RallyIQ

Game plan

Jaume Munar v Thanasi Kokkinakis

Every number combines what Jaume Munar does well with what Thanasi Kokkinakis 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 46%90%: 20%–73% · best of 5: 45%
Serve points won 62.2% / 63.0% Jaume / Thanasi · tour 63.4%
Strengths only, no similarity priors 49%serve 63.3% / 63.4%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Thanasi Kokkinakis's tactical lookalikes and in their charted head-to-heads (lookalikes: −9.1 on serve, +3.4 on return vs expectation (405 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

CareerJaumeThanasi
Direction choice−0.01 ±0.08
better than 53%
+0.03 ±0.07
better than 63%
Shot selection−0.31 ±0.21
better than 22%
−0.38 ±0.18
better than 18%
Execution+0.60 ±0.36
better than 86%
−0.13 ±0.56
better than 61%
Points left on the table2.55 ±0.11
lower than 55%
2.45 ±0.10
lower than 68%

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 +1.16, Thanasi Kokkinakis +0.09. 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 ThanasiMatchupOptimal
Wide55%68%77%71.9%±4.868% ▲
Body10%65%66%67.7%±9.30% ▼
T35%73%78%76.5%±5.132% ▼

Optimal v Thanasi Kokkinakis: +0.5±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +3.4 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowJaume winsv ThanasiMatchupOptimal
Wide51%68%80%75.5%±4.864% ▲
Body14%64%62%63.0%±10.11% ▼
T35%66%72%66.1%±6.135%

Optimal v Thanasi Kokkinakis: +0.5±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +5.0 per 100 first serves in before the returner adjusts.

Thanasi Kokkinakis serving

Deuce court

1st serveNowThanasi winsv JaumeMatchupOptimal
Wide48%76%72%74.9%±4.661% ▲
Body5%61%54%51.8%±11.40% ▼
T47%74%71%70.3%±5.339% ▼

Optimal v Jaume Munar: +0.7±0.6 per 100 first serves (faults included) over the current mix. Serving wide every time would read +3.4 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowThanasi winsv JaumeMatchupOptimal
Wide52%80%70%77.1%±4.565% ▲
Body7%62%63%62.5%±11.50% ▼
T41%77%69%74.9%±5.335% ▼

Optimal v Jaume Munar: +0.8±0.7 per 100 first serves (faults included) over the current mix. Serving wide every time would read +2.0 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.

Jaume Munar returning

1st serve to the forehand

ReturnNowTourOwnv ThanasiValue
FH through the middle44%+4.3−0.4−1.8+2.0±2.3
FH slice through the middle22%−4.2+0.7−0.2−3.7±2.2
FH down the line13%+1.7−0.2−3.3−1.9±4.3
FH crosscourt11%+5.5+2.3+0.2+8.0±4.3
FH slice down the line7%−4.3+1.8−0.7−3.1±2.9

Lean FH crosscourt: +7.6±4.0 per 100 returns v the current mix (701 returns charted)

1st serve to the backhand

ReturnNowTourOwnv ThanasiValue
BH through the middle42%+6.4+2.3−0.6+8.1±2.2
BH crosscourt27%+8.8+1.2−2.2+7.8±3.0
BH slice through the middle13%−4.2−0.1−1.6−5.9±2.3
BH down the line10%+4.2+1.9−2.0+4.2±4.6
BH slice crosscourt6%+0.5−1.6−0.3−1.4±3.0

Lean BH through the middle: +3.2±1.6 per 100 returns v the current mix (760 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv ThanasiValue
FH through the middle44%−3.5+2.5±0.0−1.0±2.7
FH crosscourt25%−0.2+0.4−3.5−3.3±4.4
FH down the line21%−1.8+0.8−0.3−1.2±4.6
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: +1.6±2.1 per 100 returns v the current mix (170 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv ThanasiValue
BH through the middle47%−2.9−0.7−0.2−3.8±2.0
BH crosscourt29%+1.0+1.3+1.1+3.4±2.8
BH down the line13%−0.2+2.2−0.4+1.6±5.0
FH through the middle6%−2.9−1.1±0.0−4.0±2.2
FH inside-in3%+0.6−0.1−3.5−3.0±4.1

Lean BH crosscourt: +4.4±2.3 per 100 returns v the current mix (456 returns charted)

Thanasi Kokkinakis returning

1st serve to the forehand

ReturnNowTourOwnv JaumeValue
FH through the middle38%+4.3+1.1+1.2+6.6±2.3
FH down the line31%+1.7−1.4+0.3+0.6±3.9
FH crosscourt14%+5.5+1.0+2.3+8.8±4.0
FH slice through the middle11%−4.2−1.7−0.5−6.5±2.3
FH slice crosscourt4%−4.3+0.8−0.7−4.2±2.6

Lean FH crosscourt: +5.9±3.8 per 100 returns v the current mix (466 returns charted)

1st serve to the backhand

ReturnNowTourOwnv JaumeValue
BH through the middle36%+6.4+1.3−0.8+6.9±2.2
BH crosscourt35%+8.8−0.4+0.3+8.7±2.9
BH slice through the middle10%−4.2−1.5−1.1−6.8±2.5
BH down the line8%+4.2−2.5+1.6+3.3±4.5
BH slice crosscourt7%+0.5−0.9−1.9−2.3±2.9

Lean BH crosscourt: +4.1±2.1 per 100 returns v the current mix (473 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv JaumeValue
FH through the middle44%−3.5+1.3+1.1−1.1±2.5
FH down the line30%−1.8−0.5−0.2−2.5±4.3
FH crosscourt20%−0.2−1.2+0.3−1.1±3.9
FH slice through the middle6%−12.7+0.1±0.0−12.6±1.1

Lean FH crosscourt: +1.1±3.6 per 100 returns v the current mix (96 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv JaumeValue
BH through the middle47%−2.9+1.1−1.6−3.4±2.2
BH crosscourt31%+1.0±0.0−1.1±0.0±3.0
BH down the line16%−0.2−1.2+3.3+1.9±5.0
FH through the middle4%−2.9+1.4+1.1−0.4±1.9
FH inside-out3%+1.0+0.9−0.2+1.7±2.9

Lean BH down the line: +3.2±4.4 per 100 returns v the current mix (318 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.

Jaume Munar

Favour

ShotEdgeOwnTheirs
BH to their forehand · serve +1+7.0±4.5+0.9+6.1
BH to their backhand · serve +1+5.6±2.7+2.5+3.1
BH to their forehand · rally+4.3±3.4+2.5+1.7
BH to the middle · return +1+4.0±2.2+3.1+0.9
FH to their forehand · return +1+3.9±3.4+3.3+0.7
BH to the middle · serve +1+3.1±2.4+1.7+1.3

Avoid

ShotEdgeOwnTheirs
FH to their forehand · return−2.7±4.0−0.8−1.9
BH slice to the middle · return−1.6±2.3−0.1−1.5
BH slice to the middle · rally−1.5±2.1−0.8−0.7
FH to their backhand · return−1.1±3.4+1.3−2.4
FH to the middle · return−0.8±1.8+0.6−1.4

Thanasi Kokkinakis

Favour

ShotEdgeOwnTheirs
BH to the middle · return +1+2.9±2.3+1.7+1.2
FH to the middle · return+2.6±1.8+1.6+1.0
FH to their forehand · rally+2.0±1.9−0.1+2.1
BH to their forehand · return+1.8±4.0−1.5+3.3
FH to the middle · return +1+1.7±2.6+1.2+0.5
FH to the middle · rally+1.6±1.8+0.5+1.2

Avoid

ShotEdgeOwnTheirs
FH to their backhand · return +1−5.6±3.3−4.5−1.1
BH slice to their backhand · return +1−3.6±2.7−1.3−2.3
FH to their backhand · serve +1−2.5±2.3−1.1−1.4
FH slice to the middle · return−1.8±2.4−1.7±0.0
FH to their backhand · return−1.5±3.1−1.4−0.2

Against Thanasi Kokkinakis-like opponents

Jaume Munar vMatchesServe pts wonReturn pts won
All charted opponents–60.1%37.4%
Players most similar to Thanasi Kokkinakis3 53.6%39.2%

Similar by tactical fingerprint: Andrey Rublev, Tommy Paul, Felix Auger Aliassime, Alexei Popyrin, Laslo Djere, Marin Cilic, Dominic Thiem, Lloyd Harris, J J Wolf, Kyle Edmund. When two players have rarely met, their records against these lookalikes fill the gap.