RallyIQ

Game plan

Marcel Granollers v Miomir Kecmanovic

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

Forecast

Marcel Granollers wins, best of 3 38%90%: 13%–70% · best of 5: 36%
Serve points won 59.9% / 62.1% Marcel / Miomir · tour 63.4%
Strengths only, no similarity priors 44%serve 60.7% / 61.9%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Marcel Granollers's record against Miomir Kecmanovic's tactical lookalikes and in their charted head-to-heads (lookalikes: −11.6 on serve, −4.2 on return vs expectation (221 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

CareerMarcelMiomir
Direction choice−0.15 ±0.22
better than 20%
−0.06 ±0.09
better than 43%
Shot selection−0.52 ±0.36
better than 11%
−0.28 ±0.10
better than 25%
Execution−0.26 ±0.54
better than 55%
+1.00 ±0.38
better than 95%
Points left on the table2.75 ±0.26
lower than 35%
2.31 ±0.15
lower than 84%

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.

Marcel Granollers serving

Deuce court

1st serveNowMarcel winsv MiomirMatchupOptimal
Wide49%69%76%71.7%±6.850%
Body16%66%58%60.3%±12.23% ▼
T34%74%80%79.0%±7.047% ▲

Optimal v Miomir Kecmanovic: +1.3±0.9 per 100 first serves (faults included) over the current mix. Serving T every time would read +6.7 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowMarcel winsv MiomirMatchupOptimal
Wide30%77%73%77.5%±8.629%
Body18%56%58%50.8%±12.35% ▼
T53%72%73%73.2%±7.466% ▲

Optimal v Miomir Kecmanovic: +0.9±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +7.0 per 100 first serves in before the returner adjusts.

Miomir Kecmanovic serving

Deuce court

1st serveNowMiomir winsv MarcelMatchupOptimal
Wide41%68%73%67.3%±8.042%
Body16%61%67%64.2%±11.72% ▼
T43%73%76%74.8%±7.256% ▲

Optimal v Marcel Granollers: +0.8±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +4.8 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowMiomir winsv MarcelMatchupOptimal
Wide45%71%66%64.0%±8.458% ▲
Body14%65%63%65.5%±11.41% ▼
T41%68%70%66.3%±8.541%

Optimal v Marcel Granollers: +0.6±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +1.2 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.

Marcel Granollers returning

1st serve to the forehand

ReturnNowTourOwnv MiomirValue
FH through the middle45%+4.3+1.6+1.1+7.0±2.5
FH slice through the middle23%−4.2+3.9+0.5+0.2±2.3
FH crosscourt13%+5.5−3.4+4.0+6.0±3.8
FH down the line13%+1.7+0.4+1.8+3.9±3.8
FH slice down the line7%−4.3+3.6+1.0+0.3±2.8

Lean FH through the middle: +2.5±1.6 per 100 returns v the current mix (128 returns charted)

1st serve to the backhand

ReturnNowTourOwnv MiomirValue
BH through the middle45%+6.4+0.2+2.4+9.1±2.4
BH crosscourt20%+8.8+0.7+1.4+10.9±3.1
BH slice through the middle14%−4.2+0.6+0.9−2.8±2.3
BH down the line10%+4.2+0.8−0.5+4.6±4.2
BH slice crosscourt5%+0.5−1.0−0.8−1.2±2.6

Lean BH crosscourt: +5.1±2.7 per 100 returns v the current mix (134 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv MiomirValue
BH through the middle61%−2.9−0.9+0.3−3.5±2.1
BH crosscourt32%+1.0+1.9+0.4+3.3±2.7
BH down the line8%−0.2+0.4+0.1+0.3±3.8

Lean BH crosscourt: +4.3±2.3 per 100 returns v the current mix (66 returns charted)

Miomir Kecmanovic returning

1st serve to the forehand

ReturnNowTourOwnv MarcelValue
FH through the middle51%+4.3+2.7+1.8+8.7±2.5
FH crosscourt21%+5.5+0.3+0.5+6.3±4.0
FH down the line13%+1.7+4.3+0.7+6.7±4.4
FH slice through the middle10%−4.2−0.1−0.4−4.7±2.1
FH slice down the line3%−4.3−0.3−2.6−7.1±2.7

Lean FH through the middle: +2.7±1.6 per 100 returns v the current mix (845 returns charted)

1st serve to the backhand

ReturnNowTourOwnv MarcelValue
BH crosscourt37%+8.8+3.2−0.1+11.9±2.9
BH through the middle35%+6.4+1.6−1.3+6.7±2.5
BH slice through the middle13%−4.2−0.2+0.3−4.1±2.2
BH slice crosscourt9%+0.5+0.5−0.6+0.4±2.5
BH down the line5%+4.2+0.7−0.7+4.1±4.2

Lean BH crosscourt: +5.6±2.1 per 100 returns v the current mix (721 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv MarcelValue
FH through the middle56%−3.5+0.6−0.6−3.5±2.8
FH crosscourt28%−0.2+2.8+0.3+2.9±4.3
FH down the line16%−1.8+1.1−0.5−1.2±4.5

Lean FH crosscourt: +4.2±3.5 per 100 returns v the current mix (172 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv MarcelValue
BH crosscourt46%+1.0+2.0+1.3+4.3±2.8
BH through the middle42%−2.9+1.8+0.7−0.4±2.3
BH down the line6%−0.2+0.5+0.5+0.7±4.7
FH through the middle3%−2.9+0.9−0.6−2.5±2.3
FH inside-in2%+0.6+2.6+0.3+3.5±3.7

Lean BH crosscourt: +2.6±1.8 per 100 returns v the current mix (550 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.

Marcel Granollers

Favour

ShotEdgeOwnTheirs
FH to their forehand · rally+4.0±2.6−0.1+4.1
FH to their forehand · serve +1+3.8±3.6+0.6+3.3
BH to the middle · serve +1+3.6±2.4+2.2+1.4
FH to the middle · return+2.8±2.3+2.2+0.6
BH to their backhand · return+2.4±2.8+1.2+1.2
FH to the middle · rally+1.8±2.0+1.3+0.5

Avoid

ShotEdgeOwnTheirs
FH to their backhand · rally−0.9±2.9−1.3+0.4
BH slice to their backhand · rally−0.8±2.2−0.3−0.5
BH to the middle · return−0.1±1.9−1.4+1.3
BH slice to the middle · rally+0.3±2.1+0.7−0.4
BH to their backhand · rally+0.4±2.0−0.3+0.8

Miomir Kecmanovic

Favour

ShotEdgeOwnTheirs
FH to their backhand · return+4.9±3.8+4.5+0.4
FH to their forehand · serve +1+3.8±3.3+2.6+1.2
FH to their forehand · rally+3.8±2.6+2.8+1.0
FH to the middle · return+3.1±2.1+2.5+0.6
FH to their backhand · rally+1.9±2.4+1.6+0.3
BH to their backhand · rally+1.4±2.2+0.8+0.6

Avoid

ShotEdgeOwnTheirs
FH to their backhand · serve +1+0.1±3.1+1.0−0.9
BH to the middle · return+0.6±2.1+1.1−0.5
BH to the middle · rally+0.7±1.8+1.3−0.6
BH slice to their backhand · rally+0.9±2.2−0.2+1.1
FH to the middle · rally+1.4±2.0+1.5−0.1

Against Miomir Kecmanovic-like opponents

Marcel Granollers vMatchesServe pts wonReturn pts won
All charted opponents–58.8%36.1%
Players most similar to Miomir Kecmanovic2 43.8%28.4%

Similar by tactical fingerprint: Alex De Minaur, Gael Monfils, Botic Van De Zandschulp, Novak Djokovic, Marcos Giron, Taylor Fritz, Nuno Borges, Arthur Cazaux, Emil Ruusuvuori, Ilya Ivashka. When two players have rarely met, their records against these lookalikes fill the gap.