Miami WTA โ€ข Hard Court

Quarter-finals

Elena Rybakina
ATP #2
83 %
Win Perc
86 %
24
Matches
22
Jessica Pegula
ATP #5

Match Predictions

We see Elena Rybakina winning both the match and the first set.

Match Winner

Elena Rybakina
๐Ÿ”’ See probabilities, confidence and reasoning

Based on our model data.

First Set Winner

Elena Rybakina
๐Ÿ”’ See probabilities, confidence and reasoning

Based on our model data.

๐Ÿ”’ See Risk of Upset, probabilities and reasoning

โš ๏ธ 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.

Head to Head Stats (I)

There are H2H matches between Elena Rybakina and Jessica Pegula. Elena Rybakina and Jessica Pegula met 8 times, spending 13 hours 20 minutes on court.

Overall H2H: Elena Rybakina and Jessica Pegula stand at 5-3, with Elena Rybakina holding a slight overall lead. On hard, Elena Rybakina holds a narrow lead (4-3).

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 Statisticsยท Overall

Rybakina E.
Pegula J.
5
3
Matches Won
63%
38%
Win Percentage
Service
9
1.9
Aces (avg/match)
2.8
2
Double Faults (avg/match)
59%
59%
First Serve
70%
65%
First Serve Points Won
๐Ÿ”’
๐Ÿ”’
Second Serve Points Won
60%
58%
Service Points Won
72%
67%
Service Games Won
๐Ÿ”’
๐Ÿ”’
Pressure Points (avg/match)
๐Ÿ”’
๐Ÿ”’
Pressure Points Won
๐Ÿ”’
๐Ÿ”’
1st Serve Speed (km/h)
๐Ÿ”’
๐Ÿ”’
2nd Serve Speed (km/h)
Return
42%
40%
Return Points Won
35%
30%
First Return Points Won
๐Ÿ”’
๐Ÿ”’
Second Return Points Won
33%
28%
Return Games Won
Break Points
8.9
6.4
Break Points Chances (avg/match)
3.7
3.4
Break Points Converted (avg/match)
42%
53%
Break Points Converted
๐Ÿ”’
๐Ÿ”’
Break Points Faced (avg/match)
๐Ÿ”’
๐Ÿ”’
Break Points Saved (avg/match)
๐Ÿ”’
๐Ÿ”’
Break Points Saved
Other
๐Ÿ”’
๐Ÿ”’
Winners (avg/match)
๐Ÿ”’
๐Ÿ”’
Unforced Errors (avg/match)
๐Ÿ”’
๐Ÿ”’
Net Points Played (avg/match)
๐Ÿ”’
๐Ÿ”’
Net Points Won
๐Ÿ”’
๐Ÿ”’
Match Points Faced (avg/match)
๐Ÿ”’
๐Ÿ”’
Match Points Saved (avg/match)
Yields *
๐Ÿ”’
๐Ÿ”’
Yield
๐Ÿ”’
๐Ÿ”’
Average Odds
๐Ÿ”’
๐Ÿ”’
Yield as Favorite
๐Ÿ”’
๐Ÿ”’
Average Odds as Favorite
๐Ÿ”’
๐Ÿ”’
Yield as Underdog
๐Ÿ”’
๐Ÿ”’
Average Odds as Underdog
๐Ÿ”’
๐Ÿ”’
Won as Favorite
๐Ÿ”’
๐Ÿ”’
Won as Underdog

* 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.

Head to Head Sets And Games (II)

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 Statisticsยท Overall

Rybakina E.
Pegula J.
WTA + Grand Slam
11
7
Sets Won
96
84
Games Won
๐Ÿ”’
๐Ÿ”’
Tiebreaks Played
๐Ÿ”’
๐Ÿ”’
Tiebreaks Won
๐Ÿ”’
๐Ÿ”’
Deciders Played
๐Ÿ”’
๐Ÿ”’
Deciders Won
๐Ÿ”’
๐Ÿ”’
Won to zero (WW)
๐Ÿ”’
๐Ÿ”’
1st Set Won -> Match Won
๐Ÿ”’
๐Ÿ”’
1st Set Lost -> Match Won
๐Ÿ”’
๐Ÿ”’
1st Set Won -> Match Lost
๐Ÿ”’
๐Ÿ”’
1st Set Lost -> Match Lost
Games Over

Includes both WTA and Grand Slams (all surfaces).

Total Games H2H

Rybakina E.
Pegula J.

Player

Match

Player

Match

Avg/Match

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

Over 11.5

75%

100%

50%

100%

Over 12.5

63%

100%

38%

100%

Over 13.5

25%

100%

13%

100%

Over 14.5

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

Over 15.5

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

Over 16.5

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

Over 17.5

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

Over 18.5

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

Over 19.5

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

Over 20.5

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

Over 21.5

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

Over 22.5

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

Over 23.5

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

Over 24.5

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

Over 25.5

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

Over 26.5

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

Over 27.5

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

Over 28.5

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

Over 29.5

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

H2H MATCHES
12 Mar 2026
0-2

Indian Wells WTA

Quarter-finals
WinnerRybakina E.
29 Jan 2026
0-2

Australian Open WTA

Semi-finals
WinnerRybakina E.
07 Nov 2025
1-2

Finals - Riyadh WTA - Play Offs (indoor)

Semi-finals
WinnerRybakina E.
18 Sep 2025
2-0

Billie Jean King Cup - World Group WTA

-
WinnerRybakina E.
29 Oct 2023
0-2

Finals - Cancun WTA

-
WinnerPegula J.
31 Mar 2023
2-0

Miami WTA

Semi-finals
WinnerRybakina E.
19 Oct 2022
2-1

Guadalajara WTA

1/16-finals
WinnerPegula J.
27 Mar 2022
2-0

Miami WTA

1/16-finals
WinnerPegula J.

Players Form

We rate both players as being in excellent form right now, with Elena Rybakina at 83% and Jessica Pegula at 86% win rate. Elena Rybakina and Jessica Pegula have each won one WTA title this season.

Players Statisticsยท Overall
Rybakina E.

?
Pegula J.

?
8
9
Matches Won
80%
90%
Win Percentage
0
1
WTA Titles
Service
6.6
6.4
Aces (avg/match)
2.2
1.7
Double Faults (avg/match)
61%
62%
First Serve
73%
72%
First Serve Points Won
๐Ÿ”’
๐Ÿ”’
Second Serve Points Won
65%
65%
Service Points Won
83%
83%
Service Games Won
๐Ÿ”’
๐Ÿ”’
Pressure Points (avg/match)
๐Ÿ”’
๐Ÿ”’
Pressure Points Won
Return
41%
44%
Return Points Won
36%
36%
First Return Points Won
๐Ÿ”’
๐Ÿ”’
Second Return Points Won
32%
36%
Return Games Won
Break Points
5
8.3
Break Points Chances (avg/match)
3
3.3
Break Points Converted (avg/match)
60%
40%
Break Points Converted
๐Ÿ”’
๐Ÿ”’
Break Points Faced (avg/match)
๐Ÿ”’
๐Ÿ”’
Break Points Saved (avg/match)
๐Ÿ”’
๐Ÿ”’
Break Points Saved
Other
๐Ÿ”’
๐Ÿ”’
Match Points Faced (avg/match)
Sets / Games
๐Ÿ”’
๐Ÿ”’
Best of 3 Won (decider)
๐Ÿ”’
๐Ÿ”’
Total Sets Won
๐Ÿ”’
๐Ÿ”’
Total Games Won
๐Ÿ”’
๐Ÿ”’
Tiebreaks Won
๐Ÿ”’
๐Ÿ”’
Won to zero (WW)
Yields *
๐Ÿ”’
๐Ÿ”’
Yield
๐Ÿ”’
๐Ÿ”’
Average Odds
๐Ÿ”’
๐Ÿ”’
Yield as Favorite
๐Ÿ”’
๐Ÿ”’
Average Odds as Favorite
๐Ÿ”’
๐Ÿ”’
Yield as Underdog
๐Ÿ”’
๐Ÿ”’
Average Odds as Underdog
๐Ÿ”’
๐Ÿ”’
Won as Favorite

* 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.

Players Statistics : Aces Over

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.

Players Statisticsยท Overall

Aces

Rybakina E.
Pegula J.

Over 0.5

100 %

100 %

Over 1.5

80 %

100 %

Over 2.5

80 %

90 %

Over 3.5

๐Ÿ”’

๐Ÿ”’

Over 4.5

๐Ÿ”’

๐Ÿ”’

Over 5.5

๐Ÿ”’

๐Ÿ”’

Over 6.5

๐Ÿ”’

๐Ÿ”’

Over 7.5

๐Ÿ”’

๐Ÿ”’

Over 8.5

๐Ÿ”’

๐Ÿ”’

Over 9.5

๐Ÿ”’

๐Ÿ”’

Over 10.5

๐Ÿ”’

๐Ÿ”’

Over 11.5

๐Ÿ”’

๐Ÿ”’

Players Statistics : Double Faults Over

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.

Players Statisticsยท Overall

Double Faults

Rybakina E.
Pegula J.

Over 0.5

90 %

70 %

Over 1.5

70 %

60 %

Over 2.5

๐Ÿ”’

๐Ÿ”’

Over 3.5

๐Ÿ”’

๐Ÿ”’

Over 4.5

๐Ÿ”’

๐Ÿ”’

Players Statistics : Brk. Pts. Converted Over

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.

Players Statisticsยท Overall

Break Points

Rybakina E.
Pegula J.

Over 0.5

100 %

100 %

Over 1.5

100 %

100 %

Over 2.5

๐Ÿ”’

๐Ÿ”’

Over 3.5

๐Ÿ”’

๐Ÿ”’

Total Games Over

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.

Players Statisticsยท Overall

Total Games

Rybakina E.
Pegula J.

Player

Match

Player

Match

Avg/Match

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

Over 11.5

80%

100%

80%

90%

Over 12.5

40%

100%

50%

90%

Over 13.5

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

Over 14.5

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

Over 15.5

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

Over 16.5

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

Over 17.5

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

Over 18.5

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

Over 19.5

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

Over 20.5

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

Over 21.5

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

Over 22.5

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

Over 23.5

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

Over 24.5

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

Over 25.5

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

Over 26.5

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

Over 27.5

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

Over 28.5

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

Over 29.5

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

Over 30.5

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

๐Ÿ”’

Time On Court

Across the last 10 matches, time on court is fairly balanced: Elena Rybakina has logged 16h 19m and Jessica Pegula 15h 12m. Average match duration is also close in that span (Elena Rybakina: 1h 38m, Jessica Pegula: 1h 31m). In Miami WTA, Elena Rybakina has had the heavier court load so far (3h 47m vs 2h 57m), about 50m more than Jessica Pegula. In Miami WTA, Elena Rybakina's average match has run longer (1h 16m vs 59m for Jessica Pegula).

Time on court statistics for Elena Rybakina.

Current Season (from 24 matches)

39h 8mTotal
Avg: 1h 38m

Last Matches (10)

16h 19mTotal
Avg: 1h 38m
Season Tournaments:
Brisbane WTA
4h 44m
Avg 1h 35m
Australian Open WTA
10h 48m
Avg 1h 33m
Doha WTA
6h 15m
Avg 2h 5m
Dubai WTA
2h 39m
Avg 1h 20m
Indian Wells WTA
10h 55m
Avg 1h 49m
Miami WTA
3h 47m
Avg 1h 16m

Market odds (informational only)

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.

Format:
Bookmaker
1
2
bet365
โ–ผ1.44
โ–ฒ2.75
1xBet
โ–ผ1.49
โ–ฒ2.76