.0
BH slice through the middle8%−4.2−0.4−1.1−5.7±2.1
BH slice crosscourt6%+0.5−1.7−1.9−3.1±2.4

Lean BH crosscourt: +4.6±2.5 per 100 returns v the current mix (86 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv JaumeValue
BH through the middle47%−2.9−1.0−1.6−5.6±2.4
BH crosscourt35%+1.0−0.8−1.1−0.8±3.0
BH down the line18%−0.2−2.1+3.3+0.9±4.5

Lean BH crosscourt: +1.9±2.3 per 100 returns v the current mix (68 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.

Jaume Munar

Favour

ShotEdgeOwnTheirs
BH to their backhand · rally+4.5±3.0+2.9+1.6
FH to their forehand · serve +1+4.4±4.5+5.2−0.8
BH to their backhand · serve +1+3.6±3.1+2.5+1.1
FH to their backhand · rally+2.4±3.9+1.9+0.5
BH slice to their backhand · rally+1.7±2.7+1.2+0.5
FH to the middle · rally+1.5±2.7+1.1+0.4

Avoid

ShotEdgeOwnTheirs
FH to their backhand · serve +1−3.9±4.3−3.6−0.3
FH to their forehand · rally−2.9±3.9−2.7−0.2
BH to the middle · return−2.2±3.0−2.7+0.4
BH to their forehand · rally−0.7±4.6+1.6−2.3
BH to their backhand · return+0.2±3.9+1.4−1.3

Karue Sell

Favour

ShotEdgeOwnTheirs
FH to their forehand · rally+4.0±3.9+0.3+3.7
FH to their forehand · return +1+2.7±3.8+1.3+1.4
FH to the middle · rally+2.6±2.8+1.7+0.9
FH to their backhand · rally+2.2±3.7−1.2+3.5
FH to their forehand · return+2.1±5.0+0.3+1.9
BH to their forehand · rally+1.8±3.8−0.7+2.5

Avoid

ShotEdgeOwnTheirs
FH to their backhand · serve +1−4.1±4.2−1.1−3.0
BH to their backhand · return−2.3±3.8−0.9−1.5
FH to their forehand · serve +1−1.9±4.2−1.3−0.5
BH to the middle · return−1.8±2.9−1.8±0.0
BH to their backhand · serve +1−1.5±3.7−0.7−0.8

Against Karue Sell-like opponents

Jaume Munar vMatchesServe pts wonReturn pts won
All charted opponents–60.1%37.4%

Similar by tactical fingerprint: Valentin Vacherot, Frances Tiafoe, Tommy Paul, Nishesh Basavareddy, Roman Safiullin, Tomas Berdych, Arnaud Clement, Thomas Johansson, Magnus Norman. When two players have rarely met, their records against these lookalikes fill the gap.