RallyIQ

Game plan

Leonardo Mayer v Felix Auger Aliassime

Every number combines what Leonardo Mayer does well with what Felix Auger Aliassime 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 25%90%: 7%–53% · best of 5: 19%
Serve points won 67.0% / 72.9% Leonardo / Felix · tour 65.7%
Strengths only, no similarity priors 25%serve 67.0% / 72.9%

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. At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Felix Auger Aliassime'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

CareerLeonardoFelix
Direction choice+0.08 ±0.10
better than 78%
+0.01 ±0.05
better than 60%
Shot selection+0.64 ±0.21
better than 97%
+0.50 ±0.08
better than 93%
Execution−1.77 ±0.69
better than 6%
−0.79 ±0.31
better than 33%
Points left on the table2.47 ±0.19
lower than 66%
2.50 ±0.09
lower than 60%

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 FelixMatchupOptimal
Wide52%74%75%75.8%±4.665% ▲
Body9%57%64%57.2%±10.50% ▼
T40%73%74%72.2%±5.835% ▼

Optimal v Felix Auger Aliassime: +1.0±0.7 per 100 first serves (faults included) over the current mix. Serving wide every time would read +3.0 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowLeonardo winsv FelixMatchupOptimal
Wide49%67%72%65.6%±5.946% ▼
Body10%60%65%62.4%±10.40% ▼
T41%69%74%70.6%±5.954% ▲

Optimal v Felix Auger Aliassime: +0.5±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +3.3 per 100 first serves in before the returner adjusts.

Felix Auger Aliassime serving

Deuce court

1st serveNowFelix winsv LeonardoMatchupOptimal
Wide50%78%77%81.6%±4.545% ▼
Body8%66%65%67.9%±8.90% ▼
T42%78%74%77.1%±4.755% ▲

Optimal v Leonardo Mayer: +0.5±0.6 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +3.0 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowFelix winsv LeonardoMatchupOptimal
Wide46%75%80%81.6%±4.359% ▲
Body6%63%65%65.2%±10.30% ▼
T47%76%76%80.1%±5.141% ▼

Optimal v Leonardo Mayer: +0.7±0.6 per 100 first serves (faults included) over the current mix. Serving wide every time would read +1.8 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 FelixValue
FH through the middle49%+4.3−1.1−0.2+2.9±2.3
FH down the line26%+1.7−2.3−3.3−3.9±3.8
FH crosscourt14%+5.5−0.8−0.6+4.1±3.8
FH slice through the middle11%−4.2+0.3−1.3−5.2±2.0

Lean FH crosscourt: +3.7±3.6 per 100 returns v the current mix (208 returns charted)

1st serve to the backhand

ReturnNowTourOwnv FelixValue
BH through the middle31%+6.4−2.0+0.6+4.9±2.1
BH crosscourt24%+8.8+0.2−0.6+8.4±2.9
BH slice through the middle19%−4.2+1.4−2.0−4.8±2.2
BH down the line13%+4.2+0.9−1.4+3.7±4.3
BH slice crosscourt8%+0.5+0.9−2.6−1.1±2.8

Lean BH crosscourt: +6.0±2.4 per 100 returns v the current mix (336 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv FelixValue
FH through the middle39%−3.5+1.3−0.3−2.5±2.3
FH crosscourt33%−0.2−1.0−5.6−6.8±3.8
FH down the line28%−1.8−1.5−2.8−6.1±3.9

Lean FH through the middle: +2.5±2.2 per 100 returns v the current mix (54 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv FelixValue
BH through the middle34%−2.9−2.2+0.1−5.1±2.0
BH crosscourt32%+1.0−1.5−1.5−2.0±2.7
FH through the middle10%−2.9−1.8−0.3−5.0±1.8
FH inside-in8%+0.6−0.8−5.6−5.8±3.6
FH inside-out8%+1.0−0.5−2.8−2.3±3.0

Lean BH crosscourt: +1.3±2.0 per 100 returns v the current mix (156 returns charted, inside the 90% margin)

Felix Auger Aliassime returning

1st serve to the forehand

ReturnNowTourOwnv LeonardoValue
FH through the middle50%+4.3−0.6−1.2+2.5±2.1
FH down the line21%+1.7−0.9−1.1−0.3±3.7
FH crosscourt20%+5.5−1.5+2.4+6.3±3.7
FH slice through the middle6%−4.2−1.3−0.5−6.0±2.2
FH slice down the line2%−4.3+0.1+0.5−3.7±2.9

Lean FH crosscourt: +4.4±3.3 per 100 returns v the current mix (1741 returns charted)

1st serve to the backhand

ReturnNowTourOwnv LeonardoValue
BH through the middle39%+6.4+1.5−1.5+6.5±2.1
BH crosscourt34%+8.8+0.1−0.7+8.2±2.8
BH slice through the middle11%−4.2−0.9+1.9−3.2±2.3
BH down the line7%+4.2+1.4−1.0+4.6±4.2
BH slice crosscourt6%+0.5−1.8±0.0−1.3±2.8

Lean BH crosscourt: +3.0±2.1 per 100 returns v the current mix (2015 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv LeonardoValue
FH through the middle47%−3.5−0.1−1.9−5.5±2.6
FH crosscourt30%−0.2−0.5−1.9−2.6±4.2
FH down the line19%−1.8−2.0−1.4−5.2±4.7
FH slice through the middle2%−12.7+0.3+0.7−11.7±1.7
FH slice down the line1%−9.4+0.1±0.0−9.4±1.4

Lean FH crosscourt: +2.1±3.3 per 100 returns v the current mix (403 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv LeonardoValue
BH crosscourt36%+1.0−3.2−0.2−2.4±2.6
BH through the middle34%−2.9−1.3−0.2−4.4±2.0
FH through the middle9%−2.9−0.2−1.9−5.0±2.3
BH down the line8%−0.2+2.0+0.9+2.7±4.7
FH inside-in6%+0.6+1.4−1.9±0.0±4.3

Lean BH down the line: +5.4±4.5 per 100 returns v the current mix (1299 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.

Leonardo Mayer

Favour

ShotEdgeOwnTheirs
BH to their backhand · return +1+2.5±4.1−0.3+2.7
FH to their backhand · rally+2.3±4.3+2.4−0.1
BH to the middle · rally+1.6±2.4−0.5+2.0
BH slice to their backhand · rally+1.1±2.9+0.5+0.6
BH to the middle · return +1+1.1±2.9−1.7+2.7
BH to the middle · serve +1+0.9±3.4+1.0−0.1

Avoid

ShotEdgeOwnTheirs
FH to their backhand · return−8.1±5.5−5.3−2.8
FH to their forehand · return−5.9±5.2−1.5−4.5
FH to their forehand · rally−5.8±4.6−4.7−1.1
FH to their backhand · return +1−5.1±4.8+0.2−5.3
BH to their forehand · return−4.2±5.3+0.8−5.0

Felix Auger Aliassime

Favour

ShotEdgeOwnTheirs
BH to their forehand · serve +1+6.2±5.6+2.6+3.6
BH to their forehand · rally+5.2±5.4+0.9+4.3
FH to their forehand · serve +1+3.8±4.8−0.6+4.4
BH to the middle · rally+2.9±2.9+1.9+1.1
BH to their backhand · serve +1+1.2±3.8−0.6+1.8
BH slice to their backhand · rally+0.9±2.9+0.5+0.4

Avoid

ShotEdgeOwnTheirs
FH to their backhand · return−7.0±5.2−2.8−4.2
FH to their forehand · return +1−5.4±4.9−4.5−0.9
BH to their backhand · return−5.0±4.4−3.0−2.0
BH to the middle · return−3.8±3.2−1.2−2.7
BH to their backhand · rally−3.7±3.7−4.1+0.4

Against Felix Auger Aliassime-like opponents

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

Similar by tactical fingerprint: Casper Ruud, Stefanos Tsitsipas, Arthur Fils, Tommy Paul, Alexei Popyrin, Zizou Bergs, Thanasi Kokkinakis, Lloyd Harris, J J Wolf. When two players have rarely met, their records against these lookalikes fill the gap.