RallyIQ

WTA · Right-handed · 5 charted matches · 2017–2023

Maryna Zanevska

Against an average opponent

Serve points won 55.2% ±3.9 raw 51.9% · tour 56.3% · 343 points
Return points won 43.6% ±3.9 raw 41.0% · tour 43.7% · 349 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.

Shot expected value

The share of points Maryna Zanevska 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.

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

position worth 43% to the average player · 105 shots

OptionUsedWin %Tour
FH crosscourt 52% 45.8%±9.5 46.7%
FH through the middle 29% 40.5%±11.4 41.3%
FH down the line 12% 42.4%±14.1 44.9%

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

position worth 45% to the average player · 97 shots

OptionUsedWin %Tour
BH crosscourt 45% 55.5%±10.2 47.6%
BH through the middle 30% 38.1%±11.4 43.3%
BH down the line 20% 41.9%±13.0 46.8%

Return +1: drive to your middle

position worth 50% to the average player · 66 shots

OptionUsedWin %Tour
FH crosscourt 33% 53.5%±12.7 52.3%
BH through the middle 29% 41.6%±13.0 46.2%
FH down the line 21% 51.8%±14.1 53.0%

Rally, shots 5–8: drive to your middle

position worth 50% to the average player · 65 shots

OptionUsedWin %Tour
FH crosscourt 31% 46.4%±13.0 52.7%
FH through the middle 29% 44.0%±13.1 45.8%
FH down the line 18% 48.3%±14.5 52.2%

Serve under pressure

Pressure predictability index +10 How much less varied Maryna Zanevska's first-serve direction gets on break points. Positive means easier to read. Based on 42 break-point first serves.

Deuce court

1st serveUsageBreak ptWon when in
Wide 24% 10% ▼ 68% / 66%
Body 22% 20% 62% / 57%
T 54% 70% ▲ 70% / 68%

167 normal · 10 break-point 1st serves

Ad court

1st serveUsageBreak ptWon when in
Wide 45% 47% 69% / 66%
Body 20% 13% 55% / 56%
T 35% 41% 62% / 64%

132 normal · 32 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. A direction loses 0.19 points per 100 serves for every 10 points of habitual usage, measured from WTA 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 won
Wide23% 54.3%±9.7 n=41
Body22% 48.0%±9.9 n=39
T55% 56.4%±7.2 n=97

Consistent with an optimal mix (p = 0.34).

Ad court

1st serveUsagePoints won
Wide45% 51.4%±8.1 n=74
Body19% 44.5%±10.5 n=31
T36% 53.9%±8.7 n=59

Consistent with an optimal mix (p = 0.26).

Repeating the previous direction to the same court: +1.7±7.6 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. (135 repeats, 196 switches.)

Return by serve direction

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

ServeCourtDirectionPointsWonvs tour
1stAd courtBody 31 43% −1.0±10.4
1stAd courtT 33 39% +3.6±10.1
1stAd courtWide 40 32% −2.5±9.2
1stDeuce courtBody 40 41% −1.5±9.7
1stDeuce courtT 29 28% −3.9±9.6
1stDeuce courtWide 49 33% −0.8±8.7
2ndAd courtBody 36 55% +0.3±10.1
2ndAd courtT 9 47% −7.6±13.2
2ndAd courtWide 19 49% −4.4±11.7
2ndDeuce courtBody 35 56% +1.4±10.1
2ndDeuce courtT 8 57% +1.4±13.2
2ndDeuce courtWide 18 52% −1.4±11.9

Signature patterns

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

Serve → +1

  1. Not enough data

Return

  1. Not enough data

Rally, consecutive own shots

  1. FH crosscourt → FH crosscourt used 16.4% · won 43% · +1.2±10.7 vs own baseline

Discovered sequences

Mined from every me → opponent → me run of three shots, with no templates. Ranked by how much more often Maryna Zanevska wins the point once the sequence happens, weighted by how often it happens. Think of them as chess openings.

  1. FH crosscourt → FH crosscourt → FH crosscourt used 3.5% · won 39% · −3.7±11.0 vs own baseline · −12.6 vs tour on the same sequence Disrupted by Denisa Allertova (1/7), Marta Kostyuk (7/14)

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

FH to their forehand · rally+0.9131

Most exposed to

FH to their forehand · rally−2.2129

Active players who are best at the shot in the top weakness: Linda Fruhvirtova, Maja Chwalinska, Sara Sorribes Tormo, Linda Klimovicova, Nadia Podoroska

Charted matches