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Liam Broady vs Roman Safiullin 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 Broady vs Safiullin analysis and find out who is favored!
Liam Broady vs Roman Safiullin Important H2H Prediction Stats:
- Second serve performance recent form: In recent form (last 6 months), Broady has won 48.45% of points on his second serve, while Safiullin has won 49.56%. There is a high correlation between this stat and match prediction accuracy.
- Return game stats recent form: Return stats show Broady, in recent form, has won 51.95% of his opponent's second serve points, while Safiullin has won 49.09%. The same stats for first serve returns are 30.15% and 27.36% respectively and this has a high correlation to pick who is favored in this H2H matchup.
- Under pressure analysis: Broady has saved 61.22% of breakpoints in recent form, whereas Safiullin has saved 65.16% which is a useful statistic for in-game betting predictions.
- Performance overview: Over the last year Broady has won 54.55% of matches played (W/L 30/ 25), with Safiullin winning 59.32% (W/L 35/ 24) that gives us an overall head-to head prediction overview.
- Best surface: Broady has their best career surface win % on Hard, winning 63% (W/L 249/ 146), and worse career win % on Grass, winning 37% (W/L 32/ 55). Safiullin has their best career surface win % on Hard, winning 71% (W/L 211/ 85), and worse career win % on Clay, winning 59% (W/L 78/ 54).
- Player level: In the last year, Broady has played most of their matches on the Challengers/ITF tournaments > $10K, winning 56.67% of matches (W/L 17/ 13), where as Safiullin has played most of their matches on the Main tour, winning 52% of matches (W/L 13/ 12). 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 Broady winning 1 times. They have played 5 sets in total, with Broady winning 2 and Safiullin winning 3. The last match between Broady and Safiullin was at the Australian Open - Melbourne, 14-01-2022, Q3, Hard with Liam Broady getting the victory .
- Head to head match duration: In past head to head matches, the average match time between these players has been 1:43:30.
- Deciding set H2H prediction: Broady and Safiullin have played a deciding set 1 times, with Broady winning 1 times and Safiullin 0 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 Broady winning 1, and Safiullin 0.
- Opponent quality stats: Over the last 12 months, Broady has played against opponents with an average rank of 286.78 while Safiullin has played against players with an average rank of 107.54.
- Deciding set performance vs all players: If you are interested in live predictions and betting, if this match goes into a deciding set, Broady has won 47% of deciding sets over the last 12 months, while Safiullin has won 41% in all matches played on tour.
- Break point conversion: In recent form, Broady has converted 43.18% of breakpoint opportunities, and Safiullin has converted 32.67% 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: Broady 1 - 1 Safiullin
149
Rank
93
High
30
Age
L
Plays
1
Total1
1
Hard0
0
Clay1
0
Indoor0
0
Grass0
38
Rank
36
High
26
Age
R
Plays
W
W
W
L
L
L
W
L
W
L
Form
L
L
W
L
L
W
L
W
L
L
58% (470-343)
Career Total W/L
66% (373-192)
50% (5-5)
YTD W/L
38% (6-10)
$1,004,050
Career Prize Money
$1,422,410
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 | Liam Broady | Roman Safiullin |
|---|---|---|
| All H2H Matches | 1 | 1 |
| Sets Won | 2 | 3 |
| Games Won | 21 | 26 |
| Aces (Total) | 13 | 5 |
| DFs (Total) | 5 | 6 |
| Avg Match Time | 1:43:30 | 1:43:30 |
| 1st Serve % | 58% (83/143) | 55% (74/134) |
| 1st Serve Win% | 66% (55/83) | 78% (58/74) |
| 2nd Serve Win% | 53% (32/60) | 53% (32/60) |
| BPs Won% (Total) | 44% (4/9) | 41% (7/17) |
| Return Points W% | 33% (44/134) | 39% (56/143) |
| Best of 3 Sets W% | 50% (1/2) | 50% (1/2) |
| Best of 5 Sets W% | 0% (0/0) | 0% (0/0) |
| TBs Win% (Total) | 100% (1/1) | 0% (0/1) |
| Deciding Set Win% | 100% (1/1) | 0% (0/1) |
| 1st set W, W | 0% (0/0) | 50% (2/1) |
| 1st set W, L | 0% (0/0) | 50% (2/1) |
| 1st set L, W | 50% (2/1) | 0% (0/0) |
| Winning Player | Losing Player | Score | |||
|---|---|---|---|---|---|
| 4-6 7-6(2) 6-2 |
Stats 
Liam Broady
Player
Roman Safiullin
56%
(
50 of
90)
1st Serve %
55%
(
51 of
93)
10
Aces
3
2
Double Faults
5
74%
(
37 of
50)
1st Serve Won
73%
(
37 of
51)
58%
(
23 of
40)
2nd Serve Won
48%
(
20 of
42)
50%
(
4 of
8)
Break Points Won
75%
(
3 of
4)
33%
(
30 of
90)
Rtn Points Won
39%
(
36 of
93)
96
Total Points Won
87
|
||||
| 6-1 6-3 |
Stats
Roman Safiullin
Player
Liam Broady
56%
(
23 of
41)
1st Serve %
62%
(
33 of
53)
2
Aces
3
1
Double Faults
3
91%
(
21 of
23)
1st Serve Won
55%
(
18 of
33)
67%
(
12 of
18)
2nd Serve Won
45%
(
9 of
20)
31%
(
4 of
13)
Break Points Won
0%
(
0 of
1)
20%
(
8 of
41)
Rtn Points Won
49%
(
26 of
53)
59
Total Points Won
35
|
||||
Stats Breakdown Vs All H2H Opponents
| stats | Liam Broady | Roman Safiullin |
|---|---|---|
| YTD W/L | 50% (5/5) | 38% (6/10) |
| Sets Win/Loss | 55% (12/10) | 40% (16/24) |
| Games Win/Loss | 52% (101/93) | 48% (187/201) |
| Hard Win/Loss | 50% (5/5) | 42% (5/7) |
| Clay Win/Loss | 0% (0/0) | 33% (1/2) |
| Indoor Hard W/L | 0% (0/0) | 0% (0/1) |
| Grass Win/Loss | 0% (0/0) | 0% (0/0) |
| Aces pg | 0.34 | 0.62 |
| Aces Total | 32 | 117 |
| DFs per game | 0.4 | 0.31 |
| DFs Total | 38 | 58 |
| Avg Match Time | 1:34:24 | 1:55:36 |
| Avg Opp Rank | 207.9 | 101.75 |
| 1st Serve % | 60% (373/619) | 56% (699/1238) |
| 1st Serve W% | 71% (263/373) | 74% (520/699) |
| 2nd Serve W% | 49% (121/246) | 48% (261/539) |
| BPs Won% Total | 41% (27/66) | 32% (36/111) |
| Return Pts W% | 40% (249/626) | 36% (451/1260) |
| Slam W/L | 0% (0/0) | 0% (0/1) |
| Masters W/L | 50% (1/1) | 50% (3/3) |
| Cups W/L | 0% (0/0) | 0% (0/0) |
| Main Tour W/L | 50% (3/3) | 38% (3/5) |
| Tour Finals W/L | 0% (0/0) | 0% (0/0) |
| Challenger W/L | 50% (1/1) | 0% (0/1) |
| Futures W/L | 0% (0/0) | 0% (0/0) |
| Best of 3 Sets W% | 50% (5/10) | 40% (6/15) |
| Best of 5 Sets W% | 0% (0/0) | 0% (0/1) |
| TBs Win% (Total) | 50% (1/2) | 29% (2/7) |
| Deciding Set W% | 0% (0/2) | 50% (3/6) |
| 1st set W, W | 83% (6/5) | 83% (6/5) |
| 1st set W, L | 17% (6/1) | 17% (6/1) |
| 1st set L, W | 0% (4/0) | 10% (10/1) |
Liam Broady Recent Matches Played
Before:
| opponent | Score | H2H | |||
|---|---|---|---|---|---|
| QF |
Stats
Adam Walton
Player
Liam Broady
56%
(
54 of
96)
1st Serve %
61%
(
52 of
85)
7
Aces
5
1
Double Faults
7
76%
(
41 of
54)
1st Serve Won
63%
(
33 of
52)
57%
(
24 of
42)
2nd Serve Won
58%
(
19 of
33)
67%
(
4 of
6)
Break Points Won
17%
(
1 of
6)
32%
(
31 of
96)
Rtn Points Won
39%
(
33 of
85)
98
Total Points Won
83
|
6-7(1) 6-2 6-3 | H2H | ||
| Q1 |
Stats
Liam Broady
Player
Maxwell Mckennon
60%
(
34 of
57)
1st Serve %
51%
(
23 of
45)
8
Aces
1
3
Double Faults
2
88%
(
30 of
34)
1st Serve Won
65%
(
15 of
23)
48%
(
11 of
23)
2nd Serve Won
41%
(
9 of
22)
100%
(
3 of
3)
Break Points Won
0%
(
0 of
4)
28%
(
16 of
57)
Rtn Points Won
47%
(
21 of
45)
62
Total Points Won
40
|
6-3 6-2 | H2H | ||
| QF |
Stats
Thiago Seyboth Wild
Player
Liam Broady
55%
(
21 of
38)
1st Serve %
58%
(
23 of
40)
4
Aces
0
2
Double Faults
2
76%
(
16 of
21)
1st Serve Won
48%
(
11 of
23)
76%
(
13 of
17)
2nd Serve Won
24%
(
4 of
17)
45%
(
5 of
11)
Break Points Won
0%
(
0 of
1)
24%
(
9 of
38)
Rtn Points Won
63%
(
25 of
40)
54
Total Points Won
24
|
6-1 6-1 | H2H | ||
| Q1 |
Stats
Liam Broady
Player
Marc Polmans
43%
(
22 of
51)
1st Serve %
60%
(
36 of
60)
5
Aces
1
5
Double Faults
6
86%
(
19 of
22)
1st Serve Won
64%
(
23 of
36)
41%
(
12 of
29)
2nd Serve Won
25%
(
6 of
24)
40%
(
6 of
15)
Break Points Won
67%
(
2 of
3)
39%
(
20 of
51)
Rtn Points Won
52%
(
31 of
60)
62
Total Points Won
49
|
6-3 6-2 | H2H | ||
| Q1 |
Stats
Constant Lestienne
Player
Liam Broady
49%
(
30 of
61)
1st Serve %
52%
(
33 of
64)
7
Aces
1
2
Double Faults
7
87%
(
26 of
30)
1st Serve Won
73%
(
24 of
33)
52%
(
16 of
31)
2nd Serve Won
48%
(
15 of
31)
30%
(
3 of
10)
Break Points Won
25%
(
1 of
4)
31%
(
19 of
61)
Rtn Points Won
39%
(
25 of
64)
67
Total Points Won
58
|
6-4 6-4 | H2H | ||
| R1 |
Stats
Rinky Hijikata
Player
Liam Broady
56%
(
48 of
85)
1st Serve %
59%
(
50 of
85)
9
Aces
4
5
Double Faults
4
71%
(
34 of
48)
1st Serve Won
52%
(
26 of
50)
49%
(
18 of
37)
2nd Serve Won
57%
(
20 of
35)
24%
(
4 of
17)
Break Points Won
18%
(
2 of
11)
39%
(
33 of
85)
Rtn Points Won
46%
(
39 of
85)
91
Total Points Won
79
|
6-2 1-6 6-1 | H2H | ||
| R2 |
Stats
Andrey Rublev
Player
Liam Broady
55%
(
38 of
69)
1st Serve %
68%
(
62 of
91)
10
Aces
4
3
Double Faults
2
82%
(
31 of
38)
1st Serve Won
69%
(
43 of
62)
58%
(
18 of
31)
2nd Serve Won
34%
(
10 of
29)
30%
(
3 of
10)
Break Points Won
67%
(
2 of
3)
29%
(
20 of
69)
Rtn Points Won
42%
(
38 of
91)
87
Total Points Won
73
|
6-4 7-6(8) | H2H | ||
| R1 |
Stats
Liam Broady
Player
Pedro Cachin
63%
(
29 of
46)
1st Serve %
71%
(
30 of
42)
2
Aces
1
2
Double Faults
1
72%
(
21 of
29)
1st Serve Won
43%
(
13 of
30)
65%
(
11 of
17)
2nd Serve Won
42%
(
5 of
12)
71%
(
5 of
7)
Break Points Won
33%
(
1 of
3)
30%
(
14 of
46)
Rtn Points Won
57%
(
24 of
42)
56
Total Points Won
32
|
6-4 6-0 | H2H | ||
| QF |
Stats
Liam Broady
Player
Roman Andres Burruchaga
64%
(
28 of
44)
1st Serve %
54%
(
39 of
72)
2
Aces
1
3
Double Faults
3
89%
(
25 of
28)
1st Serve Won
56%
(
22 of
39)
75%
(
12 of
16)
2nd Serve Won
48%
(
16 of
33)
43%
(
3 of
7)
Break Points Won
0%
(
0 of
0)
16%
(
7 of
44)
Rtn Points Won
47%
(
34 of
72)
71
Total Points Won
45
|
6-2 6-3 | H2H | ||
| Q1 |
Stats
Liam Broady
Player
Aziz Dougaz
71%
(
40 of
56)
1st Serve %
50%
(
29 of
58)
1
Aces
3
3
Double Faults
3
78%
(
31 of
40)
1st Serve Won
69%
(
20 of
29)
44%
(
7 of
16)
2nd Serve Won
38%
(
11 of
29)
44%
(
4 of
9)
Break Points Won
25%
(
1 of
4)
32%
(
18 of
56)
Rtn Points Won
47%
(
27 of
58)
65
Total Points Won
49
|
6-3 6-3 | H2H | ||
view more
Roman Safiullin Recent Matches Played
Before:
| opponent | Score | H2H | |||
|---|---|---|---|---|---|
| R1 |
Stats
Roberto Bautista Agut
Player
Roman Safiullin
72%
(
48 of
67)
1st Serve %
60%
(
50 of
84)
2
Aces
5
0
Double Faults
1
69%
(
33 of
48)
1st Serve Won
66%
(
33 of
50)
79%
(
15 of
19)
2nd Serve Won
53%
(
18 of
34)
25%
(
2 of
8)
Break Points Won
0%
(
0 of
0)
28%
(
19 of
67)
Rtn Points Won
39%
(
33 of
84)
81
Total Points Won
70
|
6-3 7-6(8) | H2H | ||
| R2 |
Stats
Novak Djokovic
Player
Roman Safiullin
65%
(
22 of
34)
1st Serve %
43%
(
26 of
61)
1
Aces
1
0
Double Faults
2
77%
(
17 of
22)
1st Serve Won
62%
(
16 of
26)
92%
(
11 of
12)
2nd Serve Won
31%
(
11 of
35)
26%
(
5 of
19)
Break Points Won
0%
(
0 of
0)
18%
(
6 of
34)
Rtn Points Won
56%
(
34 of
61)
62
Total Points Won
33
|
6-1 6-2 | H2H | ||
| R1 |
Stats
Roman Safiullin
Player
Jaume Antoni Munar Clar
63%
(
41 of
65)
1st Serve %
70%
(
43 of
61)
2
Aces
1
4
Double Faults
3
76%
(
31 of
41)
1st Serve Won
60%
(
26 of
43)
50%
(
12 of
24)
2nd Serve Won
33%
(
6 of
18)
40%
(
4 of
10)
Break Points Won
17%
(
1 of
6)
34%
(
22 of
65)
Rtn Points Won
48%
(
29 of
61)
72
Total Points Won
54
|
7-5 6-1 | H2H | ||
| R2 |
Stats
Lorenzo Musetti
Player
Roman Safiullin
67%
(
45 of
67)
1st Serve %
58%
(
33 of
57)
5
Aces
3
3
Double Faults
3
78%
(
35 of
45)
1st Serve Won
70%
(
23 of
33)
32%
(
7 of
22)
2nd Serve Won
29%
(
7 of
24)
71%
(
5 of
7)
Break Points Won
33%
(
2 of
6)
37%
(
25 of
67)
Rtn Points Won
47%
(
27 of
57)
69
Total Points Won
55
|
7-5 6-1 | H2H | ||
| R1 |
Stats
Roman Safiullin
Player
Diego Sebastian Schwartzman
58%
(
38 of
65)
1st Serve %
74%
(
46 of
62)
6
Aces
0
1
Double Faults
1
68%
(
26 of
38)
1st Serve Won
59%
(
27 of
46)
52%
(
14 of
27)
2nd Serve Won
19%
(
3 of
16)
71%
(
5 of
7)
Break Points Won
29%
(
2 of
7)
38%
(
25 of
65)
Rtn Points Won
52%
(
32 of
62)
72
Total Points Won
55
|
6-2 6-4 | 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 | ||
| R2 |
Stats
Sebastian Korda
Player
Roman Safiullin
55%
(
33 of
60)
1st Serve %
54%
(
29 of
54)
6
Aces
2
0
Double Faults
3
64%
(
21 of
33)
1st Serve Won
59%
(
17 of
29)
70%
(
19 of
27)
2nd Serve Won
48%
(
12 of
25)
50%
(
4 of
8)
Break Points Won
25%
(
1 of
4)
33%
(
20 of
60)
Rtn Points Won
46%
(
25 of
54)
65
Total Points Won
49
|
6-4 6-2 | H2H | ||
| R1 |
Stats
Roman Safiullin
Player
Daniel Evans
59%
(
46 of
78)
1st Serve %
51%
(
40 of
79)
11
Aces
3
5
Double Faults
8
76%
(
35 of
46)
1st Serve Won
70%
(
28 of
40)
56%
(
18 of
32)
2nd Serve Won
38%
(
15 of
39)
42%
(
5 of
12)
Break Points Won
40%
(
2 of
5)
32%
(
25 of
78)
Rtn Points Won
46%
(
36 of
79)
89
Total Points Won
68
|
6-1 5-7 6-2 | H2H | ||
| R1 |
Stats
Stefanos Tsitsipas
Player
Roman Safiullin
53%
(
30 of
57)
1st Serve %
48%
(
25 of
52)
5
Aces
4
0
Double Faults
0
83%
(
25 of
30)
1st Serve Won
60%
(
15 of
25)
63%
(
17 of
27)
2nd Serve Won
63%
(
17 of
27)
50%
(
2 of
4)
Break Points Won
0%
(
0 of
1)
26%
(
15 of
57)
Rtn Points Won
38%
(
20 of
52)
62
Total Points Won
47
|
6-3 6-4 | H2H | ||
| R1 |
Stats
Daniel Evans
Player
Roman Safiullin
53%
(
31 of
59)
1st Serve %
63%
(
39 of
62)
2
Aces
2
4
Double Faults
5
74%
(
23 of
31)
1st Serve Won
59%
(
23 of
39)
50%
(
14 of
28)
2nd Serve Won
30%
(
7 of
23)
63%
(
5 of
8)
Break Points Won
33%
(
2 of
6)
37%
(
22 of
59)
Rtn Points Won
52%
(
32 of
62)
69
Total Points Won
52
|
6-2 6-4 | H2H | ||
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Broady Vs Safiullin Prediction H2H Images To Share
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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