RallyIQ

Game plan

Peter Polansky v Arthur Cazaux

Every number combines what Peter Polansky does well with what Arthur Cazaux 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 ArthurMatchupOptimal
Wide33%69%73%68.9%±11.733%
Body17%70%66%72.0%±14.54% ▼
T50%75%79%78.5%±9.863% ▲

Optimal v Arthur Cazaux: +0.3±1.1 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +4.3 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowPeter winsv ArthurMatchupOptimal
Wide40%66%75%69.1%±11.839% ▼
Body12%57%65%58.7%±17.30% ▼
T48%67%80%75.2%±9.961% ▲

Optimal v Arthur Cazaux: +0.8±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +4.4 per 100 first serves in before the returner adjusts.

Arthur Cazaux serving

Deuce court

1st serveNowArthur winsv PeterMatchupOptimal
Wide46%72%75%74.4%±10.150% ▲
Body5%60%59%55.1%±17.40% ▼
T49%78%72%75.0%±10.050%

Optimal v Peter Polansky: +0.3±0.4 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.

Ad court

1st serveNowArthur winsv PeterMatchupOptimal
Wide54%72%69%69.0%±12.067% ▲
Body3%69%60%66.2%±16.80% ▼
T43%71%76%74.7%±10.733% ▼

Optimal v Peter Polansky: +0.4±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +3.3 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 ArthurValue
FH through the middle54%+4.3−2.0−2.8−0.5±3.0
FH down the line24%+1.7+1.2−1.8+1.1±4.0
FH slice through the middle12%−4.2−0.2+0.7−3.7±1.9
FH crosscourt10%+5.5−1.6+1.5+5.3±3.6

Lean FH through the middle: −0.6±1.7 per 100 returns v the current mix (50 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv ArthurValue
BH through the middle49%+6.4−0.8−2.0+3.6±2.7
BH crosscourt26%+8.8+0.4+1.6+10.8±3.2
BH down the line15%+4.2−0.6−1.2+2.4±3.8
BH slice through the middle11%−4.2+0.9+0.1−3.2±1.9

Lean BH through the middle: −0.9±1.7 per 100 returns v the current mix (47 returns charted, inside the 90% margin)

Arthur Cazaux returning

1st serve to the forehand

ReturnNowTourOwnv PeterValue
FH through the middle43%+4.3±0.0+1.1+5.3±2.9
FH down the line28%+1.7−3.8+1.0−1.1±4.1
FH slice through the middle14%−4.2−0.9+0.6−4.4±1.9
FH crosscourt9%+5.5−3.4+0.1+2.3±3.5
FH slice down the line5%−4.3+0.5±0.0−3.7±1.8

Lean FH through the middle: +4.0±2.1 per 100 returns v the current mix (243 returns charted)

1st serve to the backhand

ReturnNowTourOwnv PeterValue
BH through the middle41%+6.4+1.0−1.8+5.6±2.8
BH crosscourt24%+8.8−0.7+0.4+8.4±3.4
BH down the line14%+4.2−2.9−1.4−0.1±3.8
BH slice through the middle12%−4.2−1.6+0.8−5.0±2.1
BH slice crosscourt6%+0.5−2.1+1.4−0.2±2.2

Lean BH crosscourt: +5.2±2.9 per 100 returns v the current mix (204 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv PeterValue
FH through the middle53%−3.5+1.3−0.5−2.7±2.7
FH down the line37%−1.8+0.1+1.4−0.3±4.0
FH crosscourt10%−0.2−2.8+1.0−2.0±2.6

Lean FH down the line: +1.4±2.9 per 100 returns v the current mix (60 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv PeterValue
BH through the middle53%−2.9+1.2+0.7−0.9±2.5
BH crosscourt34%+1.0−1.3+0.1−0.2±3.3
BH down the line8%−0.2−1.5+0.3−1.4±3.9
FH through the middle5%−2.9+0.6−0.5−2.7±1.9

Lean BH crosscourt: +0.6±2.5 per 100 returns v the current mix (172 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 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.

Peter Polansky

Favour

ShotEdgeOwnTheirs
FH to their backhand · rally+5.4±3.8+1.3+4.1
FH to their forehand · rally+1.9±3.8−0.3+2.2
FH to the middle · rally+1.4±2.9+0.3+1.1
BH to their backhand · rally+0.8±3.3+0.3+0.5
BH to the middle · rally+0.3±2.6+1.0−0.6

Avoid

ShotEdgeOwnTheirs
BH to the middle · rally+0.3±2.6+1.0−0.6
BH to their backhand · rally+0.8±3.3+0.3+0.5
FH to the middle · rally+1.4±2.9+0.3+1.1
FH to their forehand · rally+1.9±3.8−0.3+2.2
FH to their backhand · rally+5.4±3.8+1.3+4.1

Arthur Cazaux

Favour

ShotEdgeOwnTheirs
BH to their backhand · rally+3.4±3.1+1.1+2.4
FH to the middle · rally+0.8±2.8+1.8−1.0
FH to their forehand · rally−0.1±3.9+1.1−1.2
BH to the middle · return−0.3±3.0+0.5−0.8
FH to their backhand · rally−4.6±3.8−3.6−1.0

Avoid

ShotEdgeOwnTheirs
FH to their backhand · rally−4.6±3.8−3.6−1.0
BH to the middle · return−0.3±3.0+0.5−0.8
FH to their forehand · rally−0.1±3.9+1.1−1.2
FH to the middle · rally+0.8±2.8+1.8−1.0
BH to their backhand · rally+3.4±3.1+1.1+2.4

Against Arthur Cazaux-like opponents

Peter Polansky vMatchesServe pts wonReturn pts won
All charted opponents–54.5%40.9%
Players most similar to Arthur Cazaux1 59.6%34.0%

Similar by tactical fingerprint: Gael Monfils, Jakub Mensik, Jack Draper, Marcos Giron, Taylor Fritz, Nuno Borges, Rinky Hijikata, Miomir Kecmanovic, Gregoire Barrere, Filip Krajinovic. When two players have rarely met, their records against these lookalikes fill the gap.