M. Y. Chen
To Win
E. Bektas
To Win
By Wojtek Kolan
Form
W L L W W W L L L LForm
L L W L W W L W L LThey have played 2 sets in total, with Chen winning 2 and Lopez winning 0. The last match between Chen and Lopez was at the W15 Monastir, 18-02-2025, Q3, Hard with Meng Yi Chen getting the victory 6-2 6-2.
W15 Monastir(18-02-2025)
18 Mar 2025 / First
Miami Open - Miami atp
19 Mar 2025 / First
Miami Open - Miami wta
18 Mar 2025 / First
Winning Player | Losing Player | Score | |||
---|---|---|---|---|---|
6-2 6-2 |
![]() ![]()
Meng Yi Chen
Player
Paola Lopez
50%
(
6 of
12)
1st Serve %
62%
(
8 of
13)
0
Aces
0
0
Double Faults
0
50%
(
3 of
6)
1st Serve Won
38%
(
3 of
8)
50%
(
3 of
6)
2nd Serve Won
80%
(
4 of
5)
50%
(
1 of
2)
Break Points Won
100%
(
1 of
1)
50%
(
6 of
12)
Rtn Points Won
46%
(
6 of
13)
12
Total Points Won
13
|
Currently displayed stats includes matches of all levels. To exclude lower level events (as per ATP / WTA official stats) toggle button in page footer.
Predictions on the upcoming tennis match:
In the past six months, there has been a notable disparity in second serve performance. Chen has exhibited prowess by winning 45.17% of points on their second serve, surpassing Lopez's accomplishment of 41.39%. It is important to note the strong correlation between this statistic and the accuracy of match predictions.
An examination of return game stats reveals intriguing insights into the players' recent form. Chen has excelled by claiming victory in 52.42% of their opponent's second serve points, while Lopez has managed a slightly higher success rate of 52.74%. Similarly, when it comes to first serve returns, Chen has achieved a success rate of 40.68%, whereas Lopez has secured 36.75% success. These percentages hold great significance in determining the favorite in this head-to-head matchup.
When it comes to saving crucial breakpoints in high-pressure situations, Chen has successfully saved 51.75% of breakpoints in their recent matches. Lopez, on the other hand, has displayed even greater resilience by saving an impressive 53.75% of breakpoints. These statistics prove useful for making in-game betting predictions.
Over the course of the last year, Chen has achieved a solid win rate of 50% in their matches (with a win/loss record of 27/27). In comparison, Lopez has demonstrated greater success, winning 58.93% of their matches (with a win/loss record of 33/23). Considering these numbers, we can derive an overall prediction regarding their head-to-head matchup.
Understanding players' performance on different surfaces is crucial for accurate predictions. Chen excels on hard surfaces, boasting a 54% win rate (with a win/loss record of 60/51), while their worst performance is on indoor hard surfaces, with a win rate of 0% (with a win/loss record of 0/1). Lopez, too, has a strong performance on hard surfaces, winning 57% of matches (with a win/loss record of 33/25). However, their weakest performance occurs on clay surfaces, with a win rate of 0% (with a win/loss record of 0/1).
Examining the level of competition faced by each player provides valuable insights in predicting the favorite. In the past year, Chen has primarily participated in Challengers/ITF tournaments greater than $10K, achieving a win rate of 50% (with a win/loss record of 19/19). In contrast, Lopez has predominantly competed in Futures/Satellites/ITF tournaments worth $10K, securing a favorable win rate of 58.14% (with a win/loss record of 25/18). It is worth noting that these statistics should be considered relative to the event level at which the players have been competing.
Over the past 12 months, Chen has faced opponents with an average rank of 400.19. In comparison, Lopez has encountered players with a significantly better average rank of 151.8. Understanding the level of competition faced by each player contributes to formulating accurate predictions.
For those interested in live predictions and betting, the performance of players in deciding sets holds significant importance. Chen has emerged victorious in 38% of deciding sets over the past year, whereas Lopez has showcased stellar performance by winning 71% of all deciding sets played in tour matches.
Past player performances offer valuable insights, but it is also crucial to consider current event statistics to gauge the form of the players. For up-to-date indications of players' current form, please refer to the section below (if they have participated in matches in the current event). Additionally, certain players may exhibit enhanced performance at specific events, and this factor should be taken into account when predicting the outcome.
In recent outings, Chen has showcased remarkable efficiency by converting 50% of their breakpoint opportunities. In comparison, Lopez has proven to be even more effective, converting 53.51% of their chances to break their opponents' serves. These statistics are valuable for making informed in-game live betting decisions when either player has a breakpoint opportunity.
If you have a keen interest in leveraging predictive models for tennis matches, this article serves as an excellent starting point. (Warning: Recommended for statistics enthusiasts only)
OPPONENT | Score | H2H | |||
---|---|---|---|---|---|
Q1 |
![]() ![]()
Chengyiyi Yuan
Player
Meng Yi Chen
53%
(
27 of
51)
1st Serve %
67%
(
37 of
55)
1
Aces
0
8
Double Faults
5
48%
(
13 of
27)
1st Serve Won
35%
(
13 of
37)
50%
(
12 of
24)
2nd Serve Won
28%
(
5 of
18)
67%
(
8 of
12)
Break Points Won
57%
(
4 of
7)
51%
(
26 of
51)
Rtn Points Won
67%
(
37 of
55)
62
Total Points Won
44
|
6-2 6-3 | H2H | ||
R1 |
![]() ![]()
Na-Ri Kim
Player
Meng Yi Chen
70%
(
56 of
80)
1st Serve %
75%
(
52 of
69)
3
Aces
0
2
Double Faults
3
63%
(
35 of
56)
1st Serve Won
62%
(
32 of
52)
42%
(
10 of
24)
2nd Serve Won
35%
(
6 of
17)
42%
(
5 of
12)
Break Points Won
75%
(
3 of
4)
44%
(
35 of
80)
Rtn Points Won
45%
(
31 of
69)
76
Total Points Won
73
|
6-4 7-5 | H2H | ||
R1 |
![]() ![]()
Viktoria Morvayova
Player
Meng Yi Chen
75%
(
38 of
51)
1st Serve %
77%
(
44 of
57)
1
Aces
0
3
Double Faults
1
68%
(
26 of
38)
1st Serve Won
57%
(
25 of
44)
31%
(
4 of
13)
2nd Serve Won
31%
(
4 of
13)
57%
(
4 of
7)
Break Points Won
75%
(
3 of
4)
41%
(
21 of
51)
Rtn Points Won
49%
(
28 of
57)
58
Total Points Won
50
|
4-6 6-2 ret. | H2H | ||
R2 | 6-3 6-4 | H2H | |||
R1 | 7-5 7-5 | H2H | |||
QF |
![]() ![]()
Meng Yi Chen
Player
Paola Lopez
50%
(
6 of
12)
1st Serve %
62%
(
8 of
13)
0
Aces
0
0
Double Faults
0
50%
(
3 of
6)
1st Serve Won
38%
(
3 of
8)
50%
(
3 of
6)
2nd Serve Won
80%
(
4 of
5)
50%
(
1 of
2)
Break Points Won
100%
(
1 of
1)
50%
(
6 of
12)
Rtn Points Won
46%
(
6 of
13)
12
Total Points Won
13
|
6-2 6-2 | H2H | ||
Q2 | 6-4 6-2 | H2H | |||
R1 |
![]() ![]()
Sara Daavettila
Player
Meng Yi Chen
79%
(
52 of
66)
1st Serve %
79%
(
41 of
52)
0
Aces
0
0
Double Faults
3
60%
(
31 of
52)
1st Serve Won
44%
(
18 of
41)
50%
(
7 of
14)
2nd Serve Won
18%
(
2 of
11)
86%
(
6 of
7)
Break Points Won
33%
(
2 of
6)
42%
(
28 of
66)
Rtn Points Won
62%
(
32 of
52)
70
Total Points Won
48
|
6-1 6-3 | H2H | ||
QF |
![]() ![]()
Polina Kaibekova
Player
Meng Yi Chen
56%
(
32 of
57)
1st Serve %
75%
(
53 of
71)
0
Aces
0
1
Double Faults
2
56%
(
18 of
32)
1st Serve Won
45%
(
24 of
53)
60%
(
15 of
25)
2nd Serve Won
50%
(
9 of
18)
35%
(
6 of
17)
Break Points Won
43%
(
3 of
7)
42%
(
24 of
57)
Rtn Points Won
54%
(
38 of
71)
71
Total Points Won
57
|
6-4 6-2 | H2H | ||
Q2 | 6-0 3-0 ret. | H2H |
view more
OPPONENT | Score | H2H | |||
---|---|---|---|---|---|
Q2 | 7-5 6-0 | H2H | |||
QF |
![]() ![]()
Meng Yi Chen
Player
Paola Lopez
50%
(
6 of
12)
1st Serve %
62%
(
8 of
13)
0
Aces
0
0
Double Faults
0
50%
(
3 of
6)
1st Serve Won
38%
(
3 of
8)
50%
(
3 of
6)
2nd Serve Won
80%
(
4 of
5)
50%
(
1 of
2)
Break Points Won
100%
(
1 of
1)
50%
(
6 of
12)
Rtn Points Won
46%
(
6 of
13)
12
Total Points Won
13
|
6-2 6-2 | H2H | ||
Q2 | 7-5 6-3 | H2H | |||
R1 |
![]() ![]()
Marie Villet
Player
Paola Lopez
70%
(
33 of
47)
1st Serve %
59%
(
38 of
64)
0
Aces
2
4
Double Faults
5
64%
(
21 of
33)
1st Serve Won
42%
(
16 of
38)
43%
(
6 of
14)
2nd Serve Won
35%
(
9 of
26)
54%
(
7 of
13)
Break Points Won
100%
(
3 of
3)
43%
(
20 of
47)
Rtn Points Won
61%
(
39 of
64)
66
Total Points Won
45
|
7-5 6-1 | H2H | ||
QF |
![]() ![]()
Paola Lopez
Player
Ilinca Sagmar
58%
(
35 of
60)
1st Serve %
63%
(
38 of
60)
2
Aces
2
1
Double Faults
2
83%
(
29 of
35)
1st Serve Won
61%
(
23 of
38)
52%
(
13 of
25)
2nd Serve Won
55%
(
12 of
22)
30%
(
3 of
10)
Break Points Won
0%
(
0 of
1)
30%
(
18 of
60)
Rtn Points Won
42%
(
25 of
60)
67
Total Points Won
53
|
6-1 6-4 | H2H | ||
Q2 | 6-1 6-1 | H2H | |||
QF |
![]() ![]()
Giulia Morlet
Player
Paola Lopez
76%
(
41 of
54)
1st Serve %
62%
(
42 of
68)
1
Aces
3
1
Double Faults
8
73%
(
30 of
41)
1st Serve Won
64%
(
27 of
42)
54%
(
7 of
13)
2nd Serve Won
19%
(
5 of
26)
44%
(
4 of
9)
Break Points Won
0%
(
0 of
1)
31%
(
17 of
54)
Rtn Points Won
53%
(
36 of
68)
73
Total Points Won
49
|
6-4 6-0 | H2H | ||
Q2 | 7-6(7) 6-1 | H2H | |||
R1 |
![]() ![]()
Shiho Akita
Player
Paola Lopez
62%
(
24 of
39)
1st Serve %
44%
(
21 of
48)
0
Aces
1
3
Double Faults
3
63%
(
15 of
24)
1st Serve Won
48%
(
10 of
21)
67%
(
10 of
15)
2nd Serve Won
30%
(
8 of
27)
86%
(
6 of
7)
Break Points Won
100%
(
2 of
2)
36%
(
14 of
39)
Rtn Points Won
63%
(
30 of
48)
55
Total Points Won
32
|
6-3 6-1 | H2H | ||
R1 |
![]() ![]()
Maria Camila Torres Murcia
Player
Paola Lopez
77%
(
58 of
75)
1st Serve %
56%
(
49 of
87)
0
Aces
9
4
Double Faults
10
57%
(
33 of
58)
1st Serve Won
61%
(
30 of
49)
47%
(
8 of
17)
2nd Serve Won
42%
(
16 of
38)
25%
(
2 of
8)
Break Points Won
33%
(
4 of
12)
45%
(
34 of
75)
Rtn Points Won
47%
(
41 of
87)
82
Total Points Won
80
|
1-6 6-4 10-7 | H2H |
view more
View full predicted draw for Chen