RallyIQ

Game plan

Jaume Munar v Yoshihito Nishioka

Every number combines what Jaume Munar does well with what Yoshihito Nishioka 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 57%90%: 39%–74% · best of 5: 59%
Serve points won 61.4% / 60.0% Jaume / Yoshihito · tour 63.8%
Strengths only, no similarity priors 60%serve 61.7% / 59.7%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Yoshihito Nishioka's tactical lookalikes and in their charted head-to-heads (lookalikes: −1.8 on serve, −1.4 on return vs expectation (614 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

CareerJaumeYoshihito
Direction choice−0.01 ±0.08
better than 53%
−0.29 ±0.10
better than 6%
Shot selection−0.31 ±0.21
better than 22%
−0.18 ±0.14
better than 32%
Execution+0.60 ±0.36
better than 86%
+0.62 ±0.43
better than 87%
Points left on the table2.55 ±0.11
lower than 55%
3.00 ±0.19
lower than 19%

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 +1.67, Yoshihito Nishioka +1.44. 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 YoshihitoMatchupOptimal
Wide55%68%79%74.7%±4.168% ▲
Body10%65%55%57.0%±10.40% ▼
T35%73%80%78.0%±4.932% ▼

Optimal v Yoshihito Nishioka: +0.8±0.7 per 100 first serves (faults included) over the current mix. Serving T every time would read +3.8 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowJaume winsv YoshihitoMatchupOptimal
Wide51%68%78%73.8%±5.051%
Body14%64%62%63.5%±10.21% ▼
T35%66%77%71.2%±5.348% ▲

Optimal v Yoshihito Nishioka: +0.6±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +2.3 per 100 first serves in before the returner adjusts.

Yoshihito Nishioka serving

Deuce court

1st serveNowYoshihito winsv JaumeMatchupOptimal
Wide25%62%72%61.2%±6.638% ▲
Body22%57%54%47.8%±8.69% ▼
T53%61%71%56.9%±5.453%

Optimal v Jaume Munar: +0.6±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +5.2 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowYoshihito winsv JaumeMatchupOptimal
Wide55%63%70%59.7%±4.955%
Body16%60%63%60.6%±9.53% ▼
T29%75%69%72.6%±6.042% ▲

Optimal v Jaume Munar: +0.7±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +9.0 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 YoshihitoValue
FH through the middle44%+4.3−0.4+3.3+7.2±2.1
FH slice through the middle22%−4.2+0.7+1.2−2.4±2.2
FH down the line13%+1.7−0.2−2.0−0.6±4.4
FH crosscourt11%+5.5+2.3+2.1+9.8±4.2
FH slice down the line7%−4.3+1.8+1.3−1.1±2.8

Lean FH crosscourt: +6.4±3.9 per 100 returns v the current mix (701 returns charted)

1st serve to the backhand

ReturnNowTourOwnv YoshihitoValue
BH through the middle42%+6.4+2.3+4.2+12.9±1.8
BH crosscourt27%+8.8+1.2+5.0+15.0±2.8
BH slice through the middle13%−4.2−0.1+0.9−3.3±2.4
BH down the line10%+4.2+1.9+0.8+7.0±4.2
BH slice crosscourt6%+0.5−1.6+3.2+2.1±3.0

Lean BH crosscourt: +5.2±2.3 per 100 returns v the current mix (760 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv YoshihitoValue
FH through the middle44%−3.5+2.5+2.8+1.9±2.6
FH crosscourt25%−0.2+0.4+5.0+5.1±4.3
FH down the line21%−1.8+0.8−4.7−5.6±4.7
FH slice through the middle6%−12.7+0.8−0.1−12.0±1.7
FH slice down the line4%−9.4+0.6±0.0−8.8±1.4

Lean FH crosscourt: +5.2±3.5 per 100 returns v the current mix (170 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv YoshihitoValue
BH through the middle47%−2.9−0.7+0.2−3.3±2.0
BH crosscourt29%+1.0+1.3+0.8+3.1±2.8
BH down the line13%−0.2+2.2+4.3+6.3±4.9
FH through the middle6%−2.9−1.1+2.8−1.2±2.1
FH inside-in3%+0.6−0.1+5.0+5.4±3.9

Lean BH down the line: +6.2±4.5 per 100 returns v the current mix (456 returns charted)

Yoshihito Nishioka returning

1st serve to the forehand

ReturnNowTourOwnv JaumeValue
FH through the middle40%+4.3+3.3+1.2+8.8±2.3
FH crosscourt23%+5.5+0.7+0.3+6.5±4.0
FH slice through the middle17%−4.2+2.3−0.5−2.4±2.3
FH down the line9%+1.7−0.1+2.3+4.0±4.1
FH slice crosscourt7%−4.3+3.3+1.2+0.2±2.8

Lean FH through the middle: +3.9±1.7 per 100 returns v the current mix (435 returns charted)

1st serve to the backhand

ReturnNowTourOwnv JaumeValue
BH through the middle38%+6.4+0.5−0.8+6.1±2.1
BH crosscourt22%+8.8±0.0+1.6+10.4±3.3
BH slice through the middle21%−4.2−0.6−1.1−5.9±2.4
BH slice down the line7%−8.4+1.7−1.9−8.6±3.5
BH down the line6%+4.2−4.8+0.3−0.2±4.1

Lean BH crosscourt: +7.8±2.8 per 100 returns v the current mix (612 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv JaumeValue
FH through the middle49%−3.5+1.5+1.1−0.9±2.4
FH crosscourt38%−0.2+0.3−0.2−0.1±4.0
FH down the line9%−1.8−1.0+0.3−2.5±4.2
FH slice through the middle4%−12.7+0.5±0.0−12.2±1.3

Lean FH crosscourt: +1.1±2.8 per 100 returns v the current mix (261 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv JaumeValue
BH through the middle53%−2.9+2.9−1.6−1.6±2.2
BH crosscourt29%+1.0+2.5+3.3+6.8±3.2
BH down the line9%−0.2+0.7−1.1−0.5±4.5
BH slice through the middle4%−11.3−0.5−0.2−12.0±1.7
FH through the middle3%−2.9+1.8+1.1±0.0±1.7

Lean BH crosscourt: +6.4±2.6 per 100 returns v the current mix (286 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 hard. Each player's hard 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 · return+8.8±3.4+3.9+4.9
FH to their backhand · return+6.8±4.5+2.2+4.5
BH to the middle · return+6.1±1.7+1.1+5.0
FH to their forehand · return +1+5.3±4.1+4.1+1.2
BH slice to their forehand · rally+5.0±4.6+1.2+3.8
BH to their forehand · return+5.0±4.6+0.7+4.3

Avoid

ShotEdgeOwnTheirs
FH to their forehand · return−5.2±5.7−0.4−4.8
FH slice to the middle · rally−3.6±4.0−0.8−2.8
BH to their backhand · return +1−3.0±4.0+1.7−4.8
FH volley to their forehand · rally−1.8±8.5+2.7−4.5
BH slice to the middle · rally−1.4±2.6−0.3−1.2

Yoshihito Nishioka

Favour

ShotEdgeOwnTheirs
BH to their forehand · return+6.9±5.1+3.6+3.3
FH to the middle · rally+5.5±1.7+3.4+2.1
BH to their forehand · serve +1+5.2±5.4+2.3+2.9
FH to their forehand · rally+4.6±2.1+2.5+2.1
FH to their backhand · return+3.6±4.0+2.9+0.7
FH slice to the middle · return+3.5±3.2+2.9+0.6

Avoid

ShotEdgeOwnTheirs
BH to their backhand · return−4.1±4.2−3.8−0.3
FH to their backhand · serve +1−4.1±2.8−1.9−2.2
BH slice to their backhand · rally−3.8±3.3−2.9−0.9
BH slice to the middle · rally−2.8±3.0−2.5−0.3
FH to their forehand · serve +1−1.8±3.3−0.1−1.7

Against Yoshihito Nishioka-like opponents

Jaume Munar vMatchesServe pts wonReturn pts won
All charted opponents–60.1%37.4%
Players most similar to Yoshihito Nishioka3 60.1%37.1%

Similar by tactical fingerprint: Cameron Norrie, Gael Monfils, Mattia Bellucci, Albert Ramos, Dominik Koepfer, Rafael Nadal, Federico Delbonis, Pablo Cuevas, Guido Pella, Gaston Gaudio. When two players have rarely met, their records against these lookalikes fill the gap.