1/16-finals


Finished


We think Elena Rybakina wins both the match and the first set.
⚠️ These predictions are automated, math-based forecasts generated from available statistics and historical match data. They are provided for informational purposes only and are not a guarantee of any result; we accept no liability for outcomes.
There are H2H matches between Elena Rybakina and Marta Kostyuk. Elena Rybakina and Marta Kostyuk met 5 times, spending 7 hours 17 minutes on court.
Overall H2H: Elena Rybakina and Marta Kostyuk stand at 4-1, with Elena Rybakina holding a noticeable overall lead. On hard, Elena Rybakina holds a narrow lead (3-1).
H2H statistics are split in two parts: here you can check general and yield stats, while in the second section you can check sets and games statistics, as well as the list of H2H matches.
H2H Statistics· Overall


* Yield is calculated by staking 1 unit on each match, summing all stakes and all returns, then computing the net profit (total returns minus total stakes) and dividing it by the total stakes to get a percentage.
H2H Statistics· Hard ·WTA / Slam ·




No Data
H2H Statistics· Clay ·WTA / Slam




No Data
H2H Statistics· Grass ·WTA / Slam


No Data


No Data
In this second section of H2H, you can check the sets and games statistics, along with more stats (games over) and the list of H2H matches (members only: click on each match for details and full stats).
H2H Statistics· Overall


Includes both WTA and Grand Slams (all surfaces).
Total Games H2H


Player
Match
Player
Match
Avg/Match
🔒
🔒
🔒
🔒
Over 11.5
80%
80%
20%
80%
Over 12.5
0%
80%
20%
80%
Over 13.5
0%
80%
20%
80%
Over 14.5
🔒
🔒
🔒
🔒
Over 15.5
🔒
🔒
🔒
🔒
Over 16.5
🔒
🔒
🔒
🔒
Over 17.5
🔒
🔒
🔒
🔒
Over 18.5
🔒
🔒
🔒
🔒
Over 19.5
🔒
🔒
🔒
🔒
Over 20.5
🔒
🔒
🔒
🔒
Over 21.5
🔒
🔒
🔒
🔒
Over 22.5
🔒
🔒
🔒
🔒
Over 23.5
🔒
🔒
🔒
🔒
Over 24.5
🔒
🔒
🔒
🔒
Over 25.5
🔒
🔒
🔒
🔒
Over 26.5
🔒
🔒
🔒
🔒
Over 27.5
🔒
🔒
🔒
🔒
Over 28.5
🔒
🔒
🔒
🔒
Over 29.5
🔒
🔒
🔒
🔒
H2H Statistics· Hard ·WTA / Slam ·


Includes both WTA and Grand Slams.
Total Games H2H


Player
Match
Player
Match
Avg/Match
🔒
🔒
🔒
🔒
Over 11.5
75%
75%
25%
75%
Over 12.5
0%
75%
25%
75%
Over 13.5
0%
75%
25%
75%
Over 14.5
🔒
🔒
🔒
🔒
Over 15.5
🔒
🔒
🔒
🔒
Over 16.5
🔒
🔒
🔒
🔒
Over 17.5
🔒
🔒
🔒
🔒
Over 18.5
🔒
🔒
🔒
🔒
Over 19.5
🔒
🔒
🔒
🔒
Over 20.5
🔒
🔒
🔒
🔒
Over 21.5
🔒
🔒
🔒
🔒
Over 22.5
🔒
🔒
🔒
🔒
Over 23.5
🔒
🔒
🔒
🔒
Over 24.5
🔒
🔒
🔒
🔒
Over 25.5
🔒
🔒
🔒
🔒
Over 26.5
🔒
🔒
🔒
🔒
Over 27.5
🔒
🔒
🔒
🔒
Over 28.5
🔒
🔒
🔒
🔒
Over 29.5
🔒
🔒
🔒
🔒


Includes only Challenger matches.
Total Games H2H


Player
Match
Player
Match
H2H Statistics· Clay ·WTA / Slam


Includes both WTA and Grand Slams.
Total Games H2H


Player
Match
Player
Match
Avg/Match
🔒
🔒
🔒
🔒
Over 11.5
100%
100%
0%
100%
Over 12.5
0%
100%
0%
100%
Over 13.5
0%
100%
0%
100%
Over 14.5
🔒
🔒
🔒
🔒
Over 15.5
🔒
🔒
🔒
🔒


Includes only Challenger matches.
Total Games H2H


Player
Match
Player
Match
H2H Statistics· Grass ·WTA / Slam


Includes both WTA and Grand Slams.
Total Games H2H


Player
Match
Player
Match


Includes only Challenger matches.
Total Games H2H


Player
Match
Player
Match
We rate Elena Rybakina's form as excellent (82% win rate), while Marta Kostyuk is in solid form (60%). Elena Rybakina won one WTA title this season.


* Yield is calculated by staking 1 unit on each match, summing all stakes and all returns, then computing the net profit (total returns minus total stakes) and dividing it by the total stakes to get a percentage.




No Data


No Data


No Data


No Data


No Data


* Yield is calculated by staking 1 unit on each match, summing all stakes and all returns, then computing the net profit (total returns minus total stakes) and dividing it by the total stakes to get a percentage.




No Data


No Data


No Data


No Data


No Data
Tracks how often the player beats each aces line (0.5, 1.5, 2.5, etc.). The percentage is the success rate for that line, shown for Current Season and Last 10.
Aces


Over 0.5
100 %
90 %
Over 1.5
90 %
70 %
Over 2.5
90 %
60 %
Over 3.5
🔒
🔒
Over 4.5
🔒
🔒
Over 5.5
🔒
🔒
Over 6.5
🔒
🔒
Over 7.5
🔒
🔒
Over 8.5
🔒
🔒
Over 9.5
🔒
🔒
Over 10.5
🔒
🔒
Over 11.5
🔒
🔒
Aces


Over 0.5
100 %
90 %
Over 1.5
90 %
70 %
Over 2.5
90 %
60 %
Over 3.5
🔒
🔒
Over 4.5
🔒
🔒
Over 5.5
🔒
🔒
Over 6.5
🔒
🔒
Over 7.5
🔒
🔒
Over 8.5
🔒
🔒
Over 9.5
🔒
🔒
Over 10.5
🔒
🔒
Over 11.5
🔒
🔒
Aces


Aces


Aces


Aces


Aces


Aces


Over 0.5
100 %
89 %
Over 1.5
95 %
78 %
Over 2.5
91 %
67 %
Over 3.5
🔒
🔒
Over 4.5
🔒
🔒
Over 5.5
🔒
🔒
Over 6.5
🔒
🔒
Over 7.5
🔒
🔒
Over 8.5
🔒
🔒
Over 9.5
🔒
🔒
Over 10.5
🔒
🔒
Over 11.5
🔒
🔒
Over 12.5
🔒
🔒
Over 13.5
🔒
🔒
Aces


Over 0.5
100 %
89 %
Over 1.5
95 %
78 %
Over 2.5
91 %
67 %
Over 3.5
🔒
🔒
Over 4.5
🔒
🔒
Over 5.5
🔒
🔒
Over 6.5
🔒
🔒
Over 7.5
🔒
🔒
Over 8.5
🔒
🔒
Over 9.5
🔒
🔒
Over 10.5
🔒
🔒
Over 11.5
🔒
🔒
Over 12.5
🔒
🔒
Over 13.5
🔒
🔒
Aces


Aces


Aces


Aces


Aces


Breaks down double faults by over lines (0.5, 1.5, 2.5, etc.). Each percentage shows how frequently the player ends a match above that mark, for Current Season and Last 10.
Double Faults


Over 0.5
100 %
100 %
Over 1.5
60 %
80 %
Over 2.5
🔒
🔒
Over 3.5
🔒
🔒
Over 4.5
🔒
🔒
Over 5.5
🔒
🔒
Over 6.5
🔒
🔒
Over 7.5
🔒
🔒
Over 8.5
🔒
🔒
Double Faults


Over 0.5
100 %
100 %
Over 1.5
60 %
80 %
Over 2.5
🔒
🔒
Over 3.5
🔒
🔒
Over 4.5
🔒
🔒
Over 5.5
🔒
🔒
Over 6.5
🔒
🔒
Over 7.5
🔒
🔒
Over 8.5
🔒
🔒
Double Faults


Double Faults


Double Faults


Double Faults


Double Faults


Double Faults


Over 0.5
82 %
100 %
Over 1.5
45 %
78 %
Over 2.5
🔒
🔒
Over 3.5
🔒
🔒
Over 4.5
🔒
🔒
Over 5.5
🔒
🔒
Over 6.5
🔒
🔒
Double Faults


Over 0.5
82 %
100 %
Over 1.5
45 %
78 %
Over 2.5
🔒
🔒
Over 3.5
🔒
🔒
Over 4.5
🔒
🔒
Over 5.5
🔒
🔒
Over 6.5
🔒
🔒
Double Faults


Double Faults


Double Faults


Double Faults


Double Faults


Lists over lines for break points converted (0.5, 1.5, etc.) and how often they happen. Percentages reflect the portion of matches that finish over the line, shown for Current Season and Last 10 for each player.
Break Points


Over 0.5
100 %
100 %
Over 1.5
100 %
86 %
Over 2.5
🔒
🔒
Over 3.5
🔒
🔒
Over 4.5
🔒
🔒
Over 5.5
🔒
🔒
Over 6.5
🔒
🔒
Break Points


Over 0.5
100 %
100 %
Over 1.5
100 %
86 %
Over 2.5
🔒
🔒
Over 3.5
🔒
🔒
Over 4.5
🔒
🔒
Over 5.5
🔒
🔒
Over 6.5
🔒
🔒
Break Points


Break Points


Break Points


Break Points


Break Points


Break Points


Over 0.5
100 %
100 %
Over 1.5
100 %
83 %
Over 2.5
🔒
🔒
Over 3.5
🔒
🔒
Over 4.5
🔒
🔒
Over 5.5
🔒
🔒
Over 6.5
🔒
🔒
Break Points


Over 0.5
100 %
100 %
Over 1.5
100 %
83 %
Over 2.5
🔒
🔒
Over 3.5
🔒
🔒
Over 4.5
🔒
🔒
Over 5.5
🔒
🔒
Over 6.5
🔒
🔒
Break Points


Break Points


Break Points


Break Points


Break Points


Shows games-over frequencies in two ways:
- player total games over: how often the player's own games total finished over each line.
- match total games over: how often the entire match total games finished over each line in matches the player took part in.
Total Games


Player
Match
Player
Match
Avg/Match
🔒
🔒
🔒
🔒
Over 11.5
80%
100%
80%
100%
Over 12.5
50%
100%
30%
100%
Over 13.5
🔒
🔒
🔒
🔒
Over 14.5
🔒
🔒
🔒
🔒
Over 15.5
🔒
🔒
🔒
🔒
Over 16.5
🔒
🔒
🔒
🔒
Over 17.5
🔒
🔒
🔒
🔒
Over 18.5
🔒
🔒
🔒
🔒
Over 19.5
🔒
🔒
🔒
🔒
Over 20.5
🔒
🔒
🔒
🔒
Over 21.5
🔒
🔒
🔒
🔒
Over 22.5
🔒
🔒
🔒
🔒
Over 23.5
🔒
🔒
🔒
🔒
Over 24.5
🔒
🔒
🔒
🔒
Over 25.5
🔒
🔒
🔒
🔒
Over 26.5
🔒
🔒
🔒
🔒
Over 27.5
🔒
🔒
🔒
🔒
Over 28.5
🔒
🔒
🔒
🔒
Over 29.5
🔒
🔒
🔒
🔒
Over 30.5
🔒
🔒
🔒
🔒
Over 31.5
🔒
🔒
🔒
🔒
Total Games


Player
Match
Player
Match
Avg/Match
🔒
🔒
🔒
🔒
Over 11.5
80%
100%
80%
100%
Over 12.5
50%
100%
30%
100%
Over 13.5
🔒
🔒
🔒
🔒
Over 14.5
🔒
🔒
🔒
🔒
Over 15.5
🔒
🔒
🔒
🔒
Over 16.5
🔒
🔒
🔒
🔒
Over 17.5
🔒
🔒
🔒
🔒
Over 18.5
🔒
🔒
🔒
🔒
Over 19.5
🔒
🔒
🔒
🔒
Over 20.5
🔒
🔒
🔒
🔒
Over 21.5
🔒
🔒
🔒
🔒
Over 22.5
🔒
🔒
🔒
🔒
Over 23.5
🔒
🔒
🔒
🔒
Over 24.5
🔒
🔒
🔒
🔒
Over 25.5
🔒
🔒
🔒
🔒
Over 26.5
🔒
🔒
🔒
🔒
Over 27.5
🔒
🔒
🔒
🔒
Over 28.5
🔒
🔒
🔒
🔒
Over 29.5
🔒
🔒
🔒
🔒
Over 30.5
🔒
🔒
🔒
🔒
Over 31.5
🔒
🔒
🔒
🔒
Total Games


Player
Match
Player
Match
Total Games


Player
Match
Player
Match
Total Games


Player
Match
Player
Match
Total Games


Player
Match
Player
Match
Total Games


Player
Match
Player
Match
Total Games


Player
Match
Player
Match
Avg/Match
🔒
🔒
🔒
🔒
Over 11.5
91%
100%
78%
100%
Over 12.5
50%
100%
33%
100%
Over 13.5
🔒
🔒
🔒
🔒
Over 14.5
🔒
🔒
🔒
🔒
Over 15.5
🔒
🔒
🔒
🔒
Over 16.5
🔒
🔒
🔒
🔒
Over 17.5
🔒
🔒
🔒
🔒
Over 18.5
🔒
🔒
🔒
🔒
Over 19.5
🔒
🔒
🔒
🔒
Over 20.5
🔒
🔒
🔒
🔒
Over 21.5
🔒
🔒
🔒
🔒
Over 22.5
🔒
🔒
🔒
🔒
Over 23.5
🔒
🔒
🔒
🔒
Over 24.5
🔒
🔒
🔒
🔒
Over 25.5
🔒
🔒
🔒
🔒
Over 26.5
🔒
🔒
🔒
🔒
Over 27.5
🔒
🔒
🔒
🔒
Over 28.5
🔒
🔒
🔒
🔒
Over 29.5
🔒
🔒
🔒
🔒
Over 30.5
🔒
🔒
🔒
🔒
Over 31.5
🔒
🔒
🔒
🔒
Total Games


Player
Match
Player
Match
Avg/Match
🔒
🔒
🔒
🔒
Over 11.5
91%
100%
78%
100%
Over 12.5
50%
100%
33%
100%
Over 13.5
🔒
🔒
🔒
🔒
Over 14.5
🔒
🔒
🔒
🔒
Over 15.5
🔒
🔒
🔒
🔒
Over 16.5
🔒
🔒
🔒
🔒
Over 17.5
🔒
🔒
🔒
🔒
Over 18.5
🔒
🔒
🔒
🔒
Over 19.5
🔒
🔒
🔒
🔒
Over 20.5
🔒
🔒
🔒
🔒
Over 21.5
🔒
🔒
🔒
🔒
Over 22.5
🔒
🔒
🔒
🔒
Over 23.5
🔒
🔒
🔒
🔒
Over 24.5
🔒
🔒
🔒
🔒
Over 25.5
🔒
🔒
🔒
🔒
Over 26.5
🔒
🔒
🔒
🔒
Over 27.5
🔒
🔒
🔒
🔒
Over 28.5
🔒
🔒
🔒
🔒
Over 29.5
🔒
🔒
🔒
🔒
Over 30.5
🔒
🔒
🔒
🔒
Over 31.5
🔒
🔒
🔒
🔒
Total Games


Player
Match
Player
Match
Total Games


Player
Match
Player
Match
Total Games


Player
Match
Player
Match
Total Games


Player
Match
Player
Match
Across the last 10 matches, time on court is fairly balanced: Elena Rybakina has logged 17h 17m and Marta Kostyuk 17h 21m. Average match duration is also close in that span (Elena Rybakina: 1h 44m, Marta Kostyuk: 1h 44m). In Miami WTA, both players have spent a similar amount of time on court so far (Elena Rybakina: 1h 18m, Marta Kostyuk: 1h 14m). Their average match time in Miami WTA is close (Elena Rybakina: 1h 18m, Marta Kostyuk: 1h 14m).
Time on court statistics for Elena Rybakina.
Current Season (from 22 matches)
Last Matches (10)
Time on court statistics for Marta Kostyuk.
Current Season (from 9 matches)
Last Matches (10)
These are market odds from the listed bookmakers, shown for source identification only (we may display multiple sources). Odds are provided for informational purposes only and may change. We do not offer betting or wagering services and we are not affiliated with the listed bookmakers.