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Max Purcell vs Denis Kudla Prediction, Head-to-Head, Odds & Pick - Matchstat.com
By Wojtek Kolan
At Matchstat.com we give you unbeatable in-depth analysis of past and current event tennis stats, to give you accurate tennis predictions, picks, odds and value bets. Let's dive in with our Purcell vs Kudla analysis and find out who is favored!
Max Purcell vs Denis Kudla Important H2H Prediction Stats:
- Second serve performance recent form: In recent form (last 6 months), Purcell has won 50.23% of points on his second serve, while Kudla has won 50.81%. There is a high correlation between this stat and match prediction accuracy.
- Return game stats recent form: Return stats show Purcell, in recent form, has won 45.29% of his opponent's second serve points, while Kudla has won 54.24%. The same stats for first serve returns are 26.14% and 30.39% respectively and this has a high correlation to pick who is favored in this H2H matchup.
- Under pressure analysis: Purcell has saved 60.48% of breakpoints in recent form, whereas Kudla has saved 63.13% which is a useful statistic for in-game betting predictions.
- Performance overview: Over the last year Purcell has won 46.67% of matches played (W/L 28/ 32), with Kudla winning 55.56% (W/L 35/ 28) that gives us an overall head-to head prediction overview.
- Best surface: Purcell has their best career surface win % on Hard, winning 59% (W/L 202/ 139), and worse career win % on I.hard, winning 51% (W/L 20/ 19). Kudla has their best career surface win % on I.hard, winning 62% (W/L 102/ 62), and worse career win % on Clay, winning 48% (W/L 73/ 78).
- Player level: In the last year, Purcell has played most of their matches on the Main tour, winning 33.33% of matches (W/L 9/ 18), where as Kudla has played most of their matches on the Challengers/ITF tournaments > $10K, winning 59.57% of matches (W/L 28/ 19). When comparing stats between players to predict the favorite, it is of course all relative to the event level they have been playing at.
- Direct H2H matches: They have played 3 times before with Purcell winning 1 times. They have played 8 sets in total, with Purcell winning 3 and Kudla winning 5. The last match between Purcell and Kudla was at the Surbiton Challenger, 03-06-2022, Quarterfinals, Grass with Denis Kudla getting the victory .
- Head to head match duration: In past head to head matches, the average match time between these players has been 1:56:6.
- Deciding set H2H prediction: Purcell and Kudla have played a deciding set 2 times, with Purcell winning 1 times and Kudla 1 times. Very useful for predicting the outcome if this match goes the distance.
- Head-to-Head extreme pressure situations: They have played 1 tiebreaks against each other with Purcell winning 0, and Kudla 1.
- Opponent quality stats: Over the last 12 months, Purcell has played against opponents with an average rank of 194.55 while Kudla has played against players with an average rank of 269.25.
- Deciding set performance vs all players: If you are interested in live predictions and betting, if this match goes into a deciding set, Purcell has won 44% of deciding sets over the last 12 months, while Kudla has won 50% in all matches played on tour.
- Break point conversion: In recent form, Purcell has converted 29.63% of breakpoint opportunities, and Kudla has converted 36.61% of their chances to break their opponents serve. A telling stat for in-game live betting tips when either player has a breakpoint opportunity.
Head-to-head: Purcell 1 - 2 Kudla
78
Rank
40
High
26
Age
R
Plays
1
Total2
0
Hard1
1
Clay0
0
Indoor0
0
Grass1
163
Rank
53
High
31
Age
R
Plays
W
L
L
W
L
L
L
L
W
L
Form
W
W
L
W
W
W
L
L
L
L
57% (271-201)
Career Total W/L
56% (494-387)
33% (5-10)
YTD W/L
57% (13-10)
$905,950
Career Prize Money
$2,357,445
0
YTD Titles
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.
| stats | Max Purcell | Denis Kudla |
|---|---|---|
| All H2H Matches | 1 | 2 |
| Sets Won | 3 | 5 |
| Games Won | 38 | 44 |
| Aces (Total) | 38 | 16 |
| DFs (Total) | 8 | 9 |
| Avg Match Time | 1:56:6 | 1:56:6 |
| 1st Serve % | 56% (153/275) | 66% (166/252) |
| 1st Serve Win% | 77% (118/153) | 73% (121/166) |
| 2nd Serve Win% | 44% (54/122) | 53% (46/86) |
| BPs Won% (Total) | 33% (7/21) | 30% (10/33) |
| Return Points W% | 34% (85/252) | 37% (103/275) |
| Best of 3 Sets W% | 33% (1/3) | 67% (2/3) |
| Best of 5 Sets W% | 0% (0/0) | 0% (0/0) |
| TBs Win% (Total) | 0% (0/1) | 100% (1/1) |
| Deciding Set Win% | 50% (1/2) | 50% (1/2) |
| 1st set W, W | 0% (0/0) | 67% (3/2) |
| 1st set W, L | 0% (0/0) | 33% (3/1) |
| 1st set L, W | 33% (3/1) | 0% (0/0) |
| Winning Player | Losing Player | Score | |||
|---|---|---|---|---|---|
| 6-4 7-6(4) |
Stats 
Denis Kudla
Player
Max Purcell
67%
(
49 of
73)
1st Serve %
61%
(
39 of
64)
5
Aces
10
0
Double Faults
1
78%
(
38 of
49)
1st Serve Won
85%
(
33 of
39)
63%
(
15 of
24)
2nd Serve Won
48%
(
12 of
25)
50%
(
2 of
4)
Break Points Won
11%
(
1 of
9)
27%
(
20 of
73)
Rtn Points Won
30%
(
19 of
64)
72
Total Points Won
65
|
||||
| 6-4 5-7 6-2 |
Stats
Denis Kudla
Player
Max Purcell
61%
(
59 of
97)
1st Serve %
56%
(
62 of
110)
6
Aces
21
3
Double Faults
5
68%
(
40 of
59)
1st Serve Won
77%
(
48 of
62)
58%
(
22 of
38)
2nd Serve Won
31%
(
15 of
48)
31%
(
5 of
16)
Break Points Won
50%
(
3 of
6)
36%
(
35 of
97)
Rtn Points Won
43%
(
47 of
110)
109
Total Points Won
98
|
||||
| 3-6 6-4 6-4 |
Stats
Max Purcell
Player
Denis Kudla
51%
(
52 of
101)
1st Serve %
71%
(
58 of
82)
7
Aces
5
2
Double Faults
6
71%
(
37 of
52)
1st Serve Won
74%
(
43 of
58)
55%
(
27 of
49)
2nd Serve Won
38%
(
9 of
24)
50%
(
3 of
6)
Break Points Won
23%
(
3 of
13)
37%
(
37 of
101)
Rtn Points Won
37%
(
30 of
82)
94
Total Points Won
89
|
||||
Stats Breakdown Vs All H2H Opponents
| stats | Max Purcell | Denis Kudla |
|---|---|---|
| YTD W/L | 33% (5/10) | 57% (13/10) |
| Sets Win/Loss | 38% (15/25) | 57% (31/23) |
| Games Win/Loss | 44% (173/219) | 52% (262/240) |
| Hard Win/Loss | 27% (3/8) | 63% (5/3) |
| Clay Win/Loss | 50% (1/1) | 43% (3/4) |
| Indoor Hard W/L | 50% (1/1) | 63% (5/3) |
| Grass Win/Loss | 0% (0/0) | 0% (0/0) |
| Aces pg | 0.61 | 0.52 |
| Aces Total | 118 | 128 |
| DFs per game | 0.24 | 0.24 |
| DFs Total | 46 | 60 |
| Avg Match Time | 1:51:34 | 1:40:35 |
| Avg Opp Rank | 147.53 | 231.04 |
| 1st Serve % | 56% (674/1197) | 58% (921/1596) |
| 1st Serve W% | 73% (489/674) | 70% (649/921) |
| 2nd Serve W% | 52% (270/523) | 50% (339/675) |
| BPs Won% Total | 27% (24/88) | 40% (74/186) |
| Return Pts W% | 32% (372/1164) | 41% (659/1627) |
| Slam W/L | 50% (1/1) | 50% (1/1) |
| Masters W/L | 0% (0/2) | 67% (2/1) |
| Cups W/L | 0% (0/0) | 0% (0/0) |
| Main Tour W/L | 36% (4/7) | 40% (2/3) |
| Tour Finals W/L | 0% (0/0) | 0% (0/0) |
| Challenger W/L | 0% (0/0) | 62% (8/5) |
| Futures W/L | 0% (0/0) | 0% (0/0) |
| Best of 3 Sets W% | 31% (4/13) | 57% (13/23) |
| Best of 5 Sets W% | 50% (1/2) | 0% (0/0) |
| TBs Win% (Total) | 60% (3/5) | 71% (5/7) |
| Deciding Set W% | 50% (3/6) | 38% (3/8) |
| 1st set W, W | 67% (6/4) | 86% (14/12) |
| 1st set W, L | 33% (6/2) | 14% (14/2) |
| 1st set L, W | 11% (9/1) | 11% (9/1) |
Max Purcell Recent Matches Played
Before:
| opponent | Score | H2H | |||
|---|---|---|---|---|---|
| R2 |
Stats
Michael Mmoh
Player
Max Purcell
71%
(
39 of
55)
1st Serve %
48%
(
31 of
65)
7
Aces
5
0
Double Faults
4
82%
(
32 of
39)
1st Serve Won
71%
(
22 of
31)
63%
(
10 of
16)
2nd Serve Won
47%
(
16 of
34)
50%
(
3 of
6)
Break Points Won
0%
(
0 of
1)
24%
(
13 of
55)
Rtn Points Won
42%
(
27 of
65)
69
Total Points Won
51
|
6-2 7-5 | H2H | ||
| R1 |
Stats
Max Purcell
Player
Alex Michelsen
42%
(
44 of
105)
1st Serve %
69%
(
82 of
119)
8
Aces
13
3
Double Faults
5
77%
(
34 of
44)
1st Serve Won
66%
(
54 of
82)
61%
(
37 of
61)
2nd Serve Won
54%
(
20 of
37)
29%
(
4 of
14)
Break Points Won
29%
(
2 of
7)
32%
(
34 of
105)
Rtn Points Won
38%
(
45 of
119)
116
Total Points Won
108
|
7-5 6-7(4) 6-4 | H2H | ||
| R1 | 6-2 6-1 | H2H | |||
| R1 |
Stats
Gael Monfils
Player
Max Purcell
60%
(
32 of
53)
1st Serve %
50%
(
27 of
54)
10
Aces
0
1
Double Faults
5
78%
(
25 of
32)
1st Serve Won
67%
(
18 of
27)
57%
(
12 of
21)
2nd Serve Won
30%
(
8 of
27)
50%
(
4 of
8)
Break Points Won
0%
(
0 of
1)
30%
(
16 of
53)
Rtn Points Won
52%
(
28 of
54)
65
Total Points Won
42
|
6-1 6-2 | H2H | ||
| R1 |
Stats
Frances Tiafoe
Player
Max Purcell
55%
(
43 of
78)
1st Serve %
51%
(
43 of
84)
4
Aces
11
3
Double Faults
6
72%
(
31 of
43)
1st Serve Won
72%
(
31 of
43)
66%
(
23 of
35)
2nd Serve Won
41%
(
17 of
41)
31%
(
4 of
13)
Break Points Won
13%
(
1 of
8)
31%
(
24 of
78)
Rtn Points Won
43%
(
36 of
84)
90
Total Points Won
72
|
4-6 6-3 6-0 | H2H | ||
| R2 |
Stats
Nuno Borges
Player
Max Purcell
55%
(
27 of
49)
1st Serve %
56%
(
36 of
64)
5
Aces
0
0
Double Faults
5
85%
(
23 of
27)
1st Serve Won
67%
(
24 of
36)
68%
(
15 of
22)
2nd Serve Won
46%
(
13 of
28)
50%
(
3 of
6)
Break Points Won
0%
(
0 of
1)
22%
(
11 of
49)
Rtn Points Won
42%
(
27 of
64)
65
Total Points Won
48
|
6-3 6-3 | H2H | ||
| R1 |
Stats
Max Purcell
Player
Matteo Arnaldi
53%
(
55 of
103)
1st Serve %
58%
(
56 of
97)
5
Aces
7
4
Double Faults
1
67%
(
37 of
55)
1st Serve Won
63%
(
35 of
56)
50%
(
24 of
48)
2nd Serve Won
54%
(
22 of
41)
50%
(
5 of
10)
Break Points Won
44%
(
4 of
9)
41%
(
42 of
103)
Rtn Points Won
41%
(
40 of
97)
101
Total Points Won
99
|
6-4 4-6 6-4 | H2H | ||
| R1 |
Stats
Zachary Svajda
Player
Max Purcell
67%
(
55 of
82)
1st Serve %
43%
(
25 of
58)
5
Aces
1
6
Double Faults
2
73%
(
40 of
55)
1st Serve Won
68%
(
17 of
25)
44%
(
12 of
27)
2nd Serve Won
52%
(
17 of
33)
50%
(
3 of
6)
Break Points Won
13%
(
1 of
8)
37%
(
30 of
82)
Rtn Points Won
41%
(
24 of
58)
76
Total Points Won
64
|
7-5 6-3 | H2H | ||
| R2 |
Stats
Marcos Giron
Player
Max Purcell
60%
(
33 of
55)
1st Serve %
58%
(
41 of
71)
3
Aces
9
0
Double Faults
0
76%
(
25 of
33)
1st Serve Won
61%
(
25 of
41)
59%
(
13 of
22)
2nd Serve Won
53%
(
16 of
30)
38%
(
3 of
8)
Break Points Won
0%
(
0 of
1)
31%
(
17 of
55)
Rtn Points Won
42%
(
30 of
71)
68
Total Points Won
58
|
6-4 6-3 | H2H | ||
| R1 |
Stats
Max Purcell
Player
Mitchell Krueger
59%
(
66 of
112)
1st Serve %
77%
(
66 of
86)
14
Aces
6
5
Double Faults
1
73%
(
48 of
66)
1st Serve Won
65%
(
43 of
66)
52%
(
24 of
46)
2nd Serve Won
65%
(
13 of
20)
50%
(
3 of
6)
Break Points Won
40%
(
2 of
5)
36%
(
40 of
112)
Rtn Points Won
35%
(
30 of
86)
102
Total Points Won
96
|
6-2 4-6 7-6(3) | H2H | ||
view more
Denis Kudla Recent Matches Played
Before:
| opponent | Score | H2H | |||
|---|---|---|---|---|---|
| R1 |
Stats
Hady Habib
Player
Denis Kudla
63%
(
46 of
73)
1st Serve %
58%
(
46 of
80)
5
Aces
3
2
Double Faults
4
65%
(
30 of
46)
1st Serve Won
59%
(
27 of
46)
59%
(
16 of
27)
2nd Serve Won
59%
(
20 of
34)
50%
(
4 of
8)
Break Points Won
50%
(
3 of
6)
37%
(
27 of
73)
Rtn Points Won
41%
(
33 of
80)
79
Total Points Won
74
|
7-6(6) 6-4 | H2H | ||
| R1 |
Stats
Stefan Kozlov
Player
Denis Kudla
68%
(
54 of
79)
1st Serve %
64%
(
62 of
97)
3
Aces
2
3
Double Faults
3
69%
(
37 of
54)
1st Serve Won
50%
(
31 of
62)
52%
(
13 of
25)
2nd Serve Won
51%
(
18 of
35)
32%
(
6 of
19)
Break Points Won
33%
(
3 of
9)
37%
(
29 of
79)
Rtn Points Won
49%
(
48 of
97)
98
Total Points Won
78
|
6-2 4-6 6-2 | H2H | ||
| R1 |
Stats
Luciano Darderi
Player
Denis Kudla
62%
(
55 of
89)
1st Serve %
56%
(
50 of
89)
8
Aces
7
3
Double Faults
5
76%
(
42 of
55)
1st Serve Won
70%
(
35 of
50)
53%
(
18 of
34)
2nd Serve Won
49%
(
19 of
39)
38%
(
3 of
8)
Break Points Won
25%
(
3 of
12)
33%
(
29 of
89)
Rtn Points Won
39%
(
35 of
89)
95
Total Points Won
83
|
3-6 7-6(3) 6-2 | H2H | ||
| SF |
Stats
Nicolas Mejia
Player
Denis Kudla
49%
(
27 of
55)
1st Serve %
54%
(
41 of
76)
2
Aces
5
3
Double Faults
6
78%
(
21 of
27)
1st Serve Won
59%
(
24 of
41)
39%
(
11 of
28)
2nd Serve Won
31%
(
11 of
35)
43%
(
6 of
14)
Break Points Won
67%
(
4 of
6)
42%
(
23 of
55)
Rtn Points Won
54%
(
41 of
76)
73
Total Points Won
58
|
6-4 6-4 | H2H | ||
| QF |
Stats
Denis Kudla
Player
Bernard Tomic
50%
(
18 of
36)
1st Serve %
55%
(
27 of
49)
6
Aces
3
1
Double Faults
0
83%
(
15 of
18)
1st Serve Won
74%
(
20 of
27)
61%
(
11 of
18)
2nd Serve Won
32%
(
7 of
22)
33%
(
3 of
9)
Break Points Won
0%
(
0 of
0)
28%
(
10 of
36)
Rtn Points Won
45%
(
22 of
49)
48
Total Points Won
37
|
6-4 3-0 ret. | H2H | ||
| R2 |
Stats
Denis Kudla
Player
Vasek Pospisil
53%
(
33 of
62)
1st Serve %
48%
(
32 of
67)
3
Aces
5
4
Double Faults
9
76%
(
25 of
33)
1st Serve Won
66%
(
21 of
32)
55%
(
16 of
29)
2nd Serve Won
37%
(
13 of
35)
29%
(
4 of
14)
Break Points Won
33%
(
1 of
3)
34%
(
21 of
62)
Rtn Points Won
49%
(
33 of
67)
74
Total Points Won
55
|
6-0 7-6(3) | H2H | ||
| R1 |
Stats
Denis Kudla
Player
Juan Pablo Ficovich
53%
(
25 of
47)
1st Serve %
46%
(
30 of
65)
5
Aces
3
4
Double Faults
4
88%
(
22 of
25)
1st Serve Won
67%
(
20 of
30)
59%
(
13 of
22)
2nd Serve Won
34%
(
12 of
35)
57%
(
4 of
7)
Break Points Won
0%
(
0 of
4)
26%
(
12 of
47)
Rtn Points Won
51%
(
33 of
65)
68
Total Points Won
44
|
6-3 6-1 | H2H | ||
| QF |
Stats
Luca Van Assche
Player
Denis Kudla
63%
(
27 of
43)
1st Serve %
61%
(
38 of
62)
0
Aces
4
4
Double Faults
0
89%
(
24 of
27)
1st Serve Won
50%
(
19 of
38)
63%
(
10 of
16)
2nd Serve Won
50%
(
12 of
24)
100%
(
4 of
4)
Break Points Won
0%
(
0 of
2)
21%
(
9 of
43)
Rtn Points Won
50%
(
31 of
62)
65
Total Points Won
40
|
6-3 6-1 | H2H | ||
| R2 |
Stats
Denis Kudla
Player
Daniel Elahi Galan
61%
(
33 of
54)
1st Serve %
62%
(
41 of
66)
4
Aces
3
2
Double Faults
5
70%
(
23 of
33)
1st Serve Won
51%
(
21 of
41)
52%
(
11 of
21)
2nd Serve Won
36%
(
9 of
25)
45%
(
5 of
11)
Break Points Won
17%
(
1 of
6)
37%
(
20 of
54)
Rtn Points Won
55%
(
36 of
66)
70
Total Points Won
50
|
6-2 6-3 | H2H | ||
| R1 |
Stats
Denis Kudla
Player
Roman Safiullin
51%
(
57 of
112)
1st Serve %
44%
(
36 of
82)
4
Aces
10
1
Double Faults
12
65%
(
37 of
57)
1st Serve Won
75%
(
27 of
36)
51%
(
28 of
55)
2nd Serve Won
35%
(
16 of
46)
56%
(
5 of
9)
Break Points Won
23%
(
3 of
13)
42%
(
47 of
112)
Rtn Points Won
48%
(
39 of
82)
104
Total Points Won
90
|
6-3 3-6 6-1 | H2H | ||
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Today's H2H Tennis Betting Tips & Predictions
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.
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