RallyIQ

Game plan

Miomir Kecmanovic v Leonardo Mayer

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

Forecast

Miomir Kecmanovic wins, best of 3 54%90%: 29%–78% · best of 5: 55%
Serve points won 65.5% / 64.6% Miomir / Leonardo · tour 63.4%
Strengths only, no similarity priors 55%serve 65.6% / 64.6%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Miomir Kecmanovic's record against Leonardo Mayer's tactical lookalikes and in their charted head-to-heads (lookalikes: −0.9 on serve, −0.3 on return vs expectation (453 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

CareerMiomirLeonardo
Direction choice−0.06 ±0.09
better than 43%
+0.08 ±0.10
better than 78%
Shot selection−0.28 ±0.10
better than 25%
+0.64 ±0.21
better than 97%
Execution+1.00 ±0.38
better than 95%
−1.77 ±0.69
better than 6%
Points left on the table2.31 ±0.15
lower than 84%
2.47 ±0.19
lower than 66%

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.

Miomir Kecmanovic serving

Deuce court

1st serveNowMiomir winsv LeonardoMatchupOptimal
Wide41%68%77%72.6%±6.242%
Body16%61%65%62.7%±9.72% ▼
T43%73%74%72.8%±5.756% ▲

Optimal v Leonardo Mayer: +1.1±0.9 per 100 first serves (faults included) over the current mix. Serving T every time would read +1.6 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowMiomir winsv LeonardoMatchupOptimal
Wide45%71%80%78.4%±5.258% ▲
Body14%65%65%67.1%±10.11% ▼
T41%68%76%72.5%±6.641%

Optimal v Leonardo Mayer: +1.3±0.8 per 100 first serves (faults included) over the current mix. Serving wide every time would read +4.0 per 100 first serves in before the returner adjusts.

Leonardo Mayer serving

Deuce court

1st serveNowLeonardo winsv MiomirMatchupOptimal
Wide52%74%76%76.5%±4.847% ▼
Body9%57%58%51.0%±11.40% ▼
T40%73%80%78.6%±5.453% ▲

Optimal v Miomir Kecmanovic: +0.9±0.7 per 100 first serves (faults included) over the current mix. Serving T every time would read +3.4 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowLeonardo winsv MiomirMatchupOptimal
Wide49%67%73%67.6%±6.246% ▼
Body10%60%58%54.6%±11.40% ▼
T41%69%73%70.0%±6.554% ▲

Optimal v Miomir Kecmanovic: +0.6±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +2.7 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.

Miomir Kecmanovic returning

1st serve to the forehand

ReturnNowTourOwnv LeonardoValue
FH through the middle51%+4.3+2.7−1.2+5.8±2.3
FH crosscourt21%+5.5+0.3+2.4+8.1±4.1
FH down the line13%+1.7+4.3−1.1+4.9±4.3
FH slice through the middle10%−4.2−0.1−0.5−4.8±2.3
FH slice down the line3%−4.3−0.3+0.5−4.1±2.8

Lean FH crosscourt: +3.5±3.5 per 100 returns v the current mix (845 returns charted)

1st serve to the backhand

ReturnNowTourOwnv LeonardoValue
BH crosscourt37%+8.8+3.2−0.7+11.3±3.1
BH through the middle35%+6.4+1.6−1.5+6.5±2.4
BH slice through the middle13%−4.2−0.2+1.9−2.5±2.5
BH slice crosscourt9%+0.5+0.5±0.0+0.9±2.9
BH down the line5%+4.2+0.7−1.0+3.8±4.5

Lean BH crosscourt: +5.0±2.2 per 100 returns v the current mix (721 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv LeonardoValue
FH through the middle56%−3.5+0.6−1.9−4.8±2.8
FH crosscourt28%−0.2+2.8−1.9+0.7±4.4
FH down the line16%−1.8+1.1−1.4−2.1±4.6

Lean FH crosscourt: +3.5±3.6 per 100 returns v the current mix (172 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv LeonardoValue
BH crosscourt46%+1.0+2.0−0.2+2.8±2.8
BH through the middle42%−2.9+1.8−0.2−1.3±2.2
BH down the line6%−0.2+0.5+0.9+1.2±4.8
FH through the middle3%−2.9+0.9−1.9−3.9±2.2
FH inside-in2%+0.6+2.6−1.9+1.3±3.8

Lean BH crosscourt: +2.2±1.8 per 100 returns v the current mix (550 returns charted)

Leonardo Mayer returning

1st serve to the forehand

ReturnNowTourOwnv MiomirValue
FH through the middle49%+4.3−1.1+1.1+4.2±2.4
FH down the line26%+1.7−2.3+1.8+1.2±4.1
FH crosscourt14%+5.5−0.8+4.0+8.7±4.0
FH slice through the middle11%−4.2+0.3+0.5−3.4±2.2

Lean FH crosscourt: +5.5±3.8 per 100 returns v the current mix (208 returns charted)

1st serve to the backhand

ReturnNowTourOwnv MiomirValue
BH through the middle31%+6.4−2.0+2.4+6.8±2.3
BH crosscourt24%+8.8+0.2+1.4+10.4±3.1
BH slice through the middle19%−4.2+1.4+0.9−1.9±2.4
BH down the line13%+4.2+0.9−0.5+4.6±4.6
BH slice crosscourt8%+0.5+0.9−0.8+0.6±3.0

Lean BH crosscourt: +6.0±2.6 per 100 returns v the current mix (336 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv MiomirValue
FH through the middle39%−3.5+1.3−0.1−2.2±2.4
FH crosscourt33%−0.2−1.0+3.3+2.1±3.9
FH down the line28%−1.8−1.5+3.7+0.4±4.2

Lean FH crosscourt: +2.2±3.0 per 100 returns v the current mix (54 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv MiomirValue
BH through the middle34%−2.9−2.2+0.3−4.8±2.1
BH crosscourt32%+1.0−1.5+0.4−0.2±2.9
FH through the middle10%−2.9−1.8−0.1−4.8±1.9
FH inside-in8%+0.6−0.8+3.3+3.1±3.7
FH inside-out8%+1.0−0.5+3.7+4.1±3.3

Lean BH crosscourt: +1.2±2.2 per 100 returns v the current mix (156 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.

Miomir Kecmanovic

Favour

ShotEdgeOwnTheirs
BH to their forehand · rally+7.3±3.4+3.2+4.1
BH to their forehand · serve +1+6.4±4.5+2.9+3.6
FH to their forehand · serve +1+6.1±2.9+2.6+3.5
BH to their forehand · return +1+4.7±4.8+3.5+1.2
FH to their forehand · rally+4.5±2.3+2.8+1.7
FH to their backhand · return+3.3±3.6+4.5−1.2

Avoid

ShotEdgeOwnTheirs
FH to the middle · serve +1−1.0±2.3+1.1−2.1
BH to the middle · return−0.1±1.8+1.1−1.2
BH to their backhand · return +1±0.0±2.9+0.9−0.9
BH slice to their backhand · rally+0.2±2.2−0.2+0.4
BH to the middle · return +1+0.5±2.3+0.8−0.3

Leonardo Mayer

Favour

ShotEdgeOwnTheirs
BH slice to the middle · return+3.8±2.4+2.2+1.6
FH to their backhand · serve +1+3.5±2.5−0.2+3.7
FH to their forehand · serve +1+3.0±3.0−0.2+3.3
BH to their backhand · return+2.9±2.6+1.7+1.2
FH to their forehand · return+2.6±4.0−1.5+4.0
BH to their backhand · serve +1+2.5±2.9+0.3+2.2

Avoid

ShotEdgeOwnTheirs
BH to their forehand · return +1−3.1±4.7−3.5+0.4
FH to their forehand · return +1−2.9±3.4−1.8−1.1
FH to the middle · rally−2.0±1.8−2.6+0.5
FH to the middle · serve +1−2.0±2.4−2.3+0.3
BH to the middle · return−1.3±1.8−2.6+1.3

Against Leonardo Mayer-like opponents

Miomir Kecmanovic vMatchesServe pts wonReturn pts won
All charted opponents–62.7%35.0%
Players most similar to Leonardo Mayer3 63.2%34.3%

Similar by tactical fingerprint: Stefanos Tsitsipas, Arthur Fils, Tallon Griekspoor, Felix Auger Aliassime, Alexei Popyrin, Zizou Bergs, Marin Cilic, Roman Safiullin, Lloyd Harris, Thomaz Bellucci. When two players have rarely met, their records against these lookalikes fill the gap.