RallyIQ

ATP · Right-handed · 8 charted matches · 2001–2006

Max Mirnyi

Archetype: Serve-and-volleyer · Net rusher (6)

Against an average opponent

Serve points won 66.2% ±3.4 raw 65.8% · tour 63.4% · 757 points
Return points won 34.1% ±3.6 raw 27.0% · tour 36.6% · 649 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 −0.09 ±0.21 better than 32% of ATP · raw −0.09
Shot selection +1.40 ±0.23 better than 100% of ATP · raw +1.39
Execution −1.00 ±0.99 better than 25% of ATP · raw −1.14

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 2,443 shots.

Shot expected value

The share of points Max Mirnyi 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 · 70 shots

OptionUsedWin %Tour
BH volley crosscourt 33% 57.2%±12.4 62.9%
FH volley down the line 21% 65.0%±13.3 63.8%
FH volley crosscourt 16% 63.7%±14.2 68.7%
BH volley down the line 16% 60.3%±14.5 58.4%

Serve +1: short return to your middle, you at net

position worth 54% to the average player · 54 shots

OptionUsedWin %Tour
BH volley crosscourt 24% 67.6%±13.4 56.5%
BH volley through the middle 20% 33.3%±13.9 36.6%

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

position worth 57% to the average player · 42 shots

OptionUsedWin %Tour
FH volley crosscourt 43% 57.2%±13.2 68.7%
FH volley down the line 38% 63.8%±13.2 54.8%

Return +1: drive to your forehand side

position worth 41% to the average player · 38 shots

OptionUsedWin %Tour
FH crosscourt 45% 38.0%±13.1 45.3%
FH through the middle 39% 28.2%±12.5 39.4%

Serve under pressure

Pressure predictability index ±0 How much less varied Max Mirnyi's first-serve direction gets on break points. Positive means easier to read. Based on 49 break-point first serves.

Deuce court

1st serveUsageBreak ptWon when in
Wide 40% 60% ▲ 82% / 73%
Body 12% 0% ▼ 64% / 63%
T 48% 40% ▼ 73% / 75%

387 normal · 10 break-point 1st serves

Ad court

1st serveUsageBreak ptWon when in
Wide 53% 49% 78% / 73%
Body 11% 18% 66% / 63%
T 36% 33% 73% / 72%

320 normal · 39 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
Wide41% 71.4%±5.4 n=161 54% ▲
Body12% 57.8%±9.3 n=46 0% ▼
T48% 61.3%±5.4 n=190 46% ▼

Off equilibrium (p = 0.012): serve wide more. Gap 6.4 points per 100 first serves.
Optimal mix: +1.0 per 100 first serves.

Ad court

1st serveUsagePoints wonOptimal
Wide52% 68.3%±5.2 n=187 65% ▲
Body12% 69.4%±8.9 n=43 0% ▼
T36% 63.7%±6.3 n=129 35%

Consistent with an optimal mix (p = 0.44).
Optimal mix: +0.6 per 100 first serves.

Exploitability 0.81 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: +1.3±4.8 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. (282 repeats, 458 switches.)

Return by serve direction

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

ServeCourtDirectionPointsWonvs tour
1stAd courtBody 8 37% +0.1±12.9
1stAd courtT 93 28% −0.1±6.7
1stAd courtWide 109 27% +0.2±6.2
1stDeuce courtBody 15 31% −5.6±11.4
1stDeuce courtT 101 16% −8.6±5.3
1stDeuce courtWide 100 19% −7.8±5.7
2ndAd courtBody 29 42% −7.3±10.6
2ndAd courtT 12 47% −2.2±12.7
2ndAd courtWide 53 33% −15.2±8.5
2ndDeuce courtBody 42 41% −7.8±9.5
2ndDeuce courtT 65 48% −1.4±8.4
2ndDeuce courtWide 11 52% +4.2±12.8

Signature patterns

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

Serve → +1

  1. Wide serve (deuce court) → BH volley crosscourt used 4.9% · won 74% · −0.5±9.7 vs own baseline
  2. Wide serve (ad court) → BH volley down the line used 5.1% · won 72% · −1.8±9.7 vs own baseline
  3. T serve (deuce court) → BH volley crosscourt used 5.1% · won 62% · −12.3±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+4.1187
T 1st serve · ad court+2.0129
Wide 1st serve · deuce court+2.0161
T 1st serve · deuce court+0.1190

Most exposed to

T 1st serve · ad court−3.1127
Wide 1st serve · deuce court−2.2147
T 1st serve · deuce court−2.1171
Wide 1st serve · ad court−1.0167
BH to the middle · return+1.6139

Active players who are best at the shot in the top weakness: Reilly Opelka, Milos Raonic, Nick Kyrgios, Nicolas Jarry, Giovanni Mpetshi Perricard

Tactical fingerprint

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

Serve & volley86%
BH down the line44%
Points at net33%
Point-ending shots37.2%
Chipped returns37%
Backhand slice43%
Through the middle29%
1st serve in65%
Unforced errors / shot11.0%
T serves · deuce48%
Wide serves · ad52%
Drop shots / shot1.2%
T serves · ad36%
Wide serves · deuce41%
FH down the line27%
Deep returns21%
Run-around forehands8%
Forehand share43%
Avg rally length2.6

Plays most like

  1. John Mcenroe 1978–1992 plan v
  2. Patrick Rafter 1993–2001 plan v
  3. David Wheaton 1990–1994 plan v
  4. Michael Stich 1990–1997 plan v
  5. Richard Krajicek 1992–2000 plan v
  6. Stefan Edberg 1985–2012 plan v
  7. Boris Becker 1985–1999 plan v
  8. Pat Cash 1984–1992 plan v

Closest from another era

  1. John Mcenroe 1978–1992
  2. Pat Cash 1984–1992
  3. Maxime Cressy 2021–2024

Charted matches