Paris Corley vs Amy Zhu Head-to-Head Stats, Results & Performance Comparison
By Wojtek Kolan
Form
W W W L W W L W W L
Form
W W L W W W L W W LHead-to-head: Corley 0 - 1 Zhu
They have played 3 sets in total, with Corley winning 1 and Zhu winning 2. The last match between Corley and Zhu was at the W35 Manchester, 16-02-2025, Q1 round, I.hard with Amy Zhu getting the victory 4-6 6-4 10-5.
W35 Manchester(16-02-2025)
4
6
6
4
10
5
Today’s Tennis Tips:
Liu VS Tormo PREDICTION Hard
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| Winning Player | Losing Player | Score | |||
|---|---|---|---|---|---|
| 4-6 6-4 10-5 |
Stats 
Amy Zhu
Player
Paris Corley
76%
(
56 of
74)
1st Serve %
78%
(
58 of
74)
1
Aces
0
0
Double Faults
1
61%
(
34 of
56)
1st Serve Won
59%
(
34 of
58)
50%
(
9 of
18)
2nd Serve Won
44%
(
7 of
16)
30%
(
3 of
10)
Break Points Won
43%
(
3 of
7)
42%
(
31 of
74)
Rtn Points Won
45%
(
33 of
74)
76
Total Points Won
72
|
||||
Stats
0
H2H Matches
1
1
Sets Won
2
15
Games Won
20
0
Aces (Total)
1
1
Total Double Faults
0
1:59:22
Average Match Time
1:59:22
78% (58/74)
1st Serve %
76% (56/74)
59% (34/58)
1st Serve Win %
61% (34/56)
44% (7/16)
2nd Serve Win %
50% (9/18)
43% (3/7)
Break Points Won % (Total)
30% (3/10)
42% (31/74)
Return Points Win %
45% (33/74)
0% (0/1)
Best of 3 Sets Win %
100% (1/1)
0% (0/0)
Best of 5 Sets Win %
0% (0/0)
0% (0/0)
Tiebreaks Win % (Total)
0% (0/0)
0% (0/1)
Deciding Set Win %
100% (1/1)
0% (1/0)
1st Set Won, Won Match
0% (0/0)
100% (1/1)
1st Set Won, Lost Match
0% (0/0)
0% (0/0)
1st Set Lost, Won Match
100% (1/1)
Currently displayed stats includes matches of all levels. To exclude lower level events (as per ATP / WTA official stats) toggle button in page footer.
Paris Corley vs Amy Zhu Important H2H Prediction Stats:
Head-to-head: Paris Corley 0 - 1 Amy Zhu
Predicting the Outcome of a Tennis Match: Insights and Analysis
Recent Form Performance of Second Serve: In the past six months, there has been a close battle between Corley and Zhu regarding their performance on the second serve. Corley has managed to win 47.07% of points on their second serve, while Zhu has slightly outperformed with a 47.33% success rate. It is worth noting that there exists a strong correlation between this particular statistic and the accuracy of match predictions.
Return Game Statistics in Recent Form: Delving into the return game statistics of these players, Corley has excelled in recent form by winning 53.32% of their opponent's second serve points. On the flip side, Zhu has showcased an even more impressive performance by winning 57.08% in the same category. When examining first serve returns, the percentages stand at 39.02% for Corley and 39.75% for Zhu, respectively. These numbers bear significance as they aid in determining the favored player in their head-to-head (H2H) matchup.
Under Pressure Analysis: When the pressure is on, both Corley and Zhu have proven their mettle in saving breakpoints. Corley has managed to save 50.29% of breakpoints in recent form, while Zhu has displayed an impressive 56.4% success rate. This statistic holds notable value when making in-game betting predictions.
Performance Overview: Over the past year, Corley has achieved a 46% win rate with a record of 23 wins and 27 losses. On the other hand, Zhu has excelled with a 56.52% win rate, having won 39 matches and lost 30. Thus, taking these figures into consideration provides a comprehensive overview for predicting their head-to-head encounters.
Preference for Different Surfaces: Looking into the players' career records, Corley has displayed their utmost dominance on hard surfaces, clinching a 52% win rate with 73 victories against 68 defeats. Conversely, Corley's performance on clay courts drops to a 40% success rate, with 6 wins and 9 losses. In contrast, Zhu's career demonstrates a preference for clay surfaces, boasting a 52% win rate with 85 victories compared to 80 losses. However, on hard courts, Zhu struggles slightly, achieving a 50% win rate with 165 wins and 167 losses.
Player Level and Tournament Type: In the past year, Corley has primarily participated in challengers and ITF tournaments with a prize money of over $10,000. It is worth mentioning that Corley has managed to win 45.45% of their matches in this category, with a record of 15 wins and 18 losses. On the other hand, Zhu's focus has revolved around futures, satellites, and ITF tournaments with a prize money of $10,000. Zhu has performed exceptionally well in these tournaments, seizing 60.53% of victories with 23 wins and 15 losses. When assessing players' statistics to predict the favored competitor, it is essential to consider the relative level of the events they have been participating in.
Opponent Quality Statistics: Over the past twelve months, Corley has engaged in matches against opponents with an average ranking of 435.76. In contrast, Zhu has faced players with an average ranking of 415.45. These statistics shed light on the level of competition each player has encountered.
Deciding Set Performance Compared to All Players: For those enthusiasts interested in live predictions and betting, if this match extends to a deciding set, Corley has confidently emerged victorious in an impressive 83% of deciding sets over the past twelve months. Conversely, Zhu has achieved a 47% success rate in all matches played on the tour. These statistics bear significance when making predictions during in-game scenarios.
Current Event H2H Statistics: While past player performance provides valuable insights when predicting tennis matches, it is also essential to consider current event statistics to gauge the players' current form. By referring to the section below, a more accurate indication of an in-form player emerges. Additionally, some players have demonstrated a propensity for performing exceptionally well at certain events, and it is crucial to factor in such instances when assessing the outcome of a match.
Break Point Conversion Rate: Recent form highlights Corley's ability to convert 39.78% of breakpoint opportunities, while Zhu has exhibited a higher proficiency by converting 51.3% of the chances to break their opponent's serve. This particular statistic provides valuable insights for in-game live betting tips, especially when either player encounters a breakpoint opportunity.
If you are interested in exploring models that predict tennis match outcomes, this article serves as an excellent starting point for the statistically inclined.
Paris Corley Recent Matches Played
Before:
| OPPONENT | Score | H2H | |||
|---|---|---|---|---|---|
| R1 |
Stats
Viktoria Hruncakova
Player
Paris Corley
49%
(
25 of
51)
1st Serve %
67%
(
31 of
46)
5
Aces
0
3
Double Faults
1
76%
(
19 of
25)
1st Serve Won
48%
(
15 of
31)
62%
(
16 of
26)
2nd Serve Won
40%
(
6 of
15)
80%
(
4 of
5)
Break Points Won
0%
(
0 of
0)
31%
(
16 of
51)
Rtn Points Won
54%
(
25 of
46)
60
Total Points Won
37
|
6-2 6-2 | H2H | ||
| QF |
Stats
Paris Corley
Player
Noemi La Cagnina
73%
(
35 of
48)
1st Serve %
55%
(
31 of
56)
0
Aces
1
0
Double Faults
5
66%
(
23 of
35)
1st Serve Won
65%
(
20 of
31)
69%
(
9 of
13)
2nd Serve Won
28%
(
7 of
25)
50%
(
4 of
8)
Break Points Won
33%
(
1 of
3)
33%
(
16 of
48)
Rtn Points Won
52%
(
29 of
56)
61
Total Points Won
43
|
6-1 6-4 | H2H | ||
| Q1 | 6-0 6-1 | H2H | |||
| R1 |
Stats
Valentini Grammatikopoulou
Player
Paris Corley
59%
(
23 of
39)
1st Serve %
72%
(
57 of
79)
3
Aces
0
3
Double Faults
4
91%
(
21 of
23)
1st Serve Won
51%
(
29 of
57)
69%
(
11 of
16)
2nd Serve Won
50%
(
11 of
22)
27%
(
4 of
15)
Break Points Won
0%
(
0 of
0)
18%
(
7 of
39)
Rtn Points Won
49%
(
39 of
79)
71
Total Points Won
47
|
6-3 6-1 | H2H | ||
| QF |
Stats
Paris Corley
Player
Sara Milanese
73%
(
29 of
40)
1st Serve %
70%
(
14 of
20)
2
Aces
0
1
Double Faults
1
52%
(
15 of
29)
1st Serve Won
36%
(
5 of
14)
27%
(
3 of
11)
2nd Serve Won
33%
(
2 of
6)
100%
(
3 of
3)
Break Points Won
43%
(
3 of
7)
55%
(
22 of
40)
Rtn Points Won
65%
(
13 of
20)
31
Total Points Won
29
|
7-6(5) 6-3 | H2H | ||
| Q1 | 1-6 6-1 13-11 | H2H | |||
| R2 |
Stats
Danielle Daley
Player
Paris Corley
46%
(
52 of
112)
1st Serve %
69%
(
61 of
88)
3
Aces
0
16
Double Faults
3
60%
(
31 of
52)
1st Serve Won
49%
(
30 of
61)
42%
(
25 of
60)
2nd Serve Won
44%
(
12 of
27)
78%
(
7 of
9)
Break Points Won
50%
(
7 of
14)
50%
(
56 of
112)
Rtn Points Won
52%
(
46 of
88)
102
Total Points Won
98
|
1-6 6-3 7-5 | H2H | ||
| R1 |
Stats
Paris Corley
Player
Laura Mair
62%
(
33 of
53)
1st Serve %
56%
(
30 of
54)
0
Aces
1
3
Double Faults
4
79%
(
26 of
33)
1st Serve Won
67%
(
20 of
30)
45%
(
9 of
20)
2nd Serve Won
33%
(
8 of
24)
67%
(
4 of
6)
Break Points Won
67%
(
2 of
3)
34%
(
18 of
53)
Rtn Points Won
48%
(
26 of
54)
61
Total Points Won
46
|
6-3 6-4 | H2H | ||
| QF | 6-1 6-2 | H2H | |||
| Q2 | 7-6(6) 6-2 | H2H | |||
view more
Amy Zhu Recent Matches Played
Before:
| OPPONENT | Score | H2H | |||
|---|---|---|---|---|---|
| QF |
Stats
Christasha McNeil
Player
Amy Zhu
65%
(
54 of
83)
1st Serve %
61%
(
35 of
57)
2
Aces
2
4
Double Faults
0
72%
(
39 of
54)
1st Serve Won
83%
(
29 of
35)
45%
(
13 of
29)
2nd Serve Won
45%
(
10 of
22)
67%
(
2 of
3)
Break Points Won
20%
(
1 of
5)
37%
(
31 of
83)
Rtn Points Won
32%
(
18 of
57)
70
Total Points Won
70
|
7-6(5) 6-3 | H2H | ||
| R2 |
Stats
Amy Zhu
Player
Rachael Smith
78%
(
28 of
36)
1st Serve %
44%
(
22 of
50)
2
Aces
1
0
Double Faults
2
82%
(
23 of
28)
1st Serve Won
55%
(
12 of
22)
63%
(
5 of
8)
2nd Serve Won
39%
(
11 of
28)
50%
(
5 of
10)
Break Points Won
0%
(
0 of
0)
22%
(
8 of
36)
Rtn Points Won
54%
(
27 of
50)
55
Total Points Won
31
|
6-1 6-1 | H2H | ||
| R1 |
Stats
Amy Zhu
Player
Makoto Ninomiya
68%
(
43 of
63)
1st Serve %
66%
(
35 of
53)
0
Aces
0
1
Double Faults
1
65%
(
28 of
43)
1st Serve Won
69%
(
24 of
35)
60%
(
12 of
20)
2nd Serve Won
44%
(
8 of
18)
50%
(
3 of
6)
Break Points Won
25%
(
1 of
4)
37%
(
23 of
63)
Rtn Points Won
40%
(
21 of
53)
61
Total Points Won
55
|
6-4 6-3 | H2H | ||
| SF |
Stats
Malaika Rapolu
Player
Amy Zhu
50%
(
22 of
44)
1st Serve %
61%
(
33 of
54)
1
Aces
2
1
Double Faults
1
77%
(
17 of
22)
1st Serve Won
64%
(
21 of
33)
55%
(
12 of
22)
2nd Serve Won
38%
(
8 of
21)
50%
(
2 of
4)
Break Points Won
17%
(
1 of
6)
34%
(
15 of
44)
Rtn Points Won
46%
(
25 of
54)
54
Total Points Won
44
|
7-5 6-2 | H2H | ||
| QF |
Stats
Amy Zhu
Player
Lara Smejkal
67%
(
59 of
88)
1st Serve %
52%
(
54 of
103)
3
Aces
6
3
Double Faults
10
68%
(
40 of
59)
1st Serve Won
78%
(
42 of
54)
52%
(
15 of
29)
2nd Serve Won
41%
(
20 of
49)
33%
(
4 of
12)
Break Points Won
50%
(
4 of
8)
38%
(
33 of
88)
Rtn Points Won
40%
(
41 of
103)
96
Total Points Won
95
|
3-6 7-6(5) 6-3 | H2H | ||
| R2 |
Stats
Amy Zhu
Player
Sabastiani Leon
79%
(
38 of
48)
1st Serve %
60%
(
32 of
53)
5
Aces
0
0
Double Faults
3
74%
(
28 of
38)
1st Serve Won
47%
(
15 of
32)
40%
(
4 of
10)
2nd Serve Won
52%
(
11 of
21)
50%
(
5 of
10)
Break Points Won
13%
(
1 of
8)
33%
(
16 of
48)
Rtn Points Won
51%
(
27 of
53)
59
Total Points Won
42
|
6-4 6-1 | H2H | ||
| R1 |
Stats
Amy Zhu
Player
Isabella Marton
72%
(
86 of
120)
1st Serve %
61%
(
83 of
135)
13
Aces
3
3
Double Faults
7
69%
(
59 of
86)
1st Serve Won
66%
(
55 of
83)
50%
(
17 of
34)
2nd Serve Won
46%
(
24 of
52)
44%
(
4 of
9)
Break Points Won
27%
(
3 of
11)
37%
(
44 of
120)
Rtn Points Won
41%
(
56 of
135)
132
Total Points Won
123
|
6-7(3) 6-4 7-6(2) | H2H | ||
| R1 |
Stats
Victoria Mboko
Player
Amy Zhu
76%
(
35 of
46)
1st Serve %
81%
(
30 of
37)
0
Aces
4
1
Double Faults
0
66%
(
23 of
35)
1st Serve Won
50%
(
15 of
30)
64%
(
7 of
11)
2nd Serve Won
14%
(
1 of
7)
63%
(
5 of
8)
Break Points Won
50%
(
1 of
2)
35%
(
16 of
46)
Rtn Points Won
57%
(
21 of
37)
51
Total Points Won
32
|
6-2 6-1 | H2H | ||
| QF |
Stats
Amy Zhu
Player
Emma Wilson
82%
(
73 of
89)
1st Serve %
67%
(
56 of
83)
1
Aces
3
0
Double Faults
2
62%
(
45 of
73)
1st Serve Won
59%
(
33 of
56)
75%
(
12 of
16)
2nd Serve Won
52%
(
14 of
27)
43%
(
3 of
7)
Break Points Won
0%
(
0 of
3)
36%
(
32 of
89)
Rtn Points Won
43%
(
36 of
83)
93
Total Points Won
79
|
6-7(7) 6-1 10-6 | H2H | ||
| Q1 |
Stats
Amy Zhu
Player
Paris Corley
76%
(
56 of
74)
1st Serve %
78%
(
58 of
74)
1
Aces
0
0
Double Faults
1
61%
(
34 of
56)
1st Serve Won
59%
(
34 of
58)
50%
(
9 of
18)
2nd Serve Won
44%
(
7 of
16)
30%
(
3 of
10)
Break Points Won
43%
(
3 of
7)
42%
(
31 of
74)
Rtn Points Won
45%
(
33 of
74)
76
Total Points Won
72
|
4-6 6-4 10-5 | H2H | ||
view more
Stats Breakdown Vs All H2H Opponents
Stats
51% (96/93)
Win/Loss
51% (276/268)
50% (209/207)
Sets Win/Loss
51% (625/606)
51% (1925/1836)
Games Win/Loss
51% (5773/5600)
53% (77/69)
Hard Win/Loss
50% (165/167)
40% (6/9)
Clay Win/Loss
52% (85/80)
46% (13/15)
Indoor Hard W/L
55% (26/21)
0% (0/0)
Grass Win/Loss
0% (0/0)
0.03
Aces Per Game
0.18
53
Aces Total
988
0.14
Double Faults Per Game
0.19
258
Total Double Faults
1075
1:16:27
Average Match Time
1:10:27
430.32
Average Opponent Rank
475.62
70% (6454/9243)
1st Serve %
60% (14280/23629)
57% (3711/6454)
1st Serve Win %
62% (8861/14280)
47% (1302/2789)
2nd Serve Win %
46% (4305/9349)
46% (522/1125)
Break Points Won % (Total)
46% (1275/2749)
45% (4192/9355)
Return Points Win %
44% (10507/23950)
0% (0/0)
Slam W/L
0% (0/0)
0% (0/0)
Masters W/L
0% (0/0)
0% (0/0)
Cups W/L
0% (0/0)
0% (0/0)
Main Tour W/L
0% (0/0)
0% (0/0)
Tour Finals W/L
0% (0/0)
43% (43/57)
Challenger W/L
46% (145/169)
60% (53/36)
Futures W/L
57% (131/99)
51% (94/185)
Best of 3 Sets Win %
50% (270/536)
0% (0/0)
Best of 5 Sets Win %
100% (2/2)
40% (10/25)
Tiebreaks Win % (Total)
42% (46/109)
55% (23/42)
Deciding Set Win %
46% (68/148)
87% (95/83)
1st Set Won, Won Match
84% (277/232)
13% (95/12)
1st Set Won, Lost Match
16% (277/44)
14% (94/13)
1st Set Lost, Won Match
15% (267/40)
Other Predictions
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