E. Demanet
To Win
S. Slump
To Win
By Wojtek Kolan
Form
L W W L W W L L W WForm
W W L L L W L W W LThey have played 2 sets in total, with Slump winning 2 and Gil winning 0. The last match between Slump and Gil was at the M15 Villena, 19-02-2025, First, Hard with Stijn Slump getting the victory 6-4 6-0.
Players | Head-To-Head Match Wins |
---|---|
Stijn Slump | 1 |
Alvaro Bueno Gil | 0 |
M15 Villena(19-02-2025)
28 Mar 2025 / Quarterfinals
Miami Open - Miami wta
28 Mar 2025 / Semifinals
Miami Open - Miami atp
27 Mar 2025 / Quarterfinals
Winning Player | Losing Player | Score | |||
---|---|---|---|---|---|
6-4 6-0 |
![]() ![]()
Stijn Slump
Player
Alvaro Bueno Gil
45%
(
18 of
40)
1st Serve %
69%
(
35 of
51)
3
Aces
1
1
Double Faults
1
89%
(
16 of
18)
1st Serve Won
54%
(
19 of
35)
77%
(
17 of
22)
2nd Serve Won
44%
(
7 of
16)
44%
(
4 of
9)
Break Points Won
0%
(
0 of
1)
18%
(
7 of
40)
Rtn Points Won
49%
(
25 of
51)
58
Total Points Won
33
|
Stats | ||
---|---|---|
1 | H2H Matches | 0 |
2 | Sets Won | 0 |
12 | Games Won | 4 |
3 | Aces (Total) | 1 |
1 | Total Double Faults | 1 |
1:3:43 | Average Match Time | 1:3:43 |
45% (18/40) | 1st Serve % | 69% (35/51) |
89% (16/18) | 1st Serve Win % | 54% (19/35) |
77% (17/22) | 2nd Serve Win % | 44% (7/16) |
44% (4/9) | Break Points Won % (Total) | 0% (0/1) |
49% (25/51) | Return Points Win % | 18% (7/40) |
100% (1/1) | Best of 3 Sets Win % | 0% (0/1) |
0% (0/0) | Best of 5 Sets Win % | 0% (0/0) |
0% (0/0) | Tiebreaks Win % (Total) | 0% (0/0) |
0% (0/0) | Deciding Set Win % | 0% (0/0) |
100% (1/1) | 1st Set Won, Won Match | 0% (0/0) |
0% (1/0) | 1st Set Won, Lost Match | 0% (0/0) |
0% (0/0) | 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.
Predictions for the Upcoming Tennis Match:
A thorough analysis of various statistical insights can provide valuable information for predicting the outcome of the forthcoming tennis match.
Recent Form and Second Serve Performance:
In the last six months, the second serve performance of both Slump and Gil has been closely observed. Notably, Slump has demonstrated a 50.08% success rate in winning points on their second serve, whereas Gil has outperformed with a commendable 57.37% record. It is worth emphasizing that a strong correlation exists between this statistical aspect and the accuracy of match predictions.
Evaluation of Return Game Stats:
An examination of return game statistics further contributes to our analysis. Recent records indicate that Slump has effectively won 50.1% of their opponent's second serve points, while Gil has achieved a slightly lower success rate of 48.21%. Moreover, in terms of first serve returns, the figures stand at 33.83% for Slump and 33.14% for Gil. This information carries significant weight when determining the favored player in this head-to-head matchup.
Under Pressure Analysis:
Assessing how each player performs under pressure is a crucial aspect of match predictions. Slump has demonstrated remarkable resilience by saving 52.42% of breakpoints in recent form. However, it is noteworthy that Gil has proven even more skilled in such scenarios, saving a notable 65.71% of breakpoints. This invaluable statistic holds particular significance when making in-game betting predictions.
Performance Overview:
Considering the performances of both players over the past year, Slump has emerged victorious in 64.62% of matches played (W/L ratio: 42/23). In contrast, Gil has achieved a 50.77% success rate (W/L ratio: 33/32). Such data provides us with an overarching head-to-head prediction overview.
Surface Specialization:
An examination of surface specialization reveals interesting insights. Slump has consistently excelled on clay courts, boasting an impressive win rate of 61% (W/L ratio: 94/60), while struggling on indoor hard courts with a 0% success rate (W/L ratio: 0/1). Conversely, Gil's best performances have been observed on clay courts, recording a win rate of 49% (W/L ratio: 35/36), while finding less success on hard courts with a 44% win rate (W/L ratio: 14/18).
Player Level:
Considering the level of play at different events is essential when evaluating player statistics. Slump has primarily competed in Futures/Satellites/ITF tournaments with a $10K prize, showcasing an outstanding win rate of 69.09% (W/L ratio: 38/17). Meanwhile, Gil has primarily participated in the same tournaments, winning 50.77% of matches (W/L ratio: 33/32). Therefore, when comparing these statistics to determine the favorite, it is imperative to consider the relative event level at which they have been competing.
Opponent Quality Stats:
Examining the quality of opposition faced by the players in the past 12 months provides further insights. Slump's opponents have possessed an average ranking of 361.42, while Gil has encountered players with an average ranking of 110.72.
Deciding Set Performance:
For those interested in live predictions and betting, assessing the players' performance in deciding sets becomes crucial. Over the past year, Slump has triumphed in 68% of deciding sets, while Gil has displayed a 61% winning rate across all matches played on the tour.
Current Event Head-to-Head Stats:
While previous player performance is undoubtedly beneficial in predicting tennis matches, it is also vital to consider current event statistics, particularly when assessing the form of players. For further insight, refer to the section below (if they have participated in the ongoing event). Additionally, some players exhibit more favorable performances at certain events, which must be taken into account when making an outcome prediction.
Break Point Conversion:
An analysis of recent form reveals that Slump has effectively converted 36.36% of breakpoint opportunities, whereas Gil has capitalized on 38.1% of chances to break their opponents' serve. This particular statistic proves instrumental in providing real-time betting advice whenever either player finds themselves facing a breakpoint opportunity.
If you are interested in models that offer tennis match predictions, this insightful article serves as an excellent starting point for avid statistics enthusiasts.
OPPONENT | Score | H2H | |||
---|---|---|---|---|---|
R2 |
![]() ![]()
Stijn Slump
Player
Diego Barreto Sanchez
54%
(
29 of
54)
1st Serve %
62%
(
50 of
81)
7
Aces
2
5
Double Faults
5
93%
(
27 of
29)
1st Serve Won
64%
(
32 of
50)
52%
(
13 of
25)
2nd Serve Won
45%
(
14 of
31)
25%
(
3 of
12)
Break Points Won
50%
(
1 of
2)
26%
(
14 of
54)
Rtn Points Won
43%
(
35 of
81)
75
Total Points Won
60
|
6-3 7-6(6) | H2H | ||
R1 |
![]() ![]()
Stijn Slump
Player
Dali Blanch
50%
(
22 of
44)
1st Serve %
49%
(
22 of
45)
3
Aces
3
1
Double Faults
1
73%
(
16 of
22)
1st Serve Won
50%
(
11 of
22)
50%
(
11 of
22)
2nd Serve Won
39%
(
9 of
23)
67%
(
4 of
6)
Break Points Won
20%
(
1 of
5)
39%
(
17 of
44)
Rtn Points Won
56%
(
25 of
45)
52
Total Points Won
37
|
6-4 6-0 | H2H | ||
Q1 |
![]() ![]()
Nicolas Alvarez Varona
Player
Stijn Slump
67%
(
41 of
61)
1st Serve %
61%
(
39 of
64)
5
Aces
6
1
Double Faults
2
80%
(
33 of
41)
1st Serve Won
77%
(
30 of
39)
85%
(
17 of
20)
2nd Serve Won
56%
(
14 of
25)
20%
(
1 of
5)
Break Points Won
0%
(
0 of
0)
18%
(
11 of
61)
Rtn Points Won
31%
(
20 of
64)
70
Total Points Won
55
|
7-6(4) 6-3 | H2H | ||
QF |
![]() ![]()
Fabrizio Andaloro
Player
Stijn Slump
69%
(
50 of
72)
1st Serve %
62%
(
46 of
74)
5
Aces
4
4
Double Faults
5
74%
(
37 of
50)
1st Serve Won
65%
(
30 of
46)
41%
(
9 of
22)
2nd Serve Won
43%
(
12 of
28)
67%
(
4 of
6)
Break Points Won
50%
(
3 of
6)
36%
(
26 of
72)
Rtn Points Won
43%
(
32 of
74)
78
Total Points Won
68
|
6-1 2-6 6-4 | H2H | ||
R2 |
![]() ![]()
Stijn Slump
Player
Yaroslav Demin
48%
(
13 of
27)
1st Serve %
58%
(
19 of
33)
1
Aces
2
0
Double Faults
3
69%
(
9 of
13)
1st Serve Won
74%
(
14 of
19)
79%
(
11 of
14)
2nd Serve Won
21%
(
3 of
14)
50%
(
2 of
4)
Break Points Won
33%
(
1 of
3)
26%
(
7 of
27)
Rtn Points Won
48%
(
16 of
33)
36
Total Points Won
24
|
6-4 6-4 | H2H | ||
R1 |
![]() ![]()
Stijn Slump
Player
Izan Almazan Valiente
52%
(
54 of
104)
1st Serve %
66%
(
74 of
112)
1
Aces
3
6
Double Faults
9
74%
(
40 of
54)
1st Serve Won
69%
(
51 of
74)
58%
(
29 of
50)
2nd Serve Won
45%
(
17 of
38)
30%
(
3 of
10)
Break Points Won
60%
(
3 of
5)
34%
(
35 of
104)
Rtn Points Won
39%
(
44 of
112)
113
Total Points Won
103
|
4-6 7-6(5) 6-4 | H2H | ||
QF |
![]() ![]()
John Echeverria
Player
Stijn Slump
47%
(
27 of
58)
1st Serve %
60%
(
35 of
58)
3
Aces
3
6
Double Faults
1
74%
(
20 of
27)
1st Serve Won
60%
(
21 of
35)
58%
(
18 of
31)
2nd Serve Won
52%
(
12 of
23)
50%
(
4 of
8)
Break Points Won
33%
(
2 of
6)
34%
(
20 of
58)
Rtn Points Won
43%
(
25 of
58)
63
Total Points Won
53
|
6-4 6-3 | H2H | ||
R2 |
![]() ![]()
Stijn Slump
Player
Darwin Blanch
51%
(
27 of
53)
1st Serve %
58%
(
33 of
57)
5
Aces
2
3
Double Faults
1
74%
(
20 of
27)
1st Serve Won
70%
(
23 of
33)
65%
(
17 of
26)
2nd Serve Won
42%
(
10 of
24)
75%
(
3 of
4)
Break Points Won
100%
(
1 of
1)
30%
(
16 of
53)
Rtn Points Won
42%
(
24 of
57)
61
Total Points Won
49
|
6-4 6-4 | H2H | ||
R1 |
![]() ![]()
Stijn Slump
Player
Alexandre Aubriot
100%
(
4 of
4)
1st Serve %
73%
(
8 of
11)
3
Aces
0
0
Double Faults
0
100%
(
4 of
4)
1st Serve Won
63%
(
5 of
8)
0%
(
0 of
0)
2nd Serve Won
33%
(
1 of
3)
0%
(
0 of
0)
Break Points Won
0%
(
0 of
0)
0%
(
0 of
4)
Rtn Points Won
45%
(
5 of
11)
9
Total Points Won
6
|
6-4 6-4 | H2H | ||
SF |
![]() ![]()
Darwin Blanch
Player
Stijn Slump
77%
(
50 of
65)
1st Serve %
59%
(
38 of
64)
3
Aces
3
3
Double Faults
3
72%
(
36 of
50)
1st Serve Won
58%
(
22 of
38)
53%
(
8 of
15)
2nd Serve Won
58%
(
15 of
26)
43%
(
3 of
7)
Break Points Won
0%
(
0 of
4)
32%
(
21 of
65)
Rtn Points Won
42%
(
27 of
64)
71
Total Points Won
58
|
6-4 6-3 | H2H |
view more
OPPONENT | Score | H2H | |||
---|---|---|---|---|---|
QF | 6-2 6-1 | H2H | |||
Q2 | 6-2 6-1 | H2H | |||
Q1 | 7-6(1) 3-6 10-7 | H2H | |||
Q2 | 7-6(11) 6-7(2) 10-7 | H2H | |||
Q1 | 6-0 6-2 | H2H | |||
Q1 | 6-4 6-3 | H2H | |||
Q1 | 6-3 6-2 | H2H | |||
R1 |
![]() ![]()
Stijn Slump
Player
Alvaro Bueno Gil
45%
(
18 of
40)
1st Serve %
69%
(
35 of
51)
3
Aces
1
1
Double Faults
1
89%
(
16 of
18)
1st Serve Won
54%
(
19 of
35)
77%
(
17 of
22)
2nd Serve Won
44%
(
7 of
16)
44%
(
4 of
9)
Break Points Won
0%
(
0 of
1)
18%
(
7 of
40)
Rtn Points Won
49%
(
25 of
51)
58
Total Points Won
33
|
6-4 6-0 | H2H | ||
QF | 6-3 7-5 | H2H | |||
Q2 | 6-1 6-7(5) 10-1 | H2H |
view more
Stats | ||
---|---|---|
59% (120/83) | Win/Loss | 47% (52/59) |
58% (268/192) | Sets Win/Loss | 46% (119/137) |
54% (2295/1978) | Games Win/Loss | 50% (1273/1281) |
55% (24/20) | Hard Win/Loss | 43% (17/23) |
61% (96/61) | Clay Win/Loss | 49% (35/36) |
0% (0/2) | Indoor Hard W/L | 0% (0/0) |
0% (0/0) | Grass Win/Loss | 0% (0/0) |
0.24 | Aces Per Game | 0.03 |
497 | Aces Total | 40 |
0.19 | Double Faults Per Game | 0.03 |
407 | Total Double Faults | 37 |
1:9:21 | Average Match Time | 1st Match |
305.49 | Average Opponent Rank | 131.66 |
55% (4811/8816) | 1st Serve % | 66% (1114/1676) |
70% (3364/4811) | 1st Serve Win % | 64% (715/1114) |
51% (2062/4005) | 2nd Serve Win % | 53% (300/562) |
44% (401/914) | Break Points Won % (Total) | 37% (59/161) |
40% (3572/8883) | Return Points Win % | 38% (657/1729) |
0% (0/0) | Slam W/L | 0% (0/0) |
0% (0/0) | Masters W/L | 0% (0/0) |
0% (0/0) | Cups W/L | 0% (0/0) |
0% (0/0) | Main Tour W/L | 0% (0/0) |
0% (0/0) | Tour Finals W/L | 0% (0/0) |
33% (4/8) | Challenger W/L | 0% (0/0) |
61% (116/75) | Futures W/L | 47% (52/59) |
59% (120/202) | Best of 3 Sets Win % | 47% (52/111) |
0% (0/1) | Best of 5 Sets Win % | 0% (0/0) |
48% (22/46) | Tiebreaks Win % (Total) | 47% (9/19) |
49% (26/53) | Deciding Set Win % | 56% (19/34) |
89% (122/108) | 1st Set Won, Won Match | 84% (51/43) |
11% (122/14) | 1st Set Won, Lost Match | 16% (51/8) |
15% (81/12) | 1st Set Lost, Won Match | 15% (60/9) |
View full predicted draw for Slump