RallyIQ

Game plan

Mischa Zverev v Cedric Pioline

Every number combines what Mischa Zverev does well with what Cedric Pioline allows, each measured against the tour average and shrunk toward it when the sample is thin. Flip perspective

Forecast

Mischa Zverev wins, best of 3 20%90%: 3%–60% · best of 5: 15%
Serve points won 57.2% / 63.7% Mischa / Cedric · tour 61.3%
Strengths only, no similarity priors 20%serve 57.2% / 63.7%

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. At least one of them is no longer active or has too little charted in the last three seasons, so both are compared on their careers.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 Mischa Zverev's record against Cedric Pioline's tactical lookalikes and in their charted head-to-heads. 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

CareerMischaCedric
Direction choice−0.58 ±0.25
better than 1%
−0.39 ±0.13
better than 3%
Shot selection+0.83 ±0.35
better than 99%
−0.33 ±0.27
better than 20%
Execution−1.24 ±1.08
better than 18%
−1.11 ±0.54
better than 21%

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.

Mischa Zverev serving

Deuce court

1st serveNowMischa winsv CedricMatchupOptimal
Wide37%69%80%77.1%±8.150% ▲
Body21%67%62%66.2%±12.021%
T42%60%78%64.4%±9.029% ▼

Optimal v Cedric Pioline: +0.7±0.9 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +7.6 per 100 first serves in before the returner adjusts.

Ad court

1st serveNowMischa winsv CedricMatchupOptimal
Wide42%68%80%76.0%±7.155% ▲
Body13%54%65%56.3%±13.90% ▼
T45%66%70%64.3%±8.945%

Optimal v Cedric Pioline: +0.9±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving wide every time would read +7.8 per 100 first serves in before the returner adjusts.

Cedric Pioline serving

Deuce court

1st serveNowCedric winsv MischaMatchupOptimal
Wide42%74%73%73.8%±7.755% ▲
Body15%67%64%67.9%±12.32% ▼
T43%74%76%74.2%±8.043%

Optimal v Mischa Zverev: +0.9±1.0 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.

Ad court

1st serveNowCedric winsv MischaMatchupOptimal
Wide48%73%73%73.1%±7.948%
Body16%64%70%71.3%±11.33% ▼
T36%74%72%73.6%±8.749% ▲

Optimal v Mischa Zverev: +0.6±1.0 per 100 first serves (faults included) over the current mix, inside the 90% margin. Serving T every time would read +0.6 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.

Mischa Zverev returning

1st serve to the forehand

ReturnNowTourOwnv CedricValue
FH through the middle53%+4.3+2.1−2.6+3.8±2.9
FH down the line32%+1.7+1.7−5.3−1.8±4.5
FH crosscourt15%+5.5−1.3+0.4+4.6±4.2

Lean FH crosscourt: +2.5±4.1 per 100 returns v the current mix (146 returns charted, inside the 90% margin)

1st serve to the backhand

ReturnNowTourOwnv CedricValue
BH through the middle27%+6.4−0.8−2.5+3.1±2.7
BH slice through the middle27%−4.2+0.4−0.5−4.3±2.4
BH crosscourt17%+8.8+0.1+1.2+10.1±3.5
BH down the line10%+4.2+4.3−1.4+7.1±4.2
BH slice down the line10%−8.4+2.1+1.7−4.6±3.2

Lean BH crosscourt: +8.4±3.1 per 100 returns v the current mix (135 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv CedricValue
FH down the line44%−1.8+4.4−2.5+0.2±4.6
FH through the middle35%−3.5−2.8−0.1−6.5±2.7
FH crosscourt22%−0.2−2.7+1.6−1.3±4.0

Lean FH down the line: +2.6±2.9 per 100 returns v the current mix (55 returns charted, inside the 90% margin)

2nd serve to the backhand

ReturnNowTourOwnv CedricValue
BH down the line33%−0.2+0.3+1.4+1.6±4.6
BH crosscourt31%+1.0+2.0−2.5+0.5±3.1
BH through the middle25%−2.9+1.4+0.5−1.0±2.2
BH slice through the middle11%−11.3+0.8+0.7−9.8±2.0

Lean BH down the line: +2.2±3.3 per 100 returns v the current mix (55 returns charted, inside the 90% margin)

Cedric Pioline returning

1st serve to the forehand

ReturnNowTourOwnv MischaValue
FH through the middle44%+4.3−3.6+0.6+1.3±2.9
FH down the line35%+1.7−2.6−1.0−1.9±4.4
FH crosscourt19%+5.5+0.6+2.5+8.6±4.4
FH slice through the middle3%−4.2−0.5±0.0−4.7±1.1

Lean FH crosscourt: +7.2±4.1 per 100 returns v the current mix (274 returns charted)

1st serve to the backhand

ReturnNowTourOwnv MischaValue
BH slice through the middle31%−4.2−2.2−0.8−7.3±2.4
BH through the middle25%+6.4−2.3−1.2+2.9±2.8
BH slice crosscourt17%+0.5−0.8+1.3+1.0±2.8
BH crosscourt12%+8.8−1.6−0.3+6.8±3.6
BH down the line9%+4.2−4.5+0.5+0.2±4.5

Lean BH crosscourt: +7.9±3.4 per 100 returns v the current mix (311 returns charted)

2nd serve to the forehand

ReturnNowTourOwnv MischaValue
FH through the middle48%−3.5−0.6−0.5−4.6±2.9
FH crosscourt26%−0.2−1.3+5.1+3.6±4.2
FH down the line26%−1.8−0.1−1.2−3.1±4.1

Lean FH crosscourt: +5.7±3.6 per 100 returns v the current mix (93 returns charted)

2nd serve to the backhand

ReturnNowTourOwnv MischaValue
BH through the middle47%−2.9−0.9−1.0−4.8±2.4
BH crosscourt23%+1.0+0.4+2.4+3.9±3.3
BH down the line11%−0.2+1.3+3.0+4.1±4.8
BH slice crosscourt5%−4.0−2.0±0.0−6.0±1.5
BH slice through the middle5%−11.3−1.9±0.0−13.2±1.5

Lean BH down the line: +6.2±4.5 per 100 returns v the current mix (273 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.

Mischa Zverev

Favour

ShotEdgeOwnTheirs
BH to their backhand · return+4.6±3.9+3.6+1.0
FH to their backhand · return+0.5±4.7−0.9+1.4
FH volley to their backhand · serve +1−0.4±5.2−1.5+1.0
FH to their backhand · rally−1.4±4.1−1.0−0.4
FH to the middle · return−1.9±3.0+0.5−2.4
BH volley to their backhand · serve +1−2.2±5.1−0.3−1.9

Avoid

ShotEdgeOwnTheirs
FH to their forehand · return−4.5±5.5+3.3−7.8
BH to the middle · return−3.5±3.4−1.8−1.6
BH to their forehand · return−2.5±6.0+1.9−4.4
BH volley to their backhand · serve +1−2.2±5.1−0.3−1.9
FH to the middle · return−1.9±3.0+0.5−2.4

Cedric Pioline

Favour

ShotEdgeOwnTheirs
FH to their forehand · return +1+10.7±5.4+2.6+8.1
FH to their backhand · return+4.5±4.6−0.9+5.3
FH to their forehand · serve +1+3.2±5.1−2.5+5.6
BH to their backhand · return+1.4±3.9−1.5+2.9
FH to their backhand · rally+1.3±4.3+0.1+1.3
FH to their forehand · rally+0.1±4.7−3.0+3.2

Avoid

ShotEdgeOwnTheirs
FH to the middle · return−3.0±3.5−3.2+0.2
BH to the middle · return−2.5±3.2−1.9−0.6
BH to their forehand · rally−1.8±6.1−2.6+0.9
FH to their backhand · serve +1−1.7±4.9−1.4−0.2
BH to their forehand · return−1.3±5.9−4.7+3.4

Against Cedric Pioline-like opponents

Mischa Zverev vMatchesServe pts wonReturn pts won
All charted opponents–56.4%33.2%

Similar by tactical fingerprint: Mardy Fish, Ivan Ljubicic, Nicolas Kiefer, Mario Ancic, Andrei Pavel, Jonas Bjorkman, Wayne Ferreira, Todd Martin, Malivai Washington, Brad Gilbert. When two players have rarely met, their records against these lookalikes fill the gap.