RallyIQ

Game plan

Peter Polansky v Jaume Munar

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

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.

Peter Polansky serving

Deuce court

1st serveNowPeter winsv JaumeMatchupOptimal
Wide33%69%72%67.9%±11.046% ▲
Body17%70%54%61.2%±14.24% ▼
T50%75%71%71.4%±10.550%

Optimal v Jaume Munar: +0.7±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +2.9 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowPeter winsv JaumeMatchupOptimal
Wide40%66%70%63.0%±11.345% ▲
Body12%57%63%57.0%±14.50% ▼
T48%67%69%63.8%±10.955% ▲

Optimal v Jaume Munar: +0.4±0.8 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +1.1 per 100 first serves in before the returner adjusts.

Jaume Munar serving

Deuce court

1st serveNowJaume winsv PeterMatchupOptimal
Wide55%68%75%69.9%±10.151% ▼
Body10%65%59%60.8%±14.30% ▼
T35%73%72%69.7%±10.249% ▲

Optimal v Peter Polansky: +0.3±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +0.9 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowJaume winsv PeterMatchupOptimal
Wide51%68%69%64.1%±11.951%
Body14%64%60%61.5%±13.71% ▼
T35%66%76%69.8%±10.848% ▲

Optimal v Peter Polansky: +0.2±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +4.1 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.

Peter Polansky returning

1st serve to the forehand

ReturnNowTourOwnv JaumeValue
FH through the middle54%+4.3−2.0+1.2+3.5±2.5
FH down the line24%+1.7+1.2+0.3+3.2±3.7
FH slice through the middle12%−4.2−0.2−0.5−4.9±1.9
FH crosscourt10%+5.5−1.6+2.3+6.2±3.1

Lean FH through the middle: +0.8±1.5 per 100 returns v the current mix (50 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv JaumeValue
BH through the middle49%+6.4−0.8−0.8+4.8±2.3
BH crosscourt26%+8.8+0.4+0.3+9.5±2.8
BH down the line15%+4.2−0.6+1.6+5.2±3.7
BH slice through the middle11%−4.2+0.9−1.1−4.4±2.0

Lean BH through the middle: −0.3±1.5 per 100 returns v the current mix (47 returns charted, inside the 90% margin)

Jaume Munar returning

1st serve to the forehand

ReturnNowTourOwnv PeterValue
FH through the middle44%+4.3−0.4+1.1+4.9±2.6
FH slice through the middle22%−4.2+0.7+0.6−2.9±1.8
FH down the line13%+1.7−0.2+1.0+2.5±4.0
FH crosscourt11%+5.5+2.3+0.1+7.9±3.6
FH slice down the line7%−4.3+1.8±0.0−2.4±2.3

Lean FH crosscourt: +5.5±3.5 per 100 returns v the current mix (701 returns charted)

1st serve to the backhand

ReturnNowTourOwnv PeterValue
BH through the middle42%+6.4+2.3−1.8+6.9±2.4
BH crosscourt27%+8.8+1.2+0.4+10.4±3.1
BH slice through the middle13%−4.2−0.1+0.8−3.4±2.1
BH down the line10%+4.2+1.9−1.4+4.7±3.9
BH slice crosscourt6%+0.5−1.6+1.4+0.3±2.6

Lean BH crosscourt: +4.7±2.5 per 100 returns v the current mix (760 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv PeterValue
FH through the middle44%−3.5+2.5−0.5−1.4±2.7
FH crosscourt25%−0.2+0.4+1.0+1.1±3.6
FH down the line21%−1.8+0.8+1.4+0.4±4.2
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: +2.5±3.1 per 100 returns v the current mix (170 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv PeterValue
BH through the middle47%−2.9−0.7+0.7−2.8±2.3
BH crosscourt29%+1.0+1.3+0.1+2.4±3.1
BH down the line13%−0.2+2.2+0.3+2.3±4.4
FH through the middle6%−2.9−1.1−0.5−4.5±2.2
FH inside-in3%+0.6−0.1+1.0+1.5±3.2

Lean BH crosscourt: +2.9±2.5 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.

Peter Polansky

Favour

ShotEdgeOwnTheirs
FH to their backhand · rally+2.0±2.9+1.3+0.7
FH to their forehand · rally+1.8±2.9−0.3+2.1
FH to the middle · rally+1.4±2.2+0.3+1.2
BH to the middle · rally+0.7±2.0+1.0−0.3
BH to their backhand · rally+0.5±2.3+0.3+0.2

Avoid

ShotEdgeOwnTheirs
BH to their backhand · rally+0.5±2.3+0.3+0.2
BH to the middle · rally+0.7±2.0+1.0−0.3
FH to the middle · rally+1.4±2.2+0.3+1.2
FH to their forehand · rally+1.8±2.9−0.3+2.1
FH to their backhand · rally+2.0±2.9+1.3+0.7

Jaume Munar

Favour

ShotEdgeOwnTheirs
BH to their backhand · rally+4.5±2.3+2.1+2.4
FH to the middle · rally+0.3±2.2+1.3−1.0
BH to the middle · return+0.1±2.2+0.9−0.8
FH to their backhand · rally−0.2±2.9+0.9−1.0
FH to their forehand · rally−1.4±2.9−0.2−1.2

Avoid

ShotEdgeOwnTheirs
FH to their forehand · rally−1.4±2.9−0.2−1.2
FH to their backhand · rally−0.2±2.9+0.9−1.0
BH to the middle · return+0.1±2.2+0.9−0.8
FH to the middle · rally+0.3±2.2+1.3−1.0
BH to their backhand · rally+4.5±2.3+2.1+2.4

Against Jaume Munar-like opponents

Peter Polansky vMatchesServe pts wonReturn pts won
All charted opponents–54.5%40.9%

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.