Alexandra Eala vs Paula Badosa Gibert Head-to-Head Stats, Results & Performance Comparison

Wojtek Kolan

Wojtek Kolan

Published on 24 Mar at 06:05 AM UTC

HEAD TO HEAD

A. Eala vs P. Badosa Gibert

Alexandra Eala
Alexandra Eala

Flag PHI PHI

w
l
w
w
l
l
l
l
w
l
Paula Badosa Gibert
Paula Badosa Gibert

Flag ESP ESP

w
w
l
w
w
l
l
l
w
l

0

Win

0

Played

0

Win

20
Age
27
-
Height
1.80m
50
C. Rank
25
50
Best Rank
2
0
Total Titles
4
0
YTD Titles
0
$599.5K
Career Money
$8.0M
-
Plays
Right-handed (two-handed backhand)

Head-to-head: Eala 0 - 0 Gibert

The last match between Alexandra Eala and Paula Badosa Gibert was at the Miami Open - Miami, 24-03-2025, Round: R4, Surface: Hard, with Draw getting the victory w/o.

PlayersHead To Head Match Wins
Eala0
Gibert0
Last 1 H2H Matches:

(R4Miami Open - Miami(03-24-25)

Hard
PHI Flag
Alexandra Eala
w/o
ESP Flag
Paula Badosa Gibert

A. Eala vs P. B. Gibert H2H Profile

Stats
$599,467Career Prize Money$8,016,693
62.38% (194-117)Career Total W/L64.31% (391-217)
6Titles11
50.00% (13-13)YTD Win/Loss58.06% (18-13)

A. Eala vs P. B. Gibert Match Preview:

Analyzing recent second serve performance, Eala has secured 35.87% of points on their second serve over the past six months, while Gibert has achieved a higher rate at 42.09%. This statistic is critical for an accurate match prediction. A closer look at return game stats reveals that Eala has won 47.65% of their opponent's second serve points in recent form, compared to Gibert's 50.73%. For first serve returns, Eala's success rate stands at 34.33%, overshadowing Gibert's 29.09%, playing a significant role in determining the favored player in this head-to-head matchup.

When examining under-pressure scenarios, Eala has managed to save 46.65% of breakpoints recently, whereas Gibert has performed slightly better, saving 50.75%. This factor contributes to in-game betting predictions. Looking at their performance over the last year, Eala has secured victory in 59.72% of matches, with a win/loss record of 43/29. Meanwhile, Gibert boasts a higher win percentage of 68.75%, with a record of 44/20, giving us an overview of overall head-to-head prediction.

Surface preference also plays a role in their performance; Eala performs best on Hard courts with a 66% win rate (115/59), whereas their weakest surface is Clay, with a 41% win rate (12/17). Gibert's strongest surface is Clay with a 65% win rate (167/89), while their lowest rate is on indoor Hard courts, winning 58% (26/19). In terms of player level, in the past year, Eala has primarily competed in Challengers/ITF tournaments above $10K, winning 61.36% of matches (27/17). Conversely, Gibert has largely played in Masters series events, attaining a 70.83% win percentage (17/7), which factors into determining the favorite relative to the event level.

Considering opponent quality, over the previous year, Eala's opponents had an average ranking of 222.11, whereas Gibert faced opponents averaging a rank of 45.63. In terms of deciding set performance, Gibert has triumphed in 58% of deciding sets, contrasting with Eala's 44% over the last 12 months. Breakpoint conversion shows that recently, Eala has converted 35.65% of breakpoint opportunities, while Gibert has a slightly lower conversion rate of 32.83%, a critical stat for live betting when breakpoints arise.

Synthesizing all these elements, a higher portion of stats supports Gibert as the likely winner of the upcoming match, leveraging their superior performance metrics and strength against higher-ranked opponents. However, both players show unique strengths that could provide an upset in specific scenarios. Ultimately, Gibert's consistent advantage in various key performance areas suggests they will likely emerge victorious in this contest.

Alexandra Eala vs Paula Badosa Gibert Editorial Preview By TennisTipster88.

Recent Performance Stats

2nd Serve Win %: Eala 47%, Gibert 46%.
Opp 2nd Serve Pts Won: Eala 59%, Gibert 55%.
Break Points Saved %: Eala 53%, Gibert 57%.

A. Eala Recent Matches Played

OPPONENTRESULTSCOREH2H
HardHong Kong Tennis Open - Hong Kong - 27-10-2025

R2

CANV. Mboko
L
3-6 6-3 6-4

R1

GBRK. Boulter
W
6-4 2-1 ret.
HardGuangzhou Open - Guangzhou - 20-10-2025

R1

USAC. Liu
L
2-6 6-4 6-4
HardJapan Open - Osaka - 13-10-2025

R1

CZET. Valentova
L
6-1 6-2
HardWuhan Open - Wuhan - 06-10-2025

Q1

JPNM. Uchijima
L
6-4 3-6 6-2

P. B. Gibert Recent Matches Played

OPPONENTRESULTSCOREH2H
HardChina Open - Beijing - 22-09-2025

R3

CZEK. Muchova
L
4-2 ret.

R2

CROA. Ruzic
W
6-3 7-6(2)
I.hardBillie Jean King Cup, Finals - 15-09-2025

Rubber 2

UKRE. Svitolina
L
5-7 6-2 7-5
GrassWimbledon - London - 30-06-2025

R1

GBRK. Boulter
L
6-2 3-6 6-4
GrassBerlin Ladies Open - Berlin - 16-06-2025

QF

CHNX. Wang
L
6-1 ret.
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A. Eala vs P. B. Gibert Stats Breakdown Vs All H2H Opponents

Stats
62.38% (194/117)YTD Win/Loss64.31% (391/217)
60.44% (443/290)Sets Win/Loss61.53% (851/532)
54.03% (3616/3076)Games Win/Loss54.54% (6923/5771)
65.33% (130/69)Hard Win/Loss64.82% (164/89)
40.00% (14/21)Clay Win/Loss65.13% (170/91)
64.81% (35/19)Indoor Hard W/L62.50% (35/21)
65.22% (15/8)Grass Win/Loss57.89% (22/16)
0.11Aces Per Game0.28
354Aces Total1734
0.38Double Faults Per Game0.35
1256Total Double Faults2158
1:43:38Average Match Time1:18:45
361.22Average Opponent Rank401.48
62% (13184/21413)1st Serve %60% (20753/34486)
61% (8021/13184)1st Serve Win %67% (13879/20753)
47% (3848/8229)2nd Serve Win %46% (6333/13719)
49% (1400/2830)Break Points Won % (Total)46% (1987/4302)
48% (10124/21252)Return Points Win %45% (15628/34757)
43.75% (7/9)Slam W/L64.94% (50/27)
35.00% (7/13)Masters W/L59.41% (60/41)
0% (0/0)Cups W/L25.00% (1/3)
59.09% (26/18)Main Tour W/L61.11% (88/56)
66.51% (141/71)Challenger W/L67.95% (159/75)
68.42% (13/6)Futures W/L68.75% (33/15)
62% (190/307)Best of 3 Sets Win %67% (386/577)
100% (3/3)Best of 5 Sets Win %10% (1/10)
57% (40/70)Tiebreaks Win % (Total)61% (87/142)
49% (53/109)Deciding Set Win %64% (115/181)
81% (203/165)1st Set Won, Won Match88% (378/332)
19% (203/38)1st Set Won, Lost Match11% (378/43)
27% (108/29)1st Set Lost, Won Match25% (229/57)

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