RallyIQ

Game plan

Dmitry Popko v Jaume Munar

Every number combines what Dmitry Popko does well with what Jaume Munar allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Dmitry Popko wins, best of 3 58%90%: 26%–86% · best of 5: 60%
Serve points won 58.8% / 57.1% Dmitry / Jaume · tour 61.3%
Strengths only, no similarity priors 60%serve 58.9% / 56.9%

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 At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Dmitry Popko's record against Jaume Munar's tactical lookalikes and in their charted head-to-heads (lookalikes: −2.6 on serve, −6.1 on return vs expectation (118 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

CareerDmitryJaume
Direction choice+0.08 ±0.10
better than 78%
−0.01 ±0.08
better than 53%
Shot selection−0.13 ±0.46
better than 34%
−0.31 ±0.21
better than 22%
Execution−0.22 ±0.39
better than 57%
+0.60 ±0.36
better than 86%

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.

Dmitry Popko serving

Deuce court

1st serveNowDmitry winsv JaumeMatchupOptimal
Wide42%69%72%68.1%±9.455% ▲
Body12%67%54%58.0%±14.40% ▼
T47%71%71%66.7%±9.845% ▼

Optimal v Jaume Munar: +0.8±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +1.8 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowDmitry winsv JaumeMatchupOptimal
Wide58%69%70%65.5%±9.271% ▲
Body13%53%63%53.4%±14.30% ▼
T28%65%69%62.5%±11.729%

Optimal v Jaume Munar: +0.8±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +2.5 per 100 first serves in before the returner adjusts.

Jaume Munar serving

Deuce court

1st serveNowJaume winsv DmitryMatchupOptimal
Wide55%68%65%59.0%±11.268% ▲
Body10%65%66%68.1%±12.20% ▼
T35%73%78%75.9%±9.232% ▼

Optimal v Dmitry Popko: +0.2±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +10.1 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowJaume winsv DmitryMatchupOptimal
Wide51%68%68%62.9%±10.838% ▼
Body14%64%60%61.5%±13.724% ▲
T35%66%64%57.6%±10.338% ▲

Optimal v Dmitry Popko: +0.1±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +2.1 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.

Dmitry Popko returning

1st serve to the forehand

ReturnNowTourOwnv JaumeValue
FH through the middle56%+4.3±0.0+1.2+5.5±2.5
FH crosscourt27%+5.5−0.8+2.3+7.0±3.7
FH down the line17%+1.7−0.6+0.3+1.3±3.7

Lean FH crosscourt: +1.9±3.2 per 100 returns v the current mix (64 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv JaumeValue
BH through the middle48%+6.4+2.2−0.8+7.9±2.4
BH crosscourt32%+8.8+1.1+0.3+10.3±3.1
BH down the line21%+4.2+0.9+1.6+6.7±4.1

Lean BH crosscourt: +1.9±2.5 per 100 returns v the current mix (63 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv JaumeValue
BH through the middle39%−2.9+1.2−1.6−3.3±2.3
FH through the middle24%−2.9−0.2+1.1−2.1±1.9
BH crosscourt16%+1.0+0.2−1.1+0.2±2.6
BH down the line11%−0.2+0.9+3.3+4.0±4.2
FH inside-out10%+1.0+0.4−0.2+1.2±2.8

Lean FH through the middle: −0.9±1.8 per 100 returns v the current mix (62 returns charted, inside the 90% margin)

Jaume Munar returning

1st serve to the forehand

ReturnNowTourOwnv DmitryValue
FH through the middle44%+4.3−0.4+0.5+4.3±2.7
FH slice through the middle22%−4.2+0.7+0.1−3.4±1.7
FH down the line13%+1.7−0.2−0.9+0.6±4.1
FH crosscourt11%+5.5+2.3−2.2+5.5±4.1
FH slice down the line7%−4.3+1.8±0.0−2.4±2.3

Lean FH crosscourt: +4.0±3.9 per 100 returns v the current mix (701 returns charted)

1st serve to the backhand

ReturnNowTourOwnv DmitryValue
BH through the middle42%+6.4+2.3−0.1+8.6±2.5
BH crosscourt27%+8.8+1.2+0.7+10.6±3.2
BH slice through the middle13%−4.2−0.1−0.7−4.9±2.3
BH down the line10%+4.2+1.9±0.0+6.1±4.0
BH slice crosscourt6%+0.5−1.6+0.7−0.3±2.6

Lean BH crosscourt: +4.3±2.6 per 100 returns v the current mix (760 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv DmitryValue
FH through the middle44%−3.5+2.5−0.4−1.4±2.8
FH crosscourt25%−0.2+0.4−0.3−0.1±4.1
FH down the line21%−1.8+0.8−0.1−1.1±4.5
FH slice through the middle6%−12.7+0.8±0.0−11.9±1.3
FH slice down the line4%−9.4+0.6±0.0−8.8±1.4

Lean FH crosscourt: +1.8±3.4 per 100 returns v the current mix (170 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv DmitryValue
BH through the middle47%−2.9−0.7−1.1−4.7±2.2
BH crosscourt29%+1.0+1.3+0.3+2.6±3.0
BH down the line13%−0.2+2.2±0.0+1.9±3.5
FH through the middle6%−2.9−1.1−0.4−4.4±2.4
FH inside-in3%+0.6−0.1−0.3+0.2±3.7

Lean BH crosscourt: +4.1±2.4 per 100 returns v the current mix (456 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 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.

Dmitry Popko

Favour

ShotEdgeOwnTheirs
FH to the middle · rally+2.7±2.9+2.5+0.2
BH to the middle · return+2.5±3.1+3.1−0.7
FH to their forehand · rally+2.2±3.3+0.2+2.0
FH to their backhand · serve +1+1.9±4.5+2.2−0.3
FH to their backhand · rally+1.5±3.2+1.5±0.0
BH to the middle · rally+1.3±2.7+1.5−0.1

Avoid

ShotEdgeOwnTheirs
FH to their forehand · serve +1−3.5±4.9−5.1+1.6
FH to the middle · return+0.2±3.2−0.3+0.5
BH to their backhand · rally+0.2±2.5+0.2±0.0
BH to the middle · rally+1.3±2.7+1.5−0.1
FH to their backhand · rally+1.5±3.2+1.5±0.0

Jaume Munar

Favour

ShotEdgeOwnTheirs
BH to their forehand · rally+10.4±5.4+3.6+6.8
BH to the middle · rally+4.9±2.6+1.9+3.0
FH to the middle · rally+3.6±2.8+1.1+2.5
BH to their backhand · rally+2.4±2.6+1.9+0.5
BH to the middle · return+2.2±3.1+1.7+0.4
FH to the middle · return+0.5±3.4+0.5±0.0

Avoid

ShotEdgeOwnTheirs
FH to their forehand · serve +1−3.1±5.2+0.2−3.4
FH to their forehand · rally−2.7±3.4−0.6−2.1
FH to their backhand · rally−2.0±3.4+1.1−3.1
FH to their backhand · serve +1+0.2±4.3−1.5+1.7
FH to the middle · return+0.5±3.4+0.5±0.0

Against Jaume Munar-like opponents

Dmitry Popko vMatchesServe pts wonReturn pts won
All charted opponents–57.6%41.7%
Players most similar to Jaume Munar1 55.4%29.1%

Similar by tactical fingerprint: Brandon Nakashima, Novak Djokovic, Jenson Brooksby, Karen Khachanov, Pablo Carreno Busta, Andy Murray, Bernabe Zapata Miralles, Mikhail Kukushkin, Carlos Berlocq, Guillermo Coria. When two players have rarely met, their records against these lookalikes fill the gap.