WTA · Rank #683

Martina Okalova

29yrs #372Peak Rank

75%Accuracy

Matches Analyzed

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ITF Women W35 Norman OK Hard ITF Women W35 Norman OK (Hard) 1

2 ▴1.44

O20.5 ▾1.85

ITF Women W100 Edmond OK Hard ITF Women W100 Edmond OK (Hard) 1

2 ▴1.15

2 ▴1.15

ITF Women W50 Berkeley CA Hard ITF Women W50 Berkeley CA (Hard) 1

2 ▾1.13

2 ▾1.13

WTA Iasi Romania Qualifying Clay WTA Iasi Romania Qualifying (Clay) 1

2 ▾1.12

2 ▾1.12

ITF Women W50 Gdansk Clay ITF Women W50 Gdansk (Clay) 1

2 ▾1.23

2 ▾1.23

ITF Women W100 Sumter SC Hard ITF Women W100 Sumter SC (Hard) 1

2 ▾1.28

2 ▾1.28

ITF Women W35 Wichita KS Hard ITF Women W35 Wichita KS (Hard) 1

1 1.17

1 1.17

ITF Women W50 Pelham AL Clay ITF Women W50 Pelham AL (Clay) 1

2 ▾1.38

2 ▾1.38

ITF Women W75 Trnava Hard ITF Women W75 Trnava (Hard) 1

1 ▴1.07

1 ▴1.07

ITF Women W100 Charlottesville VA Clay ITF Women W100 Charlottesville VA (Clay) 1

1 ▾1.28

O18.5 ▴1.57

ITF Women W35 Jackson MS Clay ITF Women W35 Jackson MS (Clay) 1

1 ▴1.62

U20.5 ▴1.87

ITF Women W50 Chihuahua Clay ITF Women W50 Chihuahua (Clay) 2

2 ▾1.09

2 ▾1.09

2 1.02

2 1.02

ITF Women W35 Arcadia CA Hard ITF Women W35 Arcadia CA (Hard) 2

1 1.75

1 1.75

2 ▴2.9

2 ▴2.9

ITF Women W35 Las Vegas NV Hard ITF Women W35 Las Vegas NV (Hard) 1

1 ▾2.12

O20.5 ▾1.85

Record by surface

Hard

3-6

Clay

1-6

Overall 4-12

Our AI on this player 12 correct of 16

From the matches in our database

Most-played opponents

Savannah Broadus 2 meetings 0-2

About Martina Okalova

Martina Okalova is a 29-year-old professional tennis player. That is below a career-high of world No. 372. The serve is the vulnerable side, at 5.8 double faults per match and 59.5% of first-serve points won. Breaking is the real weapon here: 248.5% of break chances get taken. Service games rarely slip away: 283.9% of them are held. No surface has produced a winning record so far — Hard 3-6, Clay 1-6.

Lately it has not been coming together — 5 defeats in the last 5 outings. The longest match we have on record ran to 34 games, against S. Yamalapalli. Predictions cover match winner and score, alongside serve, return and break-point statistics. Most recently seen in our data at ITF Women W35 Norman OK.

Serve & Return

First Serve %

71.1%

1st Serve Won

52.8%

2nd Serve Won

31.8%

Aces / Match

0.3

Double Faults / Match

5.1

Break Pts Saved

56.7%

Break Pts Converted

182.6%

Return Pts Won

44.6%

Service Hold %

231.6%

Total Pts Won

76.5%

Records Last 12 months

Titles

Finals

Semis or better

Events played

Tournament Results

UTR PTT Stillwater Women 01 UTR Final

ITF W100 Sumter, SC Women ITF Round of 16 ITF W35 Arcadia, CA Women ITF Round of 16 ITF W35 Wichita, KS Women ITF Round of 16 ITF W50 Chihuahua Women ITF Round of 16 ITF W100 Charlottesville, VA Women ITF Round of 32 ITF W100 Edmond, OK Women ITF Round of 32 ITF W35 Jackson, MS Women ITF Round of 32 ITF W35 Las Vegas, NV Women ITF Round of 32 ITF W50 Berkeley, CA Women ITF Round of 32 ITF W50 Gdansk Women ITF Round of 32 ITF W50 Pelham, AL Women ITF Round of 32 ITF W75 Trnava 3 Women ITF Round of 32 Iasi WTA Qualifying Vancouver, Canada WTA 125 Qualifying ITF W100 Aschaffenburg Women ITF Qualifying ITF W100 Landisville, PA Women ITF Qualifying ITF W100 Templeton, CA Women ITF Qualifying ITF W50 Stuttgart-Vaihingen Women ITF Qualifying ITF W75 Blois Women ITF Qualifying

Deepest runs first, not by date

Season by season

2026

2026so far

0–1

Won-lost

Matches

—

Tiebreaks

Aces / Match

Double Faults / Match

First Serve % 73.1%

1st Serve Won 50%

2nd Serve Won 21.4%

Break points won 12.5%

Break Pts Saved 66.7%

2025

0–1

Won-lost

Matches

0–1

Tiebreaks

Aces / Match

Double Faults / Match

First Serve % 62.7%

1st Serve Won 55.3%

2nd Serve Won 35.7%

Break points won 100%

Break Pts Saved 61.5%

2024

5–2

Won-lost

Matches

1–0

Tiebreaks

1.1

Aces / Match

3.3

Double Faults / Match

First Serve % 71.1%

1st Serve Won 61.7%

2nd Serve Won 37.4%

Break points won 45.8%

Break Pts Saved 55.6%

Season totals from the tour feed, singles only. The won-lost line is the tour's own count and can differ from the record under Predictions, which counts the matches we cover. A dash means the season holds nothing to measure that figure from.

Frequently asked questions

How accurate are the AI predictions for Martina Okalova?

Our model has graded 16 matches involving Martina Okalova and got 12 right — a hit rate of 75%. Every completed pick stays on the page, so the figure can be checked.

Who has Martina Okalova played most often?

Of the matches we cover, Martina Okalova has met Savannah Broadus most often — 2 times, with a 0-2 record.