RallyIQ

Game plan

Miomir Kecmanovic v Jesper De Jong

Every number combines what Miomir Kecmanovic does well with what Jesper De Jong 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 42%90%: 17%–71% · best of 5: 40%
Serve points won 61.0% / 62.5% Miomir / Jesper · tour 63.5%
Strengths only, no similarity priors 44%serve 61.5% / 62.7%

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. Both were charted enough in the last three seasons, so those carry the most weight. The result is then nudged by Miomir Kecmanovic's record against Jesper De Jong's tactical lookalikes and in their charted head-to-heads (lookalikes: −4.1 on serve, +1.8 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

CareerMiomirJesper
Direction choice−0.06 ±0.09
better than 43%
−0.14 ±0.06
better than 21%
Shot selection−0.28 ±0.10
better than 25%
+0.30 ±0.12
better than 80%
Execution+1.00 ±0.38
better than 95%
−0.72 ±0.35
better than 36%
Points left on the table2.31 ±0.15
lower than 84%
2.79 ±0.11
lower than 32%

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: Miomir Kecmanovic +1.10, Jesper De Jong +1.21. 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.

Miomir Kecmanovic serving

Deuce court

1st serveNowMiomir winsv JesperMatchupOptimal
Wide41%68%72%66.5%±5.242%
Body16%61%64%61.5%±8.12% ▼
T43%73%75%73.7%±4.656% ▲

Optimal v Jesper De Jong: +1.0±0.8 per 100 first serves (faults included) over the current mix. Serving T every time would read +4.9 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowMiomir winsv JesperMatchupOptimal
Wide45%71%73%72.1%±4.858% ▲
Body14%65%58%60.1%±9.01% ▼
T41%68%64%59.4%±5.941%

Optimal v Jesper De Jong: +0.8±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +6.9 per 100 first serves in before the returner adjusts.

Jesper De Jong serving

Deuce court

1st serveNowJesper winsv MiomirMatchupOptimal
Wide44%73%76%75.8%±4.239% ▼
Body7%54%58%48.7%±9.90% ▼
T48%81%80%85.1%±3.561% ▲

Optimal v Miomir Kecmanovic: +1.3±0.6 per 100 first serves (faults included) over the current mix. Serving T every time would read +6.8 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowJesper winsv MiomirMatchupOptimal
Wide44%73%73%73.3%±4.857% ▲
Body9%56%58%50.4%±10.30% ▼
T47%71%73%72.3%±4.843% ▼

Optimal v Miomir Kecmanovic: +0.6±0.7 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +2.4 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 JesperValue
FH through the middle51%+4.3+2.7+0.2+7.1±2.1
FH crosscourt21%+5.5+0.3−3.4+2.3±4.0
FH down the line13%+1.7+4.3−2.4+3.6±4.1
FH slice through the middle10%−4.2−0.1−1.0−5.3±2.3
FH slice down the line3%−4.3−0.3−2.0−6.5±3.1

Lean FH through the middle: +3.3±1.4 per 100 returns v the current mix (845 returns charted)

1st serve to the backhand

ReturnNowTourOwnv JesperValue
BH crosscourt37%+8.8+3.2−1.4+10.7±2.8
BH through the middle35%+6.4+1.6−2.1+5.9±2.1
BH slice through the middle13%−4.2−0.2−2.3−6.8±2.4
BH slice crosscourt9%+0.5+0.5−5.2−4.2±3.0
BH down the line5%+4.2+0.7+0.1+5.0±4.5

Lean BH crosscourt: +5.9±2.0 per 100 returns v the current mix (721 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv JesperValue
FH through the middle56%−3.5+0.6−0.8−3.7±2.5
FH crosscourt28%−0.2+2.8+0.2+2.8±4.3
FH down the line16%−1.8+1.1−2.4−3.0±4.4

Lean FH crosscourt: +4.5±3.5 per 100 returns v the current mix (172 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv JesperValue
BH crosscourt46%+1.0+2.0−0.3+2.7±2.6
BH through the middle42%−2.9+1.8−1.1−2.2±1.9
BH down the line6%−0.2+0.5−1.0−0.7±4.8
FH through the middle3%−2.9+0.9−0.8−2.8±1.9
FH inside-in2%+0.6+2.6+0.2+3.3±3.8

Lean BH crosscourt: +2.6±1.6 per 100 returns v the current mix (550 returns charted)

Jesper De Jong returning

1st serve to the forehand

ReturnNowTourOwnv MiomirValue
FH through the middle50%+4.3−0.1+1.1+5.3±2.0
FH down the line18%+1.7−1.9+1.8+1.6±4.0
FH crosscourt15%+5.5+0.1+4.0+9.5±4.0
FH slice through the middle12%−4.2−2.1+0.5−5.8±2.3
FH slice down the line5%−4.3−0.9+1.0−4.2±3.1

Lean FH crosscourt: +6.2±3.7 per 100 returns v the current mix (543 returns charted)

1st serve to the backhand

ReturnNowTourOwnv MiomirValue
BH through the middle37%+6.4−0.2+2.4+8.6±2.0
BH slice through the middle18%−4.2−1.3+0.9−4.6±2.3
BH crosscourt18%+8.8−2.8+1.4+7.5±3.0
BH down the line15%+4.2−1.5−0.5+2.3±4.5
BH slice crosscourt8%+0.5−0.8−0.8−1.1±3.0

Lean BH through the middle: +5.3±1.6 per 100 returns v the current mix (672 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv MiomirValue
FH through the middle61%−3.5−0.7−0.1−4.3±2.4
FH crosscourt21%−0.2−0.4+3.3+2.7±4.1
FH down the line18%−1.8+0.7+3.7+2.5±4.5

Lean FH crosscourt: +4.3±3.7 per 100 returns v the current mix (156 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv MiomirValue
BH through the middle43%−2.9±0.0+0.3−2.6±1.9
BH crosscourt26%+1.0−0.9+0.4+0.5±2.7
FH through the middle11%−2.9+0.9−0.1−2.1±2.1
FH inside-out8%+1.0+2.1+3.7+6.7±3.6
BH down the line7%−0.2−2.4+0.1−2.5±4.7

Lean FH inside-out: +7.7±3.5 per 100 returns v the current mix (442 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.

Miomir Kecmanovic

Favour

ShotEdgeOwnTheirs
FH to their forehand · rally+3.7±1.6+2.8+0.9
FH to their forehand · return +1+3.6±3.3+3.2+0.5
BH to the middle · rally+3.3±1.4+1.3+2.0
BH to their forehand · rally+3.2±2.8+3.2+0.1
BH to their forehand · return+2.9±4.0+3.3−0.4
FH to the middle · rally+2.8±1.5+1.5+1.2

Avoid

ShotEdgeOwnTheirs
FH volley to their forehand · rally−5.1±5.9−5.4+0.3
BH slice to the middle · rally−4.0±2.1−0.7−3.3
BH slice to the middle · return−2.1±2.4+0.1−2.2
BH slice to their backhand · rally−1.6±2.1−0.2−1.4
BH slice to their backhand · return +1−1.0±2.6±0.0−1.0

Jesper De Jong

Favour

ShotEdgeOwnTheirs
FH to their forehand · rally+4.7±1.8+0.5+4.1
FH to their forehand · serve +1+4.3±2.8+1.0+3.3
FH to their backhand · serve +1+4.2±2.2+0.5+3.7
BH to their backhand · return +1+3.2±2.7+3.0+0.2
FH to their forehand · return+2.7±3.6−1.3+4.0
FH to their backhand · return+2.7±3.0−0.4+3.0

Avoid

ShotEdgeOwnTheirs
BH slice to their forehand · rally−4.1±3.4−4.7+0.6
BH volley to their forehand · rally−3.8±6.1−5.5+1.7
BH to their forehand · return−2.1±3.9−1.5−0.7
FH slice to the middle · return−2.1±2.3−2.5+0.4
BH to their forehand · serve +1−1.9±4.5−2.1+0.2

Against Jesper De Jong-like opponents

Miomir Kecmanovic vMatchesServe pts wonReturn pts won
All charted opponents–62.7%35.0%
Players most similar to Jesper De Jong2 56.5%38.3%

Similar by tactical fingerprint: Gael Monfils, Botic Van De Zandschulp, Alejandro Tabilo, Nuno Borges, Arthur Cazaux, Mackenzie Mcdonald, Matteo Arnaldi, Otto Virtanen, Andreas Seppi. When two players have rarely met, their records against these lookalikes fill the gap.