Matilde Paoletti vs Emily Appleton Head-to-Head Stats, Results & Performance Comparison
By Wojtek Kolan
Form
W L W W L L W W W L
Form
W W W W W W W W W LHead-to-head: Paoletti 0 - 1 Appleton
They have played 2 sets in total, with Paoletti winning 0 and Appleton winning 2. The last match between Paoletti and Appleton was at the W35 Manchester, 19-02-2025, Second, I.hard with Emily Appleton getting the victory 7-6(4) 7-5.
W35 Manchester(19-02-2025)
7
6
7
5
Today’s Tennis Tips:
Kartal VS Townsend PREDICTION Hard
Miami Open - Miami wta
17 Mar 2025 / Q3
ODDS
PREDICTION
EDGE
Joint VS Masarova PREDICTION Hard
Miami Open - Miami wta
17 Mar 2025 / Q3
ODDS
PREDICTION
EDGE
| Winning Player | Losing Player | Score | |||
|---|---|---|---|---|---|
| 7-6(4) 7-5 |
Stats 
Emily Appleton
Player
Matilde Paoletti
58%
(
32 of
55)
1st Serve %
82%
(
59 of
72)
11
Aces
0
3
Double Faults
1
84%
(
27 of
32)
1st Serve Won
64%
(
38 of
59)
65%
(
15 of
23)
2nd Serve Won
54%
(
7 of
13)
17%
(
1 of
6)
Break Points Won
33%
(
1 of
3)
24%
(
13 of
55)
Rtn Points Won
38%
(
27 of
72)
69
Total Points Won
58
|
||||
Stats
0
H2H Matches
1
0
Sets Won
2
11
Games Won
14
0
Aces (Total)
11
1
Total Double Faults
3
1:33:41
Average Match Time
1:33:41
82% (59/72)
1st Serve %
58% (32/55)
64% (38/59)
1st Serve Win %
84% (27/32)
54% (7/13)
2nd Serve Win %
65% (15/23)
33% (1/3)
Break Points Won % (Total)
17% (1/6)
24% (13/55)
Return Points Win %
38% (27/72)
0% (0/1)
Best of 3 Sets Win %
100% (1/1)
0% (0/0)
Best of 5 Sets Win %
0% (0/0)
0% (0/1)
Tiebreaks Win % (Total)
100% (1/1)
0% (0/0)
Deciding Set Win %
0% (0/0)
0% (0/0)
1st Set Won, Won Match
100% (1/1)
0% (0/0)
1st Set Won, Lost Match
0% (1/0)
0% (1/0)
1st Set Lost, Won Match
0% (0/0)
Currently displayed stats includes matches of all levels. To exclude lower level events (as per ATP / WTA official stats) toggle button in page footer.
Matilde Paoletti vs Emily Appleton Important H2H Prediction Stats:
Head-to-head: Matilde Paoletti 0 - 1 Emily Appleton
Predicting the Outcome of an Upcoming Tennis Match
In the realm of tennis predictions, it is essential to delve into various insightful aspects pertaining to the players' performances. Expounding upon the upcoming match, let us scrutinize a multitude of factors to gain a comprehensive overview of the potential outcome.
A notable consideration is the second serve performance, a crucial element in recent matches. Over the past six months, Paoletti triumphed in an admirable 44.69% of points on their second serve; conversely, Appleton's prowess allowed them to conquer an impressive 46.96% of these points. This statistic bears a high correlation with match prediction accuracy, shedding light on the players’ abilities to seize opportunities.
Another pivotal facet is the return game statistics, which offer substantial insights. Analyzing the recent form, Paoletti emerged victorious in an admirable 57.67% of their opponent's second serve points. On the other hand, Appleton secured a commendable 51.91% in this domain. When considering first serve returns, Paoletti attained a respectable 42.89%, juxtaposed to Appleton's 34.04%. These figures possess a significant correlation in discerning the favored player in this highly anticipated head-to-head matchup.
An evaluation of the players' abilities under pressure is paramount. Paoletti demonstrated fortitude by saving an impressive 51.75% of breakpoints in recent matches. Comparatively, Appleton showcased remarkable resilience by saving 67.14% of breakpoints. This statistic serves as a valuable tool for in-game betting prognostications.
A comprehensive overview of the players' performances over the past year illuminates their standings. Paoletti boasts a commendable 65.71% win rate, prevailing in 23 out of 35 matches played. In contrast, Appleton achieved success in 54.55% of their matches, accounting for 30 wins out of 55. These statistics contribute to the overall prediction analysis of their forthcoming encounter.
Turning our attention to the playing surfaces, it is intriguing to note that Paoletti showcased their prowess on I.hard by securing an impressive win rate of 67% (8 victories out of 12 matches). On the grass, however, their performance was lackluster, failing to register a single win out of their sole match. Conversely, Appleton's highest career win percentage aligns with I.hard, where they emerged triumphant in 56% of their matches. Conversely, on grass, they garnered a win rate of 41% (13 wins out of 32 matches). These surface-specific insights aid in forecasting the players' performances.
An assessment of the players' levels is imperative in the prediction journey. Paoletti primarily competed in the Challengers/ITF tournaments exceeding a prestigious $10,000 threshold, achieving victories in an impressive 65.71% of their matches. Conversely, Appleton also participated in these esteemed tournaments, registering a win percentage of 59.57% (28 victories out of 47 matches). Predicating the favorite in this matchup necessitates a thorough examination of their respective event levels.
Furthermore, it is worth contemplating the caliber of opponents both players encountered. Over the past year, Paoletti faced opponents with an average rank of 367.46, while Appleton took on players with an average rank of 327.98. Considering the quality of opposition further enriches the prediction analysis.
In instances where matches extend to a decisive set, evaluating the players' performances in such circumstances becomes imperative. In the last 12 months, Paoletti achieved an impressive win rate of 68% in deciding sets, while Appleton attained a respectable 50% win rate in all matches played during their tour. These figures hold particular significance for live predictions and betting enthusiasts.
While past player performances are invaluable in predicting tennis matches, it is equally essential to scrutinize current event statistics for indications of in-form players. To this end, one should reference the section below [link] to ascertain whether the players have participated in a match within the current event. Additionally, players' performances might vary contingent upon the event itself, necessitating careful consideration when making predictions.
Break point conversion rates serve as a pertinent statistic in live betting scenarios. In recent form, Paoletti tactfully converted 48.14% of breakpoint opportunities, highlighting their proficiency in capitalizing on pivotal moments. Comparatively, Appleton exhibited a conversion rate of 40.63% when presented with chances to break their opponents' serve. These figures offer invaluable guidance to bettors as they navigate the dynamic landscape of in-game wagers.
For those intrigued by models that predict tennis matches, a recommended starting point is the following article. However, it is crucial to note that this source is tailored towards avid enthusiasts of statistics.
Matilde Paoletti Recent Matches Played
Before:
| OPPONENT | Score | H2H | |||
|---|---|---|---|---|---|
| R2 |
Stats
Emily Appleton
Player
Matilde Paoletti
58%
(
32 of
55)
1st Serve %
82%
(
59 of
72)
11
Aces
0
3
Double Faults
1
84%
(
27 of
32)
1st Serve Won
64%
(
38 of
59)
65%
(
15 of
23)
2nd Serve Won
54%
(
7 of
13)
17%
(
1 of
6)
Break Points Won
33%
(
1 of
3)
24%
(
13 of
55)
Rtn Points Won
38%
(
27 of
72)
69
Total Points Won
58
|
7-6(4) 7-5 | H2H | ||
| R1 |
Stats
Matilde Paoletti
Player
Hiromi Abe
76%
(
67 of
88)
1st Serve %
69%
(
68 of
98)
1
Aces
2
3
Double Faults
2
57%
(
38 of
67)
1st Serve Won
60%
(
41 of
68)
52%
(
11 of
21)
2nd Serve Won
43%
(
13 of
30)
28%
(
5 of
18)
Break Points Won
71%
(
5 of
7)
44%
(
39 of
88)
Rtn Points Won
45%
(
44 of
98)
93
Total Points Won
93
|
3-6 7-5 6-4 | H2H | ||
| QF |
Stats
Matilde Paoletti
Player
Ranah Akua Stoiber
70%
(
64 of
91)
1st Serve %
63%
(
36 of
57)
0
Aces
4
4
Double Faults
1
61%
(
39 of
64)
1st Serve Won
72%
(
26 of
36)
37%
(
10 of
27)
2nd Serve Won
52%
(
11 of
21)
100%
(
1 of
1)
Break Points Won
29%
(
4 of
14)
46%
(
42 of
91)
Rtn Points Won
35%
(
20 of
57)
69
Total Points Won
79
|
7-6(4) 1-6 10-7 | H2H | ||
| Q1 |
Stats
Matilde Paoletti
Player
Hephzibah Oluwadare
82%
(
47 of
57)
1st Serve %
62%
(
43 of
69)
0
Aces
2
1
Double Faults
5
68%
(
32 of
47)
1st Serve Won
47%
(
20 of
43)
30%
(
3 of
10)
2nd Serve Won
42%
(
11 of
26)
46%
(
6 of
13)
Break Points Won
40%
(
2 of
5)
39%
(
22 of
57)
Rtn Points Won
55%
(
38 of
69)
73
Total Points Won
53
|
6-1 6-4 | H2H | ||
| R1 |
Stats
Lucrezia Stefanini
Player
Matilde Paoletti
65%
(
34 of
52)
1st Serve %
78%
(
42 of
54)
2
Aces
0
4
Double Faults
2
65%
(
22 of
34)
1st Serve Won
57%
(
24 of
42)
39%
(
7 of
18)
2nd Serve Won
67%
(
8 of
12)
50%
(
2 of
4)
Break Points Won
33%
(
3 of
9)
44%
(
23 of
52)
Rtn Points Won
41%
(
22 of
54)
51
Total Points Won
55
|
7-6(4) 6-3 | H2H | ||
| QF |
Stats
Anna-Lena Friedsam
Player
Matilde Paoletti
68%
(
47 of
69)
1st Serve %
72%
(
49 of
68)
3
Aces
0
5
Double Faults
2
70%
(
33 of
47)
1st Serve Won
53%
(
26 of
49)
32%
(
7 of
22)
2nd Serve Won
37%
(
7 of
19)
40%
(
6 of
15)
Break Points Won
36%
(
4 of
11)
42%
(
29 of
69)
Rtn Points Won
51%
(
35 of
68)
75
Total Points Won
62
|
1-6 6-2 6-0 | H2H | ||
| R2 |
Stats
Matilde Paoletti
Player
Ariana Arseneault
70%
(
28 of
40)
1st Serve %
67%
(
40 of
60)
0
Aces
2
3
Double Faults
7
64%
(
18 of
28)
1st Serve Won
43%
(
17 of
40)
33%
(
4 of
12)
2nd Serve Won
20%
(
4 of
20)
62%
(
8 of
13)
Break Points Won
67%
(
4 of
6)
45%
(
18 of
40)
Rtn Points Won
65%
(
39 of
60)
61
Total Points Won
39
|
6-1 6-3 | H2H | ||
| R1 |
Stats
Matilde Paoletti
Player
Ellie Schoppe
80%
(
97 of
122)
1st Serve %
55%
(
51 of
92)
0
Aces
3
4
Double Faults
5
56%
(
54 of
97)
1st Serve Won
61%
(
31 of
51)
28%
(
7 of
25)
2nd Serve Won
24%
(
10 of
41)
67%
(
8 of
12)
Break Points Won
38%
(
8 of
21)
50%
(
61 of
122)
Rtn Points Won
55%
(
51 of
92)
112
Total Points Won
102
|
3-6 6-3 7-6(4) | H2H | ||
| SF |
Stats
Nastasja Mariana Schunk
Player
Matilde Paoletti
49%
(
34 of
69)
1st Serve %
68%
(
68 of
100)
8
Aces
0
3
Double Faults
1
74%
(
25 of
34)
1st Serve Won
51%
(
35 of
68)
66%
(
23 of
35)
2nd Serve Won
53%
(
17 of
32)
55%
(
6 of
11)
Break Points Won
38%
(
3 of
8)
30%
(
21 of
69)
Rtn Points Won
48%
(
48 of
100)
96
Total Points Won
73
|
4-6 6-4 6-1 | H2H | ||
| QF | 3-6 7-6(5) 7-6(2) | H2H | |||
view more
Emily Appleton Recent Matches Played
Before:
| OPPONENT | Score | H2H | |||
|---|---|---|---|---|---|
| F |
Stats
Christasha McNeil
Player
Emily Appleton
64%
(
34 of
53)
1st Serve %
58%
(
35 of
60)
2
Aces
2
1
Double Faults
5
68%
(
23 of
34)
1st Serve Won
66%
(
23 of
35)
53%
(
10 of
19)
2nd Serve Won
32%
(
8 of
25)
56%
(
5 of
9)
Break Points Won
60%
(
3 of
5)
38%
(
20 of
53)
Rtn Points Won
48%
(
29 of
60)
62
Total Points Won
51
|
6-4 6-4 | H2H | ||
| SF |
Stats
Emily Appleton
Player
Ariana Arseneault
57%
(
35 of
61)
1st Serve %
67%
(
45 of
67)
3
Aces
1
1
Double Faults
4
69%
(
24 of
35)
1st Serve Won
47%
(
21 of
45)
46%
(
12 of
26)
2nd Serve Won
32%
(
7 of
22)
58%
(
7 of
12)
Break Points Won
67%
(
4 of
6)
41%
(
25 of
61)
Rtn Points Won
58%
(
39 of
67)
75
Total Points Won
53
|
7-5 6-3 | H2H | ||
| QF |
Stats
Emily Appleton
Player
Dasha Ivanova
51%
(
31 of
61)
1st Serve %
71%
(
41 of
58)
3
Aces
1
7
Double Faults
0
61%
(
19 of
31)
1st Serve Won
46%
(
19 of
41)
47%
(
14 of
30)
2nd Serve Won
53%
(
9 of
17)
75%
(
6 of
8)
Break Points Won
50%
(
3 of
6)
46%
(
28 of
61)
Rtn Points Won
52%
(
30 of
58)
63
Total Points Won
56
|
6-3 6-4 | H2H | ||
| R2 |
Stats
Emily Appleton
Player
Elizabeth Ionescu
63%
(
37 of
59)
1st Serve %
78%
(
56 of
72)
4
Aces
0
5
Double Faults
1
70%
(
26 of
37)
1st Serve Won
50%
(
28 of
56)
36%
(
8 of
22)
2nd Serve Won
25%
(
4 of
16)
54%
(
7 of
13)
Break Points Won
75%
(
3 of
4)
42%
(
25 of
59)
Rtn Points Won
56%
(
40 of
72)
74
Total Points Won
57
|
6-1 2-6 6-0 | H2H | ||
| R1 |
Stats
Emily Appleton
Player
Krisha Mahendran
63%
(
50 of
80)
1st Serve %
78%
(
57 of
73)
5
Aces
0
4
Double Faults
5
72%
(
36 of
50)
1st Serve Won
61%
(
35 of
57)
50%
(
15 of
30)
2nd Serve Won
31%
(
5 of
16)
71%
(
5 of
7)
Break Points Won
50%
(
3 of
6)
36%
(
29 of
80)
Rtn Points Won
45%
(
33 of
73)
84
Total Points Won
69
|
6-2 3-6 6-3 | H2H | ||
| F |
Stats
Emily Appleton
Player
Malaika Rapolu
67%
(
57 of
85)
1st Serve %
48%
(
41 of
85)
14
Aces
1
4
Double Faults
4
72%
(
41 of
57)
1st Serve Won
68%
(
28 of
41)
50%
(
14 of
28)
2nd Serve Won
57%
(
25 of
44)
50%
(
3 of
6)
Break Points Won
40%
(
2 of
5)
35%
(
30 of
85)
Rtn Points Won
38%
(
32 of
85)
87
Total Points Won
83
|
6-3 3-6 6-3 | H2H | ||
| SF |
Stats
Emily Appleton
Player
Valentina Ivanov
67%
(
34 of
51)
1st Serve %
57%
(
30 of
53)
5
Aces
1
2
Double Faults
11
76%
(
26 of
34)
1st Serve Won
53%
(
16 of
30)
47%
(
8 of
17)
2nd Serve Won
35%
(
8 of
23)
56%
(
5 of
9)
Break Points Won
25%
(
1 of
4)
33%
(
17 of
51)
Rtn Points Won
55%
(
29 of
53)
63
Total Points Won
41
|
6-3 6-1 | H2H | ||
| QF |
Stats
Emily Appleton
Player
Fiona Crawley
69%
(
70 of
102)
1st Serve %
62%
(
62 of
100)
13
Aces
1
10
Double Faults
2
73%
(
51 of
70)
1st Serve Won
47%
(
29 of
62)
41%
(
13 of
32)
2nd Serve Won
68%
(
26 of
38)
55%
(
6 of
11)
Break Points Won
20%
(
3 of
15)
37%
(
38 of
102)
Rtn Points Won
45%
(
45 of
100)
109
Total Points Won
93
|
6-4 6-7(4) 6-2 | H2H | ||
| R2 |
Stats
Emily Appleton
Player
Klara Kosan
64%
(
32 of
50)
1st Serve %
53%
(
28 of
53)
5
Aces
0
3
Double Faults
6
84%
(
27 of
32)
1st Serve Won
61%
(
17 of
28)
67%
(
12 of
18)
2nd Serve Won
52%
(
13 of
25)
38%
(
3 of
8)
Break Points Won
0%
(
0 of
5)
22%
(
11 of
50)
Rtn Points Won
43%
(
23 of
53)
62
Total Points Won
41
|
6-3 6-3 | H2H | ||
| R1 |
Stats
Emily Appleton
Player
Victoria Gomez
60%
(
37 of
62)
1st Serve %
65%
(
37 of
57)
3
Aces
1
7
Double Faults
2
73%
(
27 of
37)
1st Serve Won
43%
(
16 of
37)
24%
(
6 of
25)
2nd Serve Won
30%
(
6 of
20)
58%
(
7 of
12)
Break Points Won
43%
(
3 of
7)
47%
(
29 of
62)
Rtn Points Won
61%
(
35 of
57)
68
Total Points Won
51
|
6-4 6-1 | H2H | ||
view more
Stats Breakdown Vs All H2H Opponents
Stats
58% (63/45)
Win/Loss
52% (211/198)
55% (142/115)
Sets Win/Loss
52% (482/449)
52% (1244/1160)
Games Win/Loss
51% (4408/4193)
33% (1/2)
Hard Win/Loss
50% (61/60)
60% (52/35)
Clay Win/Loss
46% (56/65)
59% (10/7)
Indoor Hard W/L
60% (81/54)
0% (0/1)
Grass Win/Loss
41% (13/19)
0.07
Aces Per Game
0.39
79
Aces Total
1658
0.37
Double Faults Per Game
0.47
433
Total Double Faults
1990
1:42:30
Average Match Time
1:26:6
418.06
Average Opponent Rank
494.28
67% (5015/7436)
1st Serve %
59% (14493/24719)
59% (2948/5015)
1st Serve Win %
68% (9869/14493)
43% (1049/2421)
2nd Serve Win %
43% (4445/10225)
48% (496/1035)
Break Points Won % (Total)
45% (1301/2863)
47% (3568/7515)
Return Points Win %
43% (10936/25217)
0% (0/0)
Slam W/L
0% (0/2)
0% (0/1)
Masters W/L
0% (0/0)
0% (0/0)
Cups W/L
0% (0/0)
50% (3/3)
Main Tour W/L
31% (4/9)
0% (0/0)
Tour Finals W/L
0% (0/0)
61% (51/33)
Challenger W/L
45% (107/133)
53% (9/8)
Futures W/L
65% (100/54)
59% (62/105)
Best of 3 Sets Win %
51% (210/408)
0% (0/0)
Best of 5 Sets Win %
0% (0/0)
61% (14/23)
Tiebreaks Win % (Total)
49% (40/81)
64% (28/44)
Deciding Set Win %
46% (53/114)
83% (64/53)
1st Set Won, Won Match
85% (220/186)
17% (64/11)
1st Set Won, Lost Match
15% (220/34)
25% (44/11)
1st Set Lost, Won Match
13% (189/25)
Other Predictions
Today's Tennis Prediction News :
- Loading news...
If you are looking to predict tennis or soccer matches, Matchstat.com has you covered! We have league, player and team stats, and specialise in detailed h2h stats between tennis players or soccer teams.
All our predictions are based on machine learning and AI. Matchstat is designed to help you in your analysis and predictions but the responsibility for your final predictions are your own.
It's good to talk... Get in touch with us [email protected]
