Prediction of Leopold Zima [895th] vs Filippo Romano [691st] Head-to-Head At The 1970
By Wojtek Kolan

Form
L L L L W L L W L L
Form
L W W L W W W L L LHead-2-Head: Zima 1 - 1 Romano
They have played 5 sets in total, with Zima winning 2 and Romano winning 3. The last match between Zima and Romano was at the M25 Sion, 28-08-2024, First, Clay with Leopold Zima getting the victory 7-6(2) 5-7 6-3.
Players | Head-To-Head Match Wins |
---|---|
Leopold Zima | 1 |
Filippo Romano | 1 |
Zima | Stats | Romano |
---|---|---|
0% (0-0) | YTD Win/Loss | 60% (12-8) |
1 | Head-to-Head | 1 |
895 | Ranking | 691 |
774 | Highest Rank | 691 |
24 | Age | 19 |
R | Plays | - |
0 | Titles | 1 |
54% (161-137) | Career Total W/L | 44% (45-57) |
$0 | Career Prize Money | $0 |
0 | YTD Titles | 1 |
0 | Hard H2H | 0 |
1 | Clay H2H | 1 |
0 | Indoor H2H | 0 |
0 | Grass H2H | 0 |
Recent Performance Stats (Last 6 Months)
Winning Player | Losing Player | Score | |||
---|---|---|---|---|---|
7-6(2) 5-7 6-3 |
![]() ![]()
Leopold Zima
Player
Filippo Romano
58%
(
59 of
102)
1st Serve %
71%
(
67 of
95)
6
Aces
8
9
Double Faults
3
69%
(
41 of
59)
1st Serve Won
72%
(
48 of
67)
49%
(
21 of
43)
2nd Serve Won
43%
(
12 of
28)
33%
(
4 of
12)
Break Points Won
36%
(
4 of
11)
39%
(
40 of
102)
Rtn Points Won
37%
(
35 of
95)
97
Total Points Won
100
|
||||
6-0 2-0 ret. |
![]() ![]()
Filippo Romano
Player
Leopold Zima
59%
(
16 of
27)
1st Serve %
72%
(
23 of
32)
-
Aces
-
1
Double Faults
1
75%
(
12 of
16)
1st Serve Won
43%
(
10 of
23)
73%
(
8 of
11)
2nd Serve Won
22%
(
2 of
9)
44%
(
4 of
9)
Break Points Won
0%
(
0 of
3)
26%
(
7 of
27)
Rtn Points Won
63%
(
20 of
32)
40
Total Points Won
19
|
Stats | ||
---|---|---|
1 | H2H Matches | 1 |
2 | Sets Won | 3 |
18 | Games Won | 24 |
6 | Aces (Total) | 8 |
10 | Total Double Faults | 4 |
1:38:30 | Average Match Time | 1:38:30 |
61% (82/134) | 1st Serve % | 68% (83/122) |
62% (51/82) | 1st Serve Win % | 72% (60/83) |
44% (23/52) | 2nd Serve Win % | 51% (20/39) |
27% (4/15) | Break Points Won % (Total) | 40% (8/20) |
34% (42/122) | Return Points Win % | 45% (60/134) |
50% (1/2) | Best of 3 Sets Win % | 50% (1/2) |
0% (0/0) | Best of 5 Sets Win % | 0% (0/0) |
100% (1/1) | Tiebreaks Win % (Total) | 0% (0/1) |
100% (1/1) | Deciding Set Win % | 0% (0/1) |
100% (1/1) | 1st Set Won, Won Match | 100% (1/1) |
0% (1/0) | 1st Set Won, Lost Match | 0% (1/0) |
0% (1/0) | 1st Set Lost, Won Match | 0% (1/0) |
Currently displayed stats includes matches of all levels. To exclude lower level events (as per ATP / WTA official stats) toggle button in page footer.
Leopold Zima vs Filippo Romano Important H2H Prediction Stats:
Head-to-head: Zima 1 - 1 Romano
- Second serve performance recent form: In recent form (last 6 months), Zima has won 0% of points on their second serve, while Romano has won 46.92%. There is a high correlation between this stat and match prediction accuracy.
- Return game stats recent form: Return stats show Zima, in recent form, has won 0% of their opponent's second serve points, while Romano has won 43.11%. The same stats for first serve returns are 0% and 28.21% respectively and this has a high correlation to pick who is favored in this H2H matchup.
- Under pressure analysis: Zima has saved 0% of breakpoints in recent form, whereas Romano has saved 55.71% which is a useful statistic for in-game betting predictions.
- Performance overview: Over the last year Zima has won 33.33% of matches played (W/L 6/ 12), with Romano winning 45.45% (W/L 25/ 30) that gives us an overall head-to head prediction overview.
- Best surface: Zima has their best career surface win % on Hard, winning 60% (W/L 53/ 35), and worse career win % on Clay, winning 49% (W/L 64/ 67). Romano has their best career surface win % on Clay, winning 43% (W/L 23/ 31), and worse career win % on Hard, winning 36% (W/L 5/ 9).
- Player level: In the last year, Zima has played most of their matches on the Futures/Satellites/ITF tournaments $10K, winning 35.29% of matches (W/L 6/ 11), where as Romano has played most of their matches on the Futures/Satellites/ITF tournaments $10K, winning 48.48% of matches (W/L 16/ 17). 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 Zima winning 1 times and Romano being victorious 1 times. They have played 5 sets in total, with Zima winning 2 and Romano winning 3. The last match between Zima and Romano was at the M25 Sion, 28-08-2024, First, Clay with Leopold Zima getting the victory 7-6(2) 5-7 6-3.
- Head to head match duration: In past head to head matches, the average match time between these players has been 1:38:30.
- Deciding set H2H prediction: Zima and Romano have played a deciding set 1 times, with Zima winning 1 times and Romano 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 Zima winning 1, and Romano 0.
- Opponent quality stats: Over the last 12 months, Zima has played against opponents with an average rank of 119.89 while Romano has played against players with an average rank of 190.67.
- Deciding set performance vs all players: If you are interested in live predictions and betting, if this match goes into a deciding set, Zima has won 67% of deciding sets over the last 12 months, while Romano has won 18% in all matches played on tour.
- Current event H2H stats: Past player performance is very useful in predicting tennis matches, but once an event is under way we should also look at current event stats for in form player indication, so check the section below (if they have played a match in the current event). Some players also perform better at certain events and this should be taken into account when picking the outcome.
- Break point conversion: In recent form, Zima has converted 0% of breakpoint opportunities, and Romano has converted 30.77% 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)
Leopold Zima vs Filippo Romano Best Odds For The Match
Leopold Zima Recent Matches Played
Before:
OPPONENT | Score | H2H | |||
---|---|---|---|---|---|
R1 |
![]() ![]()
Jiri Barnat
Player
Leopold Zima
63%
(
33 of
52)
1st Serve %
61%
(
35 of
57)
-
Aces
-
1
Double Faults
0
73%
(
24 of
33)
1st Serve Won
66%
(
23 of
35)
63%
(
12 of
19)
2nd Serve Won
27%
(
6 of
22)
50%
(
4 of
8)
Break Points Won
50%
(
1 of
2)
31%
(
16 of
52)
Rtn Points Won
49%
(
28 of
57)
64
Total Points Won
45
|
6-2 6-4 | H2H | ||
R2 |
![]() ![]()
Lucas Gerch
Player
Leopold Zima
60%
(
50 of
84)
1st Serve %
72%
(
68 of
95)
8
Aces
1
1
Double Faults
3
82%
(
41 of
50)
1st Serve Won
75%
(
51 of
68)
65%
(
22 of
34)
2nd Serve Won
37%
(
10 of
27)
44%
(
4 of
9)
Break Points Won
50%
(
1 of
2)
25%
(
21 of
84)
Rtn Points Won
36%
(
34 of
95)
97
Total Points Won
82
|
6-7(5) 6-3 6-3 | H2H | ||
R1 |
![]() ![]()
Leopold Zima
Player
Filippo Romano
58%
(
59 of
102)
1st Serve %
71%
(
67 of
95)
6
Aces
8
9
Double Faults
3
69%
(
41 of
59)
1st Serve Won
72%
(
48 of
67)
49%
(
21 of
43)
2nd Serve Won
43%
(
12 of
28)
33%
(
4 of
12)
Break Points Won
36%
(
4 of
11)
39%
(
40 of
102)
Rtn Points Won
37%
(
35 of
95)
97
Total Points Won
100
|
7-6(2) 5-7 6-3 | H2H | ||
R1 |
![]() ![]()
Dimitris Sakellaridis
Player
Leopold Zima
67%
(
36 of
54)
1st Serve %
71%
(
39 of
55)
0
Aces
3
3
Double Faults
3
75%
(
27 of
36)
1st Serve Won
62%
(
24 of
39)
67%
(
12 of
18)
2nd Serve Won
44%
(
7 of
16)
75%
(
3 of
4)
Break Points Won
50%
(
1 of
2)
28%
(
15 of
54)
Rtn Points Won
44%
(
24 of
55)
63
Total Points Won
46
|
6-4 6-3 | H2H | ||
R2 |
![]() ![]()
Sebastian Prechtel
Player
Leopold Zima
58%
(
52 of
89)
1st Serve %
53%
(
61 of
116)
1
Aces
8
0
Double Faults
11
69%
(
36 of
52)
1st Serve Won
69%
(
42 of
61)
54%
(
20 of
37)
2nd Serve Won
38%
(
21 of
55)
36%
(
5 of
14)
Break Points Won
27%
(
3 of
11)
37%
(
33 of
89)
Rtn Points Won
46%
(
53 of
116)
109
Total Points Won
96
|
3-6 7-5 6-2 | H2H | ||
R1 |
![]() ![]()
Leopold Zima
Player
Niklas Schell
68%
(
73 of
108)
1st Serve %
62%
(
50 of
81)
4
Aces
4
3
Double Faults
3
71%
(
52 of
73)
1st Serve Won
86%
(
43 of
50)
57%
(
20 of
35)
2nd Serve Won
48%
(
15 of
31)
40%
(
2 of
5)
Break Points Won
22%
(
2 of
9)
33%
(
36 of
108)
Rtn Points Won
28%
(
23 of
81)
95
Total Points Won
94
|
4-6 6-3 7-6(5) | H2H | ||
R1 |
![]() ![]()
Timofey Stepanov
Player
Leopold Zima
60%
(
38 of
63)
1st Serve %
71%
(
48 of
68)
2
Aces
6
2
Double Faults
1
74%
(
28 of
38)
1st Serve Won
65%
(
31 of
48)
56%
(
14 of
25)
2nd Serve Won
35%
(
7 of
20)
33%
(
4 of
12)
Break Points Won
33%
(
1 of
3)
33%
(
21 of
63)
Rtn Points Won
44%
(
30 of
68)
72
Total Points Won
59
|
7-5 6-2 | H2H | ||
Q1 | 6-4 6-4 | H2H | |||
R1 |
![]() ![]()
Gauthier Onclin
Player
Leopold Zima
57%
(
30 of
53)
1st Serve %
62%
(
29 of
47)
1
Aces
2
0
Double Faults
1
73%
(
22 of
30)
1st Serve Won
55%
(
16 of
29)
70%
(
16 of
23)
2nd Serve Won
33%
(
6 of
18)
80%
(
4 of
5)
Break Points Won
0%
(
0 of
3)
28%
(
15 of
53)
Rtn Points Won
53%
(
25 of
47)
63
Total Points Won
37
|
6-1 6-3 | H2H | ||
QF | 7-5 4-0 ret. | H2H |
view more
Filippo Romano Recent Matches Played
Before:
OPPONENT | Score | H2H | |||
---|---|---|---|---|---|
Q1 |
![]() ![]()
Enrico Dalla Valle
Player
Filippo Romano
78%
(
65 of
83)
1st Serve %
51%
(
48 of
95)
1
Aces
0
3
Double Faults
2
63%
(
41 of
65)
1st Serve Won
60%
(
29 of
48)
56%
(
10 of
18)
2nd Serve Won
47%
(
22 of
47)
25%
(
3 of
12)
Break Points Won
33%
(
3 of
9)
39%
(
32 of
83)
Rtn Points Won
46%
(
44 of
95)
95
Total Points Won
83
|
7-6(4) 7-6(2) | H2H | ||
Q1 |
![]() ![]()
Jelle Sels
Player
Filippo Romano
50%
(
25 of
50)
1st Serve %
61%
(
31 of
51)
0
Aces
0
1
Double Faults
0
72%
(
18 of
25)
1st Serve Won
45%
(
14 of
31)
56%
(
14 of
25)
2nd Serve Won
55%
(
11 of
20)
83%
(
5 of
6)
Break Points Won
100%
(
1 of
1)
36%
(
18 of
50)
Rtn Points Won
51%
(
26 of
51)
58
Total Points Won
43
|
6-4 6-1 | H2H | ||
SF |
![]() ![]()
Liam Broady
Player
Filippo Romano
63%
(
40 of
64)
1st Serve %
57%
(
32 of
56)
0
Aces
6
2
Double Faults
3
60%
(
24 of
40)
1st Serve Won
78%
(
25 of
32)
54%
(
13 of
24)
2nd Serve Won
33%
(
8 of
24)
67%
(
4 of
6)
Break Points Won
50%
(
2 of
4)
42%
(
27 of
64)
Rtn Points Won
41%
(
23 of
56)
60
Total Points Won
60
|
6-4 7-5 | H2H | ||
QF |
![]() ![]()
Filippo Romano
Player
Lilian Marmousez
72%
(
58 of
81)
1st Serve %
47%
(
34 of
72)
5
Aces
0
0
Double Faults
3
67%
(
39 of
58)
1st Serve Won
56%
(
19 of
34)
52%
(
12 of
23)
2nd Serve Won
61%
(
23 of
38)
25%
(
2 of
8)
Break Points Won
18%
(
2 of
11)
37%
(
30 of
81)
Rtn Points Won
42%
(
30 of
72)
81
Total Points Won
72
|
3-6 6-4 3-1 ret. | H2H | ||
R2 |
![]() ![]()
Filippo Romano
Player
Andrea De Marchi
65%
(
22 of
34)
1st Serve %
69%
(
24 of
35)
2
Aces
0
2
Double Faults
2
77%
(
17 of
22)
1st Serve Won
50%
(
12 of
24)
58%
(
7 of
12)
2nd Serve Won
36%
(
4 of
11)
38%
(
3 of
8)
Break Points Won
0%
(
0 of
0)
29%
(
10 of
34)
Rtn Points Won
54%
(
19 of
35)
43
Total Points Won
26
|
6-1 2-1 ret. | H2H | ||
R1 |
![]() ![]()
Filippo Romano
Player
Lorenzo Angelini
69%
(
52 of
75)
1st Serve %
68%
(
52 of
76)
6
Aces
0
2
Double Faults
3
67%
(
35 of
52)
1st Serve Won
50%
(
26 of
52)
52%
(
12 of
23)
2nd Serve Won
67%
(
16 of
24)
30%
(
3 of
10)
Break Points Won
29%
(
2 of
7)
37%
(
28 of
75)
Rtn Points Won
45%
(
34 of
76)
81
Total Points Won
70
|
7-6(2) 6-3 | H2H | ||
QF |
![]() ![]()
Andrej Nedic
Player
Filippo Romano
65%
(
56 of
86)
1st Serve %
55%
(
47 of
86)
1
Aces
1
3
Double Faults
4
61%
(
34 of
56)
1st Serve Won
62%
(
29 of
47)
50%
(
15 of
30)
2nd Serve Won
41%
(
16 of
39)
36%
(
5 of
14)
Break Points Won
44%
(
4 of
9)
43%
(
37 of
86)
Rtn Points Won
48%
(
41 of
86)
90
Total Points Won
82
|
7-6(3) 6-4 | H2H | ||
R2 |
![]() ![]()
Filippo Romano
Player
Justin Schlageter
77%
(
34 of
44)
1st Serve %
47%
(
22 of
47)
2
Aces
0
0
Double Faults
4
68%
(
23 of
34)
1st Serve Won
68%
(
15 of
22)
60%
(
6 of
10)
2nd Serve Won
36%
(
9 of
25)
50%
(
3 of
6)
Break Points Won
20%
(
1 of
5)
34%
(
15 of
44)
Rtn Points Won
49%
(
23 of
47)
52
Total Points Won
39
|
6-2 6-2 | H2H | ||
R1 |
![]() ![]()
Filippo Romano
Player
Ante Petar Ercegovic
61%
(
17 of
28)
1st Serve %
52%
(
17 of
33)
2
Aces
0
0
Double Faults
4
88%
(
15 of
17)
1st Serve Won
35%
(
6 of
17)
82%
(
9 of
11)
2nd Serve Won
13%
(
2 of
16)
86%
(
6 of
7)
Break Points Won
0%
(
0 of
0)
14%
(
4 of
28)
Rtn Points Won
76%
(
25 of
33)
49
Total Points Won
12
|
6-0 6-0 | H2H | ||
QF |
![]() ![]()
Marko Topo
Player
Filippo Romano
50%
(
39 of
78)
1st Serve %
59%
(
41 of
69)
2
Aces
0
5
Double Faults
1
72%
(
28 of
39)
1st Serve Won
66%
(
27 of
41)
67%
(
26 of
39)
2nd Serve Won
57%
(
16 of
28)
33%
(
2 of
6)
Break Points Won
20%
(
1 of
5)
31%
(
24 of
78)
Rtn Points Won
38%
(
26 of
69)
80
Total Points Won
67
|
7-6(7) 6-3 | H2H |
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Where To Watch Zima vs Romano?
When the match starts we will have live scores and stats on this page. For live streaming at TV channels of this match, see our ATP and WTA worldwide viewing pages. Free trial live streaming of Zima Vs Romano is now available here.

Stats Breakdown Vs All H2H Opponents
Stats | ||
---|---|---|
54% (161/137) | Win/Loss | 44% (45/57) |
54% (364/308) | Sets Win/Loss | 48% (111/121) |
51% (3308/3140) | Games Win/Loss | 49% (1087/1121) |
0.31 | Aces Per Game | 0.45 |
963 | Aces Total | 494 |
0.16 | Double Faults Per Game | 0.28 |
516 | Total Double Faults | 301 |
1st Match | Average Match Time | 1:30:42 |
169.18 | Average Opponent Rank | 161.31 |
63% (7490/11907) | 1st Serve % | 57% (3706/6519) |
70% (5243/7490) | 1st Serve Win % | 70% (2596/3706) |
45% (2004/4417) | 2nd Serve Win % | 48% (1350/2813) |
41% (429/1045) | Break Points Won % (Total) | 39% (243/621) |
37% (4405/11801) | Return Points Win % | 38% (2475/6431) |
54% (161/297) | Best of 3 Sets Win % | 44% (44/101) |
0% (0/0) | Best of 5 Sets Win % | 100% (1/1) |
52% (35/67) | Tiebreaks Win % (Total) | 41% (13/32) |
45% (35/77) | Deciding Set Win % | 22% (6/27) |
89% (159/141) | 1st Set Won, Won Match | 82% (49/40) |
11% (159/18) | 1st Set Won, Lost Match | 18% (49/9) |
14% (139/20) | 1st Set Lost, Won Match | 9% (53/5) |
Other Predictions
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