RallyIQ

ATP · Left-handed · 13 charted matches · 2013–2020

Mischa Zverev

Archetype: Serve-and-volleyer · Net rusher

Against an average opponent

Serve points won 60.2% ±3.3 raw 56.4% · tour 63.4% · 773 points
Return points won 38.5% ±3.4 raw 33.2% · tour 36.6% · 725 points

Serve and return points won, refitted against every opponent at once so a record built on weak or strong opposition is put on the same scale. Career, all surfaces, with a 90% margin. Raw is the plain share of points won.

Value per 100 shots

Direction choice −0.58 ±0.25 better than 1% of ATP · raw −0.59
Shot selection +0.83 ±0.35 better than 99% of ATP · raw +0.82
Execution −1.24 ±1.08 better than 18% of ATP · raw −1.44

Points gained per 100 shots compared with an average tour player in the same position, adjusted for the strength of the opponents faced, with a 90% margin (shots clustered by match). Raw is before the opponent adjustment. Built on 3,002 shots.

Shot expected value

The share of points Mischa Zverev goes on to win after each option in the positions they face most often, shrunk toward tour average when the sample is small. Showing the 8 most-used options; teal marks the best one with at least 30 shots.

Serve +1: drive to your middle, you at net

position worth 61% to the average player · 94 shots

OptionUsedWin %Tour
FH volley crosscourt 21% 61.8%±12.6 68.7%
BH volley crosscourt 21% 59.0%±12.8 62.9%
FH volley down the line 17% 49.3%±13.7 63.8%
BH volley through the middle 15% 46.0%±14.1 43.2%
BH volley down the line 13% 52.1%±14.5 58.4%
FH volley through the middle 13% 41.6%±14.3 46.6%

Return +1: drive to your backhand side

position worth 44% to the average player · 89 shots

OptionUsedWin %Tour
BH slice crosscourt 21% 31.2%±12.2 40.9%
BH through the middle 19% 39.5%±13.2 43.0%
BH crosscourt 19% 55.1%±13.5 46.9%
BH slice through the middle 18% 37.5%±13.3 32.6%
BH slice down the line 16% 31.4%±13.1 33.3%

Rally, shots 5–8: drive to your backhand side

position worth 46% to the average player · 89 shots

OptionUsedWin %Tour
BH crosscourt 26% 50.0%±12.5 47.6%
BH slice crosscourt 19% 41.9%±13.3 42.5%
BH slice through the middle 16% 32.4%±13.2 35.1%
BH down the line 16% 36.1%±13.6 46.4%
BH through the middle 15% 38.6%±13.9 43.7%

Rally, shots 5–8: drive to your forehand side

position worth 44% to the average player · 84 shots

OptionUsedWin %Tour
FH crosscourt 45% 36.7%±10.4 46.6%
FH through the middle 27% 47.2%±12.5 41.5%
FH down the line 27% 46.4%±12.5 44.7%

Serve under pressure

Pressure predictability index −3 How much less varied Mischa Zverev's first-serve direction gets on break points. Positive means easier to read. Based on 96 break-point first serves.

Deuce court

1st serveUsageBreak ptWon when in
Wide 37% 33% 69% / 73%
Body 22% 10% ▼ 67% / 63%
T 41% 57% ▲ 60% / 75%

380 normal · 21 break-point 1st serves

Ad court

1st serveUsageBreak ptWon when in
Wide 42% 43% 68% / 73%
Body 11% 19% 54% / 63%
T 46% 39% 66% / 72%

297 normal · 75 break-point 1st serves

Is the serve mix in equilibrium?

Game theory says a well-mixed server wins equally often with every direction they use. If one direction wins more, it's underused and points are being left behind. This is the minimax test Walker and Wooders ran on Wimbledon finals, applied to every charted first serve. Win rates include faults. "Optimal" allows for returners reading a habit. No measurable response (−0.05 ± 0.15 points per 100 serves for every 10 points of habitual usage), measured from ATP servers whose mix drifted between matches. Shifts stay within the range servers' habits actually vary, the only range that response was measured over.

Deuce court

1st serveUsagePoints wonOptimal
Wide37% 53.5%±6.1 n=149 50% ▲
Body21% 55.7%±7.7 n=84 8% ▼
T42% 52.5%±5.8 n=168 42%

Consistent with an optimal mix (p = 0.77).
Optimal mix: +0.2 per 100 first serves.

Ad court

1st serveUsagePoints wonOptimal
Wide42% 62.2%±5.8 n=157 55% ▲
Body13% 54.8%±9.3 n=48 0% ▼
T45% 58.6%±5.8 n=167 45%

Consistent with an optimal mix (p = 0.36).
Optimal mix: +0.7 per 100 first serves.

Exploitability 0.46 points per 100 first serves What the optimal mix would win over the current one, both courts. More exploitable than 100% of ATP servers. Tested on matches they weren't fitted on, ATP mixes picked this way win 0.33 per 100 first serves on average.

Repeating the previous direction to the same court: −7.1±6.7 points per 100 against switching. Negative means returners read repeats. Tour-wide, repeating costs women about 0.4 points per 100 and costs men nothing, so men's returners don't measurably anticipate direction. (239 repeats, 508 switches.)

Return by serve direction

Return points won against each serve direction, compared with the tour average.

ServeCourtDirectionPointsWonvs tour
1stAd courtBody 31 30% −7.3±9.6
1stAd courtT 75 28% ±0.0±7.2
1stAd courtWide 106 27% +0.1±6.3
1stDeuce courtBody 26 36% −1.0±10.5
1stDeuce courtT 103 24% −0.6±6.1
1stDeuce courtWide 103 27% ±0.0±6.3
2ndAd courtBody 61 47% −2.3±8.6
2ndAd courtT 34 54% +5.1±10.2
2ndAd courtWide 40 35% −13.4±9.4
2ndDeuce courtBody 64 43% −5.7±8.4
2ndDeuce courtT 35 51% +0.9±10.2
2ndDeuce courtWide 46 45% −2.8±9.4

Signature patterns

Recurring sequences that win more than Mischa Zverev's own baseline, ranked by edge weighted by how often they're used.

Serve → +1

  1. Wide serve (ad court) → FH volley down the line used 5.6% · won 69% · +0.5±10.5 vs own baseline

Return

  1. Not enough data

Rally, consecutive own shots

  1. Not enough data

Strengths and vulnerabilities

Value per 100 shots compared with the average player hitting (strengths) or facing (vulnerabilities) the same shot. Only shot types seen at least 120 times.

Hurts opponents most with

Wide 1st serve · ad court+3.0148
FH to the middle · return+0.5127
T 1st serve · ad court−0.4148
T 1st serve · deuce court−2.2158
Wide 1st serve · deuce court−4.5131

Most exposed to

FH to their forehand · rally−1.1128
Wide 1st serve · deuce court−0.7138
FH to the middle · return−0.3122
FH to their backhand · serve +1±0.0128
Wide 1st serve · ad court+0.2170

Active players who are best at the shot in the top weakness: Roberto Carballes Baena, Roberto Bautista Agut, Miomir Kecmanovic, Pedro Martinez, Camilo Ugo Carabelli

Tactical fingerprint

Each bar shows how far a style trait is from the ATP average, in standard deviations.

Serve & volley64%
Points at net28%
Through the middle30%
Backhand slice40%
FH down the line37%
T serves · ad45%
Point-ending shots28.4%
Deep returns32%
BH down the line22%
1st serve in61%
Unforced errors / shot9.9%
Chipped returns14%
T serves · deuce42%
Drop shots / shot0.8%
Wide serves · deuce37%
Avg rally length3.3
Wide serves · ad42%
Forehand share47%
Run-around forehands1%

Plays most like

  1. David Wheaton 1990–1994 plan v
  2. Radek Stepanek 2004–2014 plan v
  3. John Mcenroe 1978–1992 plan v
  4. Michael Stich 1990–1997 plan v
  5. Todd Martin 1992–2001 plan v
  6. Jonas Bjorkman 1997–2006 plan v
  7. Malivai Washington 1992–1996 plan v
  8. Cedric Pioline 1992–2000 plan v

Closest from another era

  1. David Wheaton 1990–1994
  2. John Mcenroe 1978–1992
  3. Michael Stich 1990–1997

Charted matches