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Vasek Pospisil vs Daniel Brands 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 Pospisil vs Brands analysis and find out who is favored!
Vasek Pospisil vs Daniel Brands Important H2H Prediction Stats:
- Second serve performance recent form: In recent form (last 6 months), Pospisil has won 45.42% of points on his second serve, while Brands has won 0%. There is a high correlation between this stat and match prediction accuracy.
- Return game stats recent form: Return stats show Pospisil, in recent form, has won 47.27% of his opponent's second serve points, while Brands has won 0%. The same stats for first serve returns are 28.35% and 0% respectively and this has a high correlation to pick who is favored in this H2H matchup.
- Under pressure analysis: Pospisil has saved 69.75% of breakpoints in recent form, whereas Brands has saved 0% which is a useful statistic for in-game betting predictions.
- Performance overview: Over the last year Pospisil has won 40.74% of matches played (W/L 11/ 16), with Brands winning 0% (W/L 0/ 0) that gives us an overall head-to head prediction overview.
- Best surface: Pospisil has their best career surface win % on I.hard, winning 65% (W/L 171/ 91), and worse career win % on Clay, winning 43% (W/L 39/ 52). Brands has their best career surface win % on I.hard, winning 57% (W/L 112/ 85), and worse career win % on Clay, winning 54% (W/L 165/ 141).
- Player level: In the last year, Pospisil has played most of their matches on the Challengers/ITF tournaments > $10K, winning 40% of matches (W/L 8/ 12), where as Brands 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 2 times before with Pospisil winning 2 times. They have played 5 sets in total, with Pospisil winning 4 and Brands winning 1. The last match between Pospisil and Brands was at the Valencia Open - Valencia, 30-10-2015, Quarterfinals, I.hard with Vasek Pospisil getting the victory .
- Head to head match duration: In past head to head matches, the average match time between these players has been 1:47:38.
- Deciding set H2H prediction: Pospisil and Brands have played a deciding set 1 times, with Pospisil winning 1 times and Brands 0 times. Very useful for predicting the outcome if this match goes the distance.
- Head-to-Head extreme pressure situations: They have played 2 tiebreaks against each other with Pospisil winning 1, and Brands 1.
- Opponent quality stats: Over the last 12 months, Pospisil has played against opponents with an average rank of 295.78 while Brands 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, Pospisil has won 46% of deciding sets over the last 12 months, while Brands has won 0% in all matches played on tour.
- Break point conversion: In recent form, Pospisil has converted 41.76% of breakpoint opportunities, and Brands 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.
Head-to-head: Pospisil 2 - 0 Brands
623
Rank
25
High
33
Age
R
Plays
2
Total0
0
Hard0
0
Clay0
2
Indoor0
0
Grass0
Ret.
Rank
51
High
36
Age
R
Plays
W
W
L
L
W
L
L
W
W
L
Form
L
L
L
W
L
W
L
W
W
L
57% (514-382)
Career Total W/L
56% (482-380)
47% (7-8)
YTD W/L
0% (0-0)
$3,142,652
Career Prize Money
$765,635
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 | Vasek Pospisil | Daniel Brands |
|---|---|---|
| All H2H Matches | 2 | 0 |
| Sets Won | 4 | 1 |
| Games Won | 31 | 22 |
| Aces (Total) | 29 | 1 |
| DFs (Total) | 12 | 8 |
| Avg Match Time | 1:47:38 | 1:47:38 |
| 1st Serve % | 56% (99/177) | 66% (104/158) |
| 1st Serve Win% | 84% (83/99) | 72% (75/104) |
| 2nd Serve Win% | 51% (40/78) | 48% (26/54) |
| BPs Won% (Total) | 43% (6/14) | 17% (2/12) |
| Return Points W% | 36% (57/158) | 31% (54/177) |
| Best of 3 Sets W% | 100% (2/2) | 0% (0/2) |
| Best of 5 Sets W% | 0% (0/0) | 0% (0/0) |
| TBs Win% (Total) | 50% (1/2) | 50% (1/2) |
| Deciding Set Win% | 100% (1/1) | 0% (0/1) |
| 1st set W, W | 100% (2/2) | 0% (0/0) |
| 1st set W, L | 0% (2/0) | 0% (0/0) |
| 1st set L, W | 0% (0/0) | 0% (2/0) |
| Winning Player | Losing Player | Score | |||
|---|---|---|---|---|---|
| 6-3 6-3 |
Stats 
Vasek Pospisil
Player
Daniel Brands
58%
(
31 of
53)
1st Serve %
56%
(
31 of
55)
2
Aces
0
2
Double Faults
5
87%
(
27 of
31)
1st Serve Won
65%
(
20 of
31)
59%
(
13 of
22)
2nd Serve Won
54%
(
13 of
24)
38%
(
3 of
8)
Break Points Won
0%
(
0 of
4)
25%
(
13 of
53)
Rtn Points Won
40%
(
22 of
55)
62
Total Points Won
46
|
||||
| 6-3 6-7(3) 7-6(2) |
Stats
Vasek Pospisil
Player
Daniel Brands
55%
(
68 of
124)
1st Serve %
71%
(
73 of
103)
27
Aces
1
10
Double Faults
3
82%
(
56 of
68)
1st Serve Won
75%
(
55 of
73)
48%
(
27 of
56)
2nd Serve Won
43%
(
13 of
30)
50%
(
3 of
6)
Break Points Won
25%
(
2 of
8)
33%
(
41 of
124)
Rtn Points Won
34%
(
35 of
103)
118
Total Points Won
109
|
||||
Stats Breakdown Vs All H2H Opponents
| stats | Vasek Pospisil | Daniel Brands |
|---|---|---|
| YTD W/L | 47% (7/8) | 0% (0/0) |
| Sets Win/Loss | 47% (17/19) | 0% (0/0) |
| Games Win/Loss | 50% (177/175) | 0% (0/0) |
| Hard Win/Loss | 45% (5/6) | 0% (0/0) |
| Clay Win/Loss | 33% (1/2) | 0% (0/0) |
| Indoor Hard W/L | 100% (1/0) | 0% (0/0) |
| Grass Win/Loss | 0% (0/0) | 0% (0/0) |
| Aces pg | 0.66 | 0 |
| Aces Total | 114 | 0 |
| DFs per game | 0.54 | 0 |
| DFs Total | 93 | 0 |
| Avg Match Time | 1:55:3 | 1st Match |
| Avg Opp Rank | 364 | 0 |
| 1st Serve % | 53% (610/1145) | 0% (0/0) |
| 1st Serve W% | 77% (472/610) | 0% (0/0) |
| 2nd Serve W% | 45% (243/535) | 0% (0/0) |
| BPs Won% Total | 42% (38/91) | 0% (0/0) |
| Return Pts W% | 36% (383/1070) | 0% (0/0) |
| Slam W/L | 0% (0/0) | 0% (0/0) |
| Masters W/L | 0% (0/0) | 0% (0/0) |
| Cups W/L | 100% (1/0) | 0% (0/0) |
| Main Tour W/L | 0% (0/1) | 0% (0/0) |
| Tour Finals W/L | 0% (0/0) | 0% (0/0) |
| Challenger W/L | 46% (6/7) | 0% (0/0) |
| Futures W/L | 0% (0/0) | 0% (0/0) |
| Best of 3 Sets W% | 47% (7/15) | 0% (0/0) |
| Best of 5 Sets W% | 0% (0/0) | 0% (0/0) |
| TBs Win% (Total) | 33% (2/6) | 0% (0/0) |
| Deciding Set W% | 50% (3/6) | 0% (0/0) |
| 1st set W, W | 83% (6/5) | 0% (0/0) |
| 1st set W, L | 17% (6/1) | 0% (0/0) |
| 1st set L, W | 22% (9/2) | 0% (0/0) |
Vasek Pospisil Recent Matches Played
Before:
| opponent | Score | H2H | |||
|---|---|---|---|---|---|
| QF |
Stats
Nicolas Mejia
Player
Vasek Pospisil
60%
(
35 of
58)
1st Serve %
55%
(
40 of
73)
5
Aces
10
2
Double Faults
4
83%
(
29 of
35)
1st Serve Won
78%
(
31 of
40)
52%
(
12 of
23)
2nd Serve Won
36%
(
12 of
33)
20%
(
3 of
15)
Break Points Won
25%
(
1 of
4)
29%
(
17 of
58)
Rtn Points Won
41%
(
30 of
73)
71
Total Points Won
60
|
6-4 6-4 | H2H | ||
| R2 |
Stats
Vasek Pospisil
Player
Tristan Schoolkate
49%
(
42 of
86)
1st Serve %
58%
(
48 of
83)
9
Aces
9
7
Double Faults
3
79%
(
33 of
42)
1st Serve Won
71%
(
34 of
48)
61%
(
27 of
44)
2nd Serve Won
54%
(
19 of
35)
57%
(
4 of
7)
Break Points Won
20%
(
1 of
5)
30%
(
26 of
86)
Rtn Points Won
36%
(
30 of
83)
90
Total Points Won
79
|
6-7(1) 6-4 6-2 | H2H | ||
| R1 |
Stats
Vasek Pospisil
Player
Gijs Brouwer
63%
(
34 of
54)
1st Serve %
68%
(
32 of
47)
6
Aces
1
5
Double Faults
1
85%
(
29 of
34)
1st Serve Won
56%
(
18 of
32)
40%
(
8 of
20)
2nd Serve Won
20%
(
3 of
15)
50%
(
4 of
8)
Break Points Won
0%
(
0 of
4)
31%
(
17 of
54)
Rtn Points Won
55%
(
26 of
47)
63
Total Points Won
38
|
6-1 6-2 | H2H | ||
| R1 |
Stats
Alessandro Giannessi
Player
Vasek Pospisil
68%
(
63 of
92)
1st Serve %
48%
(
38 of
80)
6
Aces
9
8
Double Faults
7
81%
(
51 of
63)
1st Serve Won
82%
(
31 of
38)
45%
(
13 of
29)
2nd Serve Won
57%
(
24 of
42)
33%
(
2 of
6)
Break Points Won
8%
(
1 of
12)
30%
(
28 of
92)
Rtn Points Won
31%
(
25 of
80)
89
Total Points Won
83
|
6-3 3-6 6-4 | 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
Vasek Pospisil
Player
Omar Jasika
41%
(
26 of
63)
1st Serve %
57%
(
27 of
47)
10
Aces
0
11
Double Faults
4
92%
(
24 of
26)
1st Serve Won
74%
(
20 of
27)
43%
(
16 of
37)
2nd Serve Won
35%
(
7 of
20)
80%
(
4 of
5)
Break Points Won
20%
(
1 of
5)
37%
(
23 of
63)
Rtn Points Won
43%
(
20 of
47)
60
Total Points Won
50
|
6-4 6-2 | H2H | ||
| Q1 |
Stats
Richard Gasquet
Player
Vasek Pospisil
58%
(
35 of
60)
1st Serve %
53%
(
32 of
60)
3
Aces
11
1
Double Faults
2
77%
(
27 of
35)
1st Serve Won
78%
(
25 of
32)
80%
(
20 of
25)
2nd Serve Won
54%
(
15 of
28)
40%
(
2 of
5)
Break Points Won
50%
(
1 of
2)
22%
(
13 of
60)
Rtn Points Won
33%
(
20 of
60)
67
Total Points Won
53
|
7-6(4) 6-3 | H2H | ||
| R1 |
Stats
Valentin Vacherot
Player
Vasek Pospisil
68%
(
36 of
53)
1st Serve %
52%
(
29 of
56)
9
Aces
3
3
Double Faults
1
86%
(
31 of
36)
1st Serve Won
66%
(
19 of
29)
76%
(
13 of
17)
2nd Serve Won
67%
(
18 of
27)
33%
(
2 of
6)
Break Points Won
0%
(
0 of
0)
17%
(
9 of
53)
Rtn Points Won
34%
(
19 of
56)
63
Total Points Won
46
|
6-3 7-5 | H2H | ||
| QF |
Stats
Vasek Pospisil
Player
Kaichi Uchida
54%
(
53 of
99)
1st Serve %
52%
(
64 of
124)
13
Aces
7
9
Double Faults
12
85%
(
45 of
53)
1st Serve Won
75%
(
48 of
64)
50%
(
23 of
46)
2nd Serve Won
48%
(
29 of
60)
33%
(
4 of
12)
Break Points Won
40%
(
2 of
5)
31%
(
31 of
99)
Rtn Points Won
38%
(
47 of
124)
115
Total Points Won
108
|
6-7(4) 7-6(4) 6-2 | H2H | ||
| Q1 |
Stats
Vasek Pospisil
Player
Chun Hsin Tseng
58%
(
25 of
43)
1st Serve %
60%
(
33 of
55)
7
Aces
4
3
Double Faults
6
84%
(
21 of
25)
1st Serve Won
70%
(
23 of
33)
50%
(
9 of
18)
2nd Serve Won
23%
(
5 of
22)
50%
(
5 of
10)
Break Points Won
33%
(
1 of
3)
30%
(
13 of
43)
Rtn Points Won
49%
(
27 of
55)
57
Total Points Won
41
|
6-1 6-4 | H2H | ||
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Daniel Brands Recent Matches Played
Before:
| opponent | Score | H2H | |||
|---|---|---|---|---|---|
| QF |
Stats
Soon-Woo Kwon
Player
Daniel Brands
64%
(
72 of
112)
1st Serve %
64%
(
75 of
118)
18
Aces
7
6
Double Faults
2
81%
(
58 of
72)
1st Serve Won
60%
(
45 of
75)
45%
(
18 of
40)
2nd Serve Won
35%
(
15 of
43)
56%
(
9 of
16)
Break Points Won
25%
(
2 of
8)
32%
(
36 of
112)
Rtn Points Won
49%
(
58 of
118)
134
Total Points Won
96
|
6-2 6-7(6) 6-1 6-0 | H2H | ||
| Q2 |
Stats
Daniel Brands
Player
Blaz Rola
66%
(
93 of
140)
1st Serve %
73%
(
80 of
109)
16
Aces
12
2
Double Faults
1
78%
(
73 of
93)
1st Serve Won
76%
(
61 of
80)
43%
(
20 of
47)
2nd Serve Won
62%
(
18 of
29)
100%
(
2 of
2)
Break Points Won
9%
(
1 of
11)
34%
(
47 of
140)
Rtn Points Won
28%
(
30 of
109)
123
Total Points Won
126
|
6-7(5) 7-6(7) 7-5 | H2H | ||
| Q1 |
Stats
Daniel Brands
Player
Mark Whitehouse
77%
(
40 of
52)
1st Serve %
69%
(
33 of
48)
10
Aces
3
1
Double Faults
2
78%
(
31 of
40)
1st Serve Won
61%
(
20 of
33)
50%
(
6 of
12)
2nd Serve Won
60%
(
9 of
15)
43%
(
3 of
7)
Break Points Won
100%
(
1 of
1)
29%
(
15 of
52)
Rtn Points Won
40%
(
19 of
48)
56
Total Points Won
44
|
6-3 6-4 | H2H | ||
| QF |
Stats
Tommy Paul
Player
Daniel Brands
59%
(
44 of
75)
1st Serve %
62%
(
39 of
63)
4
Aces
2
2
Double Faults
1
77%
(
34 of
44)
1st Serve Won
64%
(
25 of
39)
52%
(
16 of
31)
2nd Serve Won
50%
(
12 of
24)
38%
(
3 of
8)
Break Points Won
20%
(
1 of
5)
33%
(
25 of
75)
Rtn Points Won
41%
(
26 of
63)
76
Total Points Won
62
|
7-5 6-4 | H2H | ||
| Q1 |
Stats
Daniel Brands
Player
Alex Bolt
66%
(
37 of
56)
1st Serve %
62%
(
29 of
47)
5
Aces
4
2
Double Faults
0
76%
(
28 of
37)
1st Serve Won
83%
(
24 of
29)
63%
(
12 of
19)
2nd Serve Won
39%
(
7 of
18)
43%
(
3 of
7)
Break Points Won
0%
(
0 of
9)
29%
(
16 of
56)
Rtn Points Won
34%
(
16 of
47)
56
Total Points Won
47
|
6-4 6-2 | H2H | ||
| R2 |
Stats
Feliciano Lopez
Player
Daniel Brands
69%
(
70 of
101)
1st Serve %
76%
(
67 of
88)
20
Aces
6
3
Double Faults
2
76%
(
53 of
70)
1st Serve Won
79%
(
53 of
67)
55%
(
17 of
31)
2nd Serve Won
29%
(
6 of
21)
40%
(
2 of
5)
Break Points Won
17%
(
1 of
6)
31%
(
31 of
101)
Rtn Points Won
33%
(
29 of
88)
99
Total Points Won
90
|
5-7 6-3 6-4 | H2H | ||
| R1 |
Stats
Daniel Brands
Player
Ryan Peniston
71%
(
49 of
69)
1st Serve %
67%
(
45 of
67)
1
Aces
4
2
Double Faults
0
76%
(
37 of
49)
1st Serve Won
76%
(
34 of
45)
65%
(
13 of
20)
2nd Serve Won
50%
(
11 of
22)
60%
(
3 of
5)
Break Points Won
100%
(
2 of
2)
28%
(
19 of
69)
Rtn Points Won
33%
(
22 of
67)
72
Total Points Won
64
|
6-3 3-6 6-3 | H2H | ||
| Q1 |
Stats
Henri Laaksonen
Player
Daniel Brands
59%
(
26 of
44)
1st Serve %
61%
(
27 of
44)
3
Aces
3
4
Double Faults
5
81%
(
21 of
26)
1st Serve Won
44%
(
12 of
27)
61%
(
11 of
18)
2nd Serve Won
29%
(
5 of
17)
56%
(
5 of
9)
Break Points Won
25%
(
1 of
4)
27%
(
12 of
44)
Rtn Points Won
61%
(
27 of
44)
59
Total Points Won
29
|
6-3 6-0 | H2H | ||
| R1 |
Stats
Dominik Koepfer
Player
Daniel Brands
53%
(
24 of
45)
1st Serve %
58%
(
31 of
53)
3
Aces
0
4
Double Faults
2
71%
(
17 of
24)
1st Serve Won
52%
(
16 of
31)
52%
(
11 of
21)
2nd Serve Won
27%
(
6 of
22)
67%
(
6 of
9)
Break Points Won
100%
(
2 of
2)
38%
(
17 of
45)
Rtn Points Won
58%
(
31 of
53)
59
Total Points Won
39
|
6-3 6-1 | H2H | ||
| Q1 |
Stats
Pablo Cuevas
Player
Daniel Brands
69%
(
42 of
61)
1st Serve %
51%
(
35 of
68)
5
Aces
1
1
Double Faults
3
79%
(
33 of
42)
1st Serve Won
66%
(
23 of
35)
74%
(
14 of
19)
2nd Serve Won
52%
(
17 of
33)
17%
(
2 of
12)
Break Points Won
0%
(
0 of
1)
23%
(
14 of
61)
Rtn Points Won
41%
(
28 of
68)
75
Total Points Won
54
|
6-1 7-6(4) | 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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