RallyIQ

Game plan

Leonardo Mayer v Thomaz Bellucci

Every number combines what Leonardo Mayer does well with what Thomaz Bellucci allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Leonardo Mayer wins, best of 3 57%90%: 29%–81% · best of 5: 59%
Serve points won 67.5% / 66.1% Leonardo / Thomaz · tour 61.3%
Strengths only, no similarity priors 57%serve 67.5% / 66.1%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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

CareerLeonardoThomaz
Direction choice+0.08 ±0.10
better than 78%
+0.06 ±0.12
better than 72%
Shot selection+0.64 ±0.21
better than 97%
+0.51 ±0.24
better than 94%
Execution−1.77 ±0.69
better than 6%
−1.49 ±1.07
better than 10%
Points left on the table2.47 ±0.19
lower than 66%
2.49 ±0.14
lower than 62%

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.

Leonardo Mayer serving

Deuce court

1st serveNowLeonardo winsv ThomazMatchupOptimal
Wide52%74%73%73.4%±7.365% ▲
Body9%57%64%57.3%±15.10% ▼
T40%73%76%74.6%±8.435% ▼

Optimal v Thomaz Bellucci: +0.7±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +2.1 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowLeonardo winsv ThomazMatchupOptimal
Wide49%67%78%72.9%±8.846% ▼
Body10%60%58%54.6%±14.90% ▼
T41%69%70%66.8%±9.254% ▲

Optimal v Thomaz Bellucci: +0.6±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +4.4 per 100 first serves in before the returner adjusts.

Thomaz Bellucci serving

Deuce court

1st serveNowThomaz winsv LeonardoMatchupOptimal
Wide53%73%77%77.8%±7.167% ▲
Body13%64%65%65.6%±12.40% ▼
T34%68%74%67.9%±9.333%

Optimal v Leonardo Mayer: +0.7±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +4.9 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowThomaz winsv LeonardoMatchupOptimal
Wide54%66%80%74.1%±7.367% ▲
Body9%61%65%62.5%±14.30% ▼
T36%74%76%77.5%±8.433% ▼

Optimal v Leonardo Mayer: +0.9±0.8 per 100 first serves (faults included) over the current mix. Serving T every time would read +3.2 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.

Leonardo Mayer returning

1st serve to the forehand

ReturnNowTourOwnv ThomazValue
FH through the middle49%+4.3−1.1−0.4+2.7±3.0
FH down the line26%+1.7−2.3+0.8+0.2±4.4
FH crosscourt14%+5.5−0.8+1.5+6.2±4.3
FH slice through the middle11%−4.2+0.3+0.4−3.5±2.1

Lean FH crosscourt: +4.3±4.2 per 100 returns v the current mix (208 returns charted)

1st serve to the backhand

ReturnNowTourOwnv ThomazValue
BH through the middle31%+6.4−2.0+1.4+5.8±2.8
BH crosscourt24%+8.8+0.2+0.6+9.6±3.5
BH slice through the middle19%−4.2+1.4+0.3−2.5±2.5
BH down the line13%+4.2+0.9−0.3+4.8±4.6
BH slice crosscourt8%+0.5+0.9+1.0+2.4±2.6

Lean BH crosscourt: +5.7±2.9 per 100 returns v the current mix (336 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv ThomazValue
FH through the middle39%−3.5+1.3−0.3−2.4±2.8
FH crosscourt33%−0.2−1.0−1.2−2.4±4.1
FH down the line28%−1.8−1.5−2.4−5.7±4.1

Lean FH crosscourt: +0.9±3.1 per 100 returns v the current mix (54 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv ThomazValue
BH through the middle34%−2.9−2.2−1.4−6.5±2.6
BH crosscourt32%+1.0−1.5−0.8−1.3±3.3
FH through the middle10%−2.9−1.8−0.3−5.0±2.3
FH inside-in8%+0.6−0.8−1.2−1.4±3.9
FH inside-out8%+1.0−0.5−2.4−1.9±3.1

Lean BH crosscourt: +2.0±2.5 per 100 returns v the current mix (156 returns charted, inside the 90% margin)

Thomaz Bellucci returning

1st serve to the forehand

ReturnNowTourOwnv LeonardoValue
FH through the middle47%+4.3−0.9−1.2+2.1±2.9
FH crosscourt24%+5.5+1.8−1.1+6.3±4.2
FH down the line17%+1.7−1.7+2.4+2.4±4.3
FH slice through the middle12%−4.2−2.7−0.5−7.3±2.1

Lean FH crosscourt: +4.2±3.6 per 100 returns v the current mix (109 returns charted)

1st serve to the backhand

ReturnNowTourOwnv LeonardoValue
BH through the middle49%+6.4−2.7−1.5+2.3±2.7
BH crosscourt26%+8.8−1.6−1.0+6.1±3.5
BH down the line16%+4.2−0.8−0.7+2.7±4.5
BH slice through the middle4%−4.2−0.5+1.9−2.8±2.1
BH slice crosscourt3%+0.5−2.3+3.5+1.7±2.0

Lean BH crosscourt: +3.3±3.0 per 100 returns v the current mix (179 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv LeonardoValue
FH crosscourt58%−0.2+0.1−1.4−1.5±4.3
FH through the middle43%−3.5−0.3−1.9−5.7±2.7

Lean FH crosscourt: +1.8±2.1 per 100 returns v the current mix (40 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv LeonardoValue
BH through the middle50%−2.9+1.0−0.2−2.1±2.5
BH crosscourt24%+1.0−1.5+0.9+0.4±3.1
BH down the line15%−0.2−0.3−0.2−0.7±4.6
FH through the middle10%−2.9−0.1−1.9−4.9±2.2

Lean BH crosscourt: +1.9±2.8 per 100 returns v the current mix (111 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 clay. Each player's clay record is shrunk toward their all-surface one, so a thin sample on it moves the numbers only a little.

Leonardo Mayer

Favour

ShotEdgeOwnTheirs
FH to their backhand · return +1+6.9±5.6+1.6+5.3
FH to their backhand · serve +1+2.9±4.5+0.8+2.1
FH to their backhand · rally−0.2±3.5−0.7+0.5
BH to their forehand · rally−0.2±5.4−4.3+4.1
BH to the middle · rally−0.3±3.0−0.7+0.4
FH to their forehand · serve +1−0.6±5.3+1.9−2.5

Avoid

ShotEdgeOwnTheirs
FH to their forehand · rally−12.7±4.5−8.2−4.4
FH to their backhand · return−5.4±5.5−4.0−1.3
FH to the middle · return−5.0±3.6−3.1−1.9
BH to their backhand · rally−4.4±3.8−0.7−3.7
FH to the middle · rally−2.2±3.4−1.8−0.4

Thomaz Bellucci

Favour

ShotEdgeOwnTheirs
FH to their backhand · serve +1+5.3±4.5+2.9+2.5
BH to their forehand · rally+4.8±5.3−0.8+5.6
FH to their backhand · return+4.7±5.4+3.0+1.8
FH to their forehand · serve +1+2.2±5.4+0.5+1.7
BH to the middle · rally+0.6±2.8+0.9−0.3
FH to their backhand · rally+0.3±3.5+0.6−0.3

Avoid

ShotEdgeOwnTheirs
BH to their backhand · rally−9.4±3.9−8.9−0.5
BH to the middle · return−4.3±3.1−2.5−1.8
BH to their backhand · return−3.8±4.5−2.7−1.1
FH to the middle · rally−3.7±3.4−3.1−0.6
FH to the middle · return−2.0±3.4−0.2−1.9

Against Thomaz Bellucci-like opponents

Leonardo Mayer vMatchesServe pts wonReturn pts won
All charted opponents–61.8%30.6%

Similar by tactical fingerprint: Jannik Sinner, Arthur Fils, Carlos Alcaraz, Alejandro Tabilo, Alexander Shevchenko, Luca Nardi, Roman Safiullin, Gregoire Barrere, Ilya Ivashka. When two players have rarely met, their records against these lookalikes fill the gap.