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Karolina Pliskova vs Monica Puig 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 Pliskova vs Puig analysis and find out who is favored!
Karolina Pliskova vs Monica Puig Important H2H Prediction Stats:
Head-to-head: Pliskova 5 - 0 Puig
- Second serve performance recent form: In recent form (last 6 months), Pliskova has won 42.31% of points on their second serve, while Puig has won 0%. There is a high correlation between this stat and match prediction accuracy.
- Return game stats recent form: Return stats show Pliskova, in recent form, has won 52.25% of their opponent's second serve points, while Puig has won 0%. The same stats for first serve returns are 34.32% and 0% respectively and this has a high correlation to pick who is favored in this H2H matchup.
- Under pressure analysis: Pliskova has saved 64.26% of breakpoints in recent form, whereas Puig has saved 0% which is a useful statistic for in-game betting predictions.
- Performance overview: Over the last year Pliskova has won 52.5% of matches played (W/L 21/ 19), with Puig winning 0% (W/L 0/ 0) that gives us an overall head-to head prediction overview.
- Best surface: Pliskova has their best career surface win % on Grass, winning 66% (W/L 65/ 34), and worse career win % on Clay, winning 57% (W/L 133/ 102). Puig has their best career surface win % on I.hard, winning 68% (W/L 32/ 15), and worse career win % on Grass, winning 49% (W/L 17/ 18).
- Player level: In the last year, Pliskova has played most of their matches on the Main tour, winning 57.14% of matches (W/L 12/ 9), where as Puig has played most of their matches on the , winning 0% of matches (W/L / ). 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 5 times before with Pliskova winning 5 times and Puig being victorious 0 times. They have played 11 sets in total, with Pliskova winning 10 and Puig winning 1. The last match between Pliskova and Puig was at the Wimbledon - London, 03-07-2019, Second, Grass with Karolina Pliskova getting the victory 6-0 6-4.
- Head to head match duration: In past head to head matches, the average match time between these players has been 1:17:20.
- Deciding set H2H prediction: Pliskova and Puig have played a deciding set 1 times, with Pliskova winning 1 times and Puig 0 times. Very useful for predicting the outcome if this match goes the distance.
- Head-to-Head extreme pressure situations: They have played 0 tiebreaks against each other with Pliskova winning 0, and Puig 0.
- Opponent quality stats: Over the last 12 months, Pliskova has played against opponents with an average rank of 133.47 while Puig has played against players with an average rank of .
- Deciding set performance vs all players: If you are interested in live predictions and betting, if this match goes into a deciding set, Pliskova has won 41% of deciding sets over the last 12 months, while Puig has won 0% in all matches played on tour.
- Break point conversion: In recent form, Pliskova has converted 44.3% of breakpoint opportunities, and Puig has converted 0% of their chances to break their opponents serve. A telling stat for in-game live betting tips when either player has a breakpoint opportunity.
- If you are interested in models that predict tennis matches, this article is a good start (Warning: Stats geeks only)
42
Rank
1
High
32
Age
R
Plays
5
Total0
3
Hard0
0
Clay0
0
Indoor0
2
Grass0
786
Rank
27
High
30
Age
R
Plays
W
L
L
L
W
W
W
L
W
L
Form
L
L
W
W
L
L
L
L
L
L
63% (616-357)
Career Total W/L
58% (302-218)
61% (17-11)
YTD W/L
0% (0-0)
$18,406,153
Career Prize Money
$2,050,916
1
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.
The Best Odds For Karolina Pliskova vs Monica Puig For Any Market:
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| stats | Karolina Pliskova | Monica Puig |
|---|---|---|
| All H2H Matches | 5 | 0 |
| Sets Won | 10 | 1 |
| Games Won | 61 | 35 |
| Aces (Total) | 34 | 12 |
| DFs Total | 10 | 23 |
| Avg Match Time | 1:17:20 | 1:17:20 |
| 1st Serve % | 58% (169/289) | 59% (183/309) |
| 1st Serve Win% | 73% (124/169) | 60% (110/183) |
| 2nd Serve Win% | 52% (62/120) | 38% (48/126) |
| BPs Won% (Total) | 53% (23/43) | 52% (11/21) |
| Return Points W% | 49% (151/309) | 36% (103/289) |
| Best of 3 Sets W% | 100% (5/5) | 0% (0/5) |
| Best of 5 Sets W% | 0% (0/0) | 0% (0/0) |
| TBs Win% (Total) | 0% (0/0) | 0% (0/0) |
| Deciding Set Win% | 100% (1/1) | 0% (0/1) |
| 1st set W, W | 100% (4/4) | 0% (1/0) |
| 1st set W, L | 0% (4/0) | 100% (1/1) |
| 1st set L, W | 100% (1/1) | 0% (4/0) |
| Winning Player | Losing Player | Score | |||
|---|---|---|---|---|---|
| 6-0 6-4 |
Stats 
Karolina Pliskova
Player
Monica Puig
66%
(
27 of
41)
1st Serve %
59%
(
33 of
56)
9
Aces
1
0
Double Faults
3
74%
(
20 of
27)
1st Serve Won
55%
(
18 of
33)
71%
(
10 of
14)
2nd Serve Won
39%
(
9 of
23)
56%
(
5 of
9)
Break Points Won
100%
(
1 of
1)
27%
(
11 of
41)
Rtn Points Won
52%
(
29 of
56)
59
Total Points Won
38
|
||||
| 1-6 6-4 6-4 |
Stats
Karolina Pliskova
Player
Monica Puig
54%
(
56 of
104)
1st Serve %
57%
(
42 of
74)
6
Aces
2
6
Double Faults
5
68%
(
38 of
56)
1st Serve Won
64%
(
27 of
42)
35%
(
17 of
48)
2nd Serve Won
44%
(
14 of
32)
71%
(
5 of
7)
Break Points Won
50%
(
6 of
12)
47%
(
49 of
104)
Rtn Points Won
45%
(
33 of
74)
88
Total Points Won
90
|
||||
| 6-2 6-2 |
Stats
Karolina Pliskova
Player
Monica Puig
62%
(
26 of
42)
1st Serve %
64%
(
32 of
50)
9
Aces
0
0
Double Faults
3
96%
(
25 of
26)
1st Serve Won
50%
(
16 of
32)
50%
(
8 of
16)
2nd Serve Won
44%
(
8 of
18)
50%
(
4 of
8)
Break Points Won
0%
(
0 of
3)
21%
(
9 of
42)
Rtn Points Won
52%
(
26 of
50)
59
Total Points Won
33
|
||||
| 6-3 6-4 |
Stats
Karolina Pliskova
Player
Monica Puig
58%
(
31 of
53)
1st Serve %
61%
(
40 of
66)
8
Aces
8
2
Double Faults
10
61%
(
19 of
31)
1st Serve Won
68%
(
27 of
40)
77%
(
17 of
22)
2nd Serve Won
31%
(
8 of
26)
40%
(
4 of
10)
Break Points Won
67%
(
2 of
3)
32%
(
17 of
53)
Rtn Points Won
47%
(
31 of
66)
67
Total Points Won
52
|
||||
| 6-3 6-3 |
Stats
Karolina Pliskova
Player
Monica Puig
59%
(
29 of
49)
1st Serve %
57%
(
36 of
63)
2
Aces
1
2
Double Faults
2
76%
(
22 of
29)
1st Serve Won
61%
(
22 of
36)
50%
(
10 of
20)
2nd Serve Won
33%
(
9 of
27)
56%
(
5 of
9)
Break Points Won
100%
(
2 of
2)
35%
(
17 of
49)
Rtn Points Won
51%
(
32 of
63)
64
Total Points Won
48
|
||||
Stats Breakdown Vs All H2H Opponents
| stats | Karolina Pliskova | Monica Puig |
|---|---|---|
| YTD W/L | 61% (17/11) | 0% (0/0) |
| Sets Win/Loss | 58% (42/30) | 0% (0/0) |
| Games Win/Loss | 52% (362/334) | 0% (0/0) |
| Hard Win/Loss | 54% (7/6) | 0% (0/0) |
| Clay Win/Loss | 25% (1/3) | 0% (0/0) |
| Indoor Hard W/L | 100% (5/0) | 0% (0/0) |
| Grass Win/Loss | 67% (4/2) | 0% (0/0) |
| Aces pg | 0.62 | 0 |
| Aces Total | 210 | 0 |
| DFs per game | 0.53 | 0 |
| DFs Total | 181 | 0 |
| Avg Match Time | 1:45:54 | 1st Match |
| Avg Opp Rank | 132.25 | 0 |
| 1st Serve % | 67% (1524/2285) | 0% (0/0) |
| 1st Serve W% | 69% (1051/1524) | 0% (0/0) |
| 2nd Serve W% | 42% (322/761) | 0% (0/0) |
| BPs Won% Total | 44% (105/237) | 0% (0/0) |
| Return Pts W% | 41% (939/2271) | 0% (0/0) |
| Slam W/L | 0% (0/2) | 0% (0/0) |
| Masters W/L | 67% (6/3) | 0% (0/0) |
| Cups W/L | 0% (0/0) | 0% (0/0) |
| Main Tour W/L | 65% (11/6) | 0% (0/0) |
| Tour Finals W/L | 0% (0/0) | 0% (0/0) |
| Challenger W/L | 0% (0/0) | 0% (0/0) |
| Futures W/L | 0% (0/0) | 0% (0/0) |
| Best of 3 Sets W% | 61% (17/28) | 0% (0/0) |
| Best of 5 Sets W% | 0% (0/0) | 0% (0/0) |
| TBs Win% (Total) | 55% (6/11) | 0% (0/0) |
| Deciding Set W% | 50% (8/16) | 0% (0/0) |
| 1st set W, W | 75% (16/12) | 0% (0/0) |
| 1st set W, L | 25% (16/4) | 0% (0/0) |
| 1st set L, W | 42% (12/5) | 0% (0/0) |
Karolina Pliskova Recent Matches Played
Before:
| OPPONENT | Score | H2H | |||
|---|---|---|---|---|---|
| R1 |
Stats
Caroline Dolehide
Player
Karolina Pliskova
78%
(
80 of
103)
1st Serve %
67%
(
58 of
86)
1
Aces
3
2
Double Faults
5
63%
(
50 of
80)
1st Serve Won
71%
(
41 of
58)
39%
(
9 of
23)
2nd Serve Won
43%
(
12 of
28)
50%
(
4 of
8)
Break Points Won
45%
(
5 of
11)
43%
(
44 of
103)
Rtn Points Won
38%
(
33 of
86)
92
Total Points Won
97
|
2-6 6-3 7-6(5) | H2H | ||
| F |
Stats
Katie Boulter
Player
Karolina Pliskova
50%
(
37 of
74)
1st Serve %
66%
(
61 of
92)
8
Aces
3
2
Double Faults
7
70%
(
26 of
37)
1st Serve Won
64%
(
39 of
61)
54%
(
20 of
37)
2nd Serve Won
32%
(
10 of
31)
67%
(
6 of
9)
Break Points Won
75%
(
3 of
4)
38%
(
28 of
74)
Rtn Points Won
47%
(
43 of
92)
89
Total Points Won
77
|
4-6 6-3 6-2 | H2H | ||
| SF |
Stats
Karolina Pliskova
Player
Diane Parry
75%
(
75 of
100)
1st Serve %
54%
(
60 of
112)
4
Aces
11
10
Double Faults
6
71%
(
53 of
75)
1st Serve Won
65%
(
39 of
60)
52%
(
13 of
25)
2nd Serve Won
40%
(
21 of
52)
50%
(
5 of
10)
Break Points Won
40%
(
2 of
5)
34%
(
34 of
100)
Rtn Points Won
46%
(
52 of
112)
118
Total Points Won
94
|
6-7(9) 6-1 6-4 | H2H | ||
| QF |
Stats
Karolina Pliskova
Player
Ons Jabeur
68%
(
88 of
130)
1st Serve %
52%
(
63 of
122)
7
Aces
11
7
Double Faults
4
74%
(
65 of
88)
1st Serve Won
76%
(
48 of
63)
50%
(
21 of
42)
2nd Serve Won
58%
(
34 of
59)
50%
(
2 of
4)
Break Points Won
17%
(
1 of
6)
34%
(
44 of
130)
Rtn Points Won
33%
(
40 of
122)
126
Total Points Won
126
|
7-6(8) 6-7(3) 7-5 | H2H | ||
| R2 |
Stats
Karolina Pliskova
Player
Heather Watson
74%
(
55 of
74)
1st Serve %
62%
(
38 of
61)
13
Aces
1
5
Double Faults
2
62%
(
34 of
55)
1st Serve Won
68%
(
26 of
38)
53%
(
10 of
19)
2nd Serve Won
26%
(
6 of
23)
57%
(
4 of
7)
Break Points Won
25%
(
2 of
8)
41%
(
30 of
74)
Rtn Points Won
48%
(
29 of
61)
73
Total Points Won
62
|
6-4 6-4 | H2H | ||
| R1 |
Stats
Karolina Pliskova
Player
Alycia Parks
69%
(
40 of
58)
1st Serve %
57%
(
33 of
58)
2
Aces
2
7
Double Faults
5
73%
(
29 of
40)
1st Serve Won
58%
(
19 of
33)
44%
(
8 of
18)
2nd Serve Won
44%
(
11 of
25)
40%
(
4 of
10)
Break Points Won
40%
(
2 of
5)
36%
(
21 of
58)
Rtn Points Won
48%
(
28 of
58)
65
Total Points Won
51
|
6-4 6-4 | H2H | ||
| R1 |
Stats
Elina Svitolina
Player
Karolina Pliskova
69%
(
54 of
78)
1st Serve %
62%
(
53 of
85)
3
Aces
3
2
Double Faults
6
59%
(
32 of
54)
1st Serve Won
49%
(
26 of
53)
46%
(
11 of
24)
2nd Serve Won
47%
(
15 of
32)
54%
(
7 of
13)
Break Points Won
50%
(
5 of
10)
45%
(
35 of
78)
Rtn Points Won
52%
(
44 of
85)
87
Total Points Won
76
|
3-6 6-4 6-2 | H2H | ||
| R1 |
Stats
Clara Burel
Player
Karolina Pliskova
50%
(
51 of
102)
1st Serve %
64%
(
43 of
67)
3
Aces
2
13
Double Faults
7
61%
(
31 of
51)
1st Serve Won
53%
(
23 of
43)
49%
(
25 of
51)
2nd Serve Won
54%
(
13 of
24)
56%
(
5 of
9)
Break Points Won
26%
(
5 of
19)
45%
(
46 of
102)
Rtn Points Won
46%
(
31 of
67)
87
Total Points Won
82
|
7-5 0-6 6-1 | H2H | ||
| R2 |
Stats
Sloane Stephens
Player
Karolina Pliskova
71%
(
37 of
52)
1st Serve %
64%
(
34 of
53)
2
Aces
4
1
Double Faults
8
59%
(
22 of
37)
1st Serve Won
47%
(
16 of
34)
67%
(
10 of
15)
2nd Serve Won
32%
(
6 of
19)
46%
(
6 of
13)
Break Points Won
100%
(
3 of
3)
38%
(
20 of
52)
Rtn Points Won
58%
(
31 of
53)
63
Total Points Won
42
|
6-3 6-2 | H2H | ||
| R1 |
Stats
Karolina Pliskova
Player
Polina Kudermetova
64%
(
63 of
99)
1st Serve %
54%
(
56 of
103)
12
Aces
6
8
Double Faults
6
76%
(
48 of
63)
1st Serve Won
68%
(
38 of
56)
42%
(
15 of
36)
2nd Serve Won
55%
(
26 of
47)
50%
(
3 of
6)
Break Points Won
50%
(
3 of
6)
36%
(
36 of
99)
Rtn Points Won
38%
(
39 of
103)
102
Total Points Won
100
|
7-5 1-6 7-5 | H2H | ||
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Monica Puig Recent Matches Played
Before:
| OPPONENT | Score | H2H | |||
|---|---|---|---|---|---|
| R1 |
Stats
Fiona Ferro
Player
Monica Puig
50%
(
11 of
22)
1st Serve %
64%
(
7 of
11)
0
Aces
0
1
Double Faults
3
55%
(
6 of
11)
1st Serve Won
57%
(
4 of
7)
45%
(
5 of
11)
2nd Serve Won
0%
(
0 of
4)
50%
(
1 of
2)
Break Points Won
25%
(
1 of
4)
50%
(
11 of
22)
Rtn Points Won
64%
(
7 of
11)
18
Total Points Won
15
|
2-1 ret. | H2H | ||
| R1 |
Stats
Danielle Rose Collins
Player
Monica Puig
51%
(
25 of
49)
1st Serve %
60%
(
41 of
68)
6
Aces
0
3
Double Faults
5
80%
(
20 of
25)
1st Serve Won
51%
(
21 of
41)
54%
(
13 of
24)
2nd Serve Won
33%
(
9 of
27)
46%
(
6 of
13)
Break Points Won
33%
(
2 of
6)
33%
(
16 of
49)
Rtn Points Won
56%
(
38 of
68)
71
Total Points Won
46
|
7-5 6-0 | H2H | ||
| R1 |
Stats
Sara Errani
Player
Monica Puig
85%
(
35 of
41)
1st Serve %
65%
(
28 of
43)
0
Aces
1
0
Double Faults
5
77%
(
27 of
35)
1st Serve Won
57%
(
16 of
28)
67%
(
4 of
6)
2nd Serve Won
20%
(
3 of
15)
83%
(
5 of
6)
Break Points Won
0%
(
0 of
3)
24%
(
10 of
41)
Rtn Points Won
56%
(
24 of
43)
55
Total Points Won
29
|
6-2 6-1 | H2H | ||
| R1 |
Stats
Margarita Betova
Player
Monica Puig
62%
(
64 of
104)
1st Serve %
64%
(
59 of
92)
7
Aces
2
9
Double Faults
7
66%
(
42 of
64)
1st Serve Won
54%
(
32 of
59)
38%
(
15 of
40)
2nd Serve Won
36%
(
12 of
33)
57%
(
8 of
14)
Break Points Won
57%
(
4 of
7)
45%
(
47 of
104)
Rtn Points Won
52%
(
48 of
92)
105
Total Points Won
91
|
6-3 6-7(0) 6-0 | H2H | ||
| Q1 |
Stats
Katie Volynets
Player
Monica Puig
66%
(
82 of
124)
1st Serve %
62%
(
65 of
105)
3
Aces
0
11
Double Faults
6
59%
(
48 of
82)
1st Serve Won
57%
(
37 of
65)
36%
(
15 of
42)
2nd Serve Won
43%
(
17 of
40)
73%
(
8 of
11)
Break Points Won
41%
(
7 of
17)
49%
(
61 of
124)
Rtn Points Won
49%
(
51 of
105)
114
Total Points Won
115
|
4-6 7-6(4) 6-3 | H2H | ||
| R1 | 1-5 | H2H | |||
| R1 | 3-5 | H2H | |||
| R1 | 7-5 6-2 | H2H | |||
| R1 | 6-1 6-3 | H2H | |||
| QF |
Stats
Julia Goerges
Player
Monica Puig
59%
(
39 of
66)
1st Serve %
50%
(
40 of
80)
10
Aces
4
2
Double Faults
8
77%
(
30 of
39)
1st Serve Won
75%
(
30 of
40)
59%
(
16 of
27)
2nd Serve Won
50%
(
20 of
40)
25%
(
3 of
12)
Break Points Won
100%
(
2 of
2)
30%
(
20 of
66)
Rtn Points Won
38%
(
30 of
80)
76
Total Points Won
70
|
1-6 6-2 6-3 | H2H | ||
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Pliskova Vs Puig Prediction H2H Images To Share
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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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