RallyIQ

Game plan

Jaume Munar v Jack Draper

Every number combines what Jaume Munar does well with what Jack Draper 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 17%90%: 3%–52% · best of 5: 12%
Serve points won 62.3% / 70.1% Jaume / Jack · tour 65.7%
Strengths only, no similarity priors 17%serve 62.1% / 69.9%

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. Both were charted enough in the last three seasons, so those carry the most weight. The result is then nudged by Jaume Munar's record against Jack Draper's tactical lookalikes and in their charted head-to-heads (lookalikes: +1.1 on serve, −1.1 on return vs expectation (584 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

CareerJaumeJack
Direction choice−0.01 ±0.08
better than 53%
+0.10 ±0.07
better than 81%
Shot selection−0.31 ±0.21
better than 22%
+0.26 ±0.13
better than 77%
Execution+0.60 ±0.36
better than 86%
+1.21 ±0.65
better than 98%
Points left on the table2.55 ±0.11
lower than 55%
2.75 ±0.11
lower than 35%

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.

Structural compatibility

Expected edge per 100 rally shots from style alone: Jaume Munar +1.53, Jack Draper +1.89. Each player's shot mix weighted by their own skill with each shot and by how much the other gives up against it. This is why some rankings gaps don't hold in a given matchup.

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 JackMatchupOptimal
Wide55%68%72%66.7%±4.968% ▲
Body10%65%62%64.0%±11.20% ▼
T35%73%71%69.5%±6.032% ▼

Optimal v Jack Draper: +0.3±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +2.0 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowJaume winsv JackMatchupOptimal
Wide51%68%75%69.7%±5.538% ▼
Body14%64%66%67.3%±10.327% ▲
T35%66%71%64.5%±6.035%

Optimal v Jack Draper: +0.2±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +2.1 per 100 first serves in before the returner adjusts.

Jack Draper serving

Deuce court

1st serveNowJack winsv JaumeMatchupOptimal
Wide41%71%72%70.6%±5.536% ▼
Body5%60%54%50.9%±12.20% ▼
T54%73%71%69.5%±5.364% ▲

Optimal v Jaume Munar: +0.3±0.5 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +1.5 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowJack winsv JaumeMatchupOptimal
Wide51%76%70%73.7%±4.864% ▲
Body6%65%63%65.1%±11.60% ▼
T43%73%69%70.4%±6.036% ▼

Optimal v Jaume Munar: +0.6±0.6 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +1.9 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 JackValue
FH through the middle44%+4.3−0.4+2.1+5.9±2.4
FH slice through the middle22%−4.2+0.7±0.0−3.6±2.2
FH down the line13%+1.7−0.2+0.9+2.3±4.4
FH crosscourt11%+5.5+2.3+2.4+10.2±4.3
FH slice down the line7%−4.3+1.8+0.6−1.8±3.1

Lean FH crosscourt: +7.2±4.0 per 100 returns v the current mix (701 returns charted)

1st serve to the backhand

ReturnNowTourOwnv JackValue
BH through the middle42%+6.4+2.3+1.9+10.6±2.1
BH crosscourt27%+8.8+1.2+1.2+11.1±3.1
BH slice through the middle13%−4.2−0.1−0.8−5.0±2.4
BH down the line10%+4.2+1.9−0.2+5.9±4.5
BH slice crosscourt6%+0.5−1.6+1.8+0.7±2.9

Lean BH crosscourt: +3.9±2.5 per 100 returns v the current mix (760 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv JackValue
FH through the middle44%−3.5+2.5−1.0−1.9±2.7
FH crosscourt25%−0.2+0.4+1.5+1.6±4.3
FH down the line21%−1.8+0.8+1.0+0.1±4.7
FH slice through the middle6%−12.7+0.8+0.7−11.2±1.8
FH slice down the line4%−9.4+0.6±0.0−8.8±1.4

Lean FH crosscourt: +3.1±3.5 per 100 returns v the current mix (170 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv JackValue
BH through the middle47%−2.9−0.7+0.6−3.0±2.0
BH crosscourt29%+1.0+1.3−2.7−0.4±2.8
BH down the line13%−0.2+2.2−3.4−1.5±5.0
FH through the middle6%−2.9−1.1−1.0−5.0±2.2
FH inside-in3%+0.6−0.1+1.5+2.0±3.9

Lean FH inside-in: +3.8±4.0 per 100 returns v the current mix (456 returns charted, inside the 90% margin)

Jack Draper returning

1st serve to the forehand

ReturnNowTourOwnv JaumeValue
FH through the middle51%+4.3+0.3+1.2+5.8±2.2
FH crosscourt27%+5.5+0.1+0.3+5.9±3.9
FH down the line14%+1.7−1.2+2.3+2.8±4.1
FH slice through the middle6%−4.2+0.9−0.5−3.8±2.3
FH slice crosscourt2%−4.3+1.5+1.2−1.7±2.5

Lean FH crosscourt: +1.2±3.2 per 100 returns v the current mix (427 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv JaumeValue
BH through the middle46%+6.4+1.0−0.8+6.7±2.0
BH crosscourt28%+8.8−1.6+1.6+8.8±3.2
BH down the line12%+4.2+2.7+0.3+7.3±4.1
BH slice through the middle8%−4.2−1.0−1.1−6.3±2.5
BH slice down the line3%−8.4+0.6−1.9−9.7±3.2

Lean BH crosscourt: +3.3±2.6 per 100 returns v the current mix (581 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv JaumeValue
FH through the middle46%−3.5−0.7+1.1−3.1±2.5
FH crosscourt31%−0.2−0.3−0.2−0.7±4.1
FH down the line18%−1.8+3.0+0.3+1.5±4.4
FH slice through the middle4%−12.7−2.1±0.0−14.7±1.2

Lean FH down the line: +3.5±3.9 per 100 returns v the current mix (179 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv JaumeValue
BH through the middle45%−2.9+2.0−1.6−2.5±2.1
BH crosscourt27%+1.0−1.7+3.3+2.6±3.2
FH through the middle9%−2.9+1.5+1.1−0.3±2.1
BH down the line8%−0.2+0.3−1.1−0.9±4.6
FH inside-in6%+0.6−0.3−0.2+0.1±4.0

Lean BH crosscourt: +3.0±2.5 per 100 returns v the current mix (412 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 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 forehand · rally+4.7±4.7+1.6+3.1
FH to their backhand · return +1+4.3±4.4+0.9+3.4
FH to the middle · rally+4.2±3.1+1.1+3.1
BH to the middle · return +1+4.1±2.2+3.1+1.0
BH slice to their forehand · rally+4.0±3.4+1.7+2.3
BH to their backhand · rally+3.9±2.9+2.9+1.0

Avoid

ShotEdgeOwnTheirs
FH to their forehand · rally−3.9±4.5−2.7−1.2
FH to their backhand · serve +1−3.8±4.6−3.6−0.2
FH slice to the middle · rally−2.4±2.9−0.7−1.8
BH slice to the middle · rally−2.2±2.6−0.8−1.4
BH to their backhand · serve +1−1.6±3.0+2.5−4.1

Jack Draper

Favour

ShotEdgeOwnTheirs
FH to their backhand · return +1+5.6±4.3+6.7−1.1
BH to their forehand · serve +1+5.4±5.2+4.2+1.2
BH to their forehand · return+5.3±5.0+2.0+3.3
BH to their backhand · serve +1+5.3±4.2+6.1−0.8
FH to their forehand · return+5.2±5.9+3.3+1.9
BH to their forehand · rally+4.2±4.2+1.7+2.5

Avoid

ShotEdgeOwnTheirs
FH to their backhand · serve +1−2.0±4.8+1.0−3.0
BH to the middle · serve +1−2.0±3.0+0.5−2.5
BH slice to their backhand · rally−1.2±2.4−0.2−1.0
FH to their forehand · return +1−0.5±4.6−1.9+1.4
FH to the middle · return+0.1±3.6−0.7+0.8

Against Jack Draper-like opponents

Jaume Munar vMatchesServe pts wonReturn pts won
All charted opponents–60.1%37.4%
Players most similar to Jack Draper3 61.1%33.6%

Similar by tactical fingerprint: Learner Tien, Hubert Hurkacz, Gael Monfils, Novak Djokovic, Taylor Fritz, Arthur Cazaux, Borna Coric, David Goffin, Marcos Baghdatis, Nicolas Almagro. When two players have rarely met, their records against these lookalikes fill the gap.