Predictions
Matches
Calendar
H2H
Rankings
Picks Blog
Naoko Eto vs Gabriella DA SILVA Fick 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 Eto vs Fick analysis and find out who is favored!
Naoko Eto vs Gabriella DA SILVA Fick Important H2H Prediction Stats:
- Second serve performance recent form: In recent form (last 6 months), Eto has won 42.42% of points on his second serve, while Fick has won 0%. There is a high correlation between this stat and match prediction accuracy.
- Return game stats recent form: Return stats show Eto, in recent form, has won 58.52% of his opponent's second serve points, while Fick has won 0%. The same stats for first serve returns are 39.73% and 0% respectively and this has a high correlation to pick who is favored in this H2H matchup.
- Under pressure analysis: Eto has saved 47.27% of breakpoints in recent form, whereas Fick has saved 0% which is a useful statistic for in-game betting predictions.
- Performance overview: Over the last year Eto has won 36.67% of matches played (W/L 11/ 19), with Fick winning 0% (W/L 0/ 0) that gives us an overall head-to head prediction overview.
- Best surface: Eto has their best career surface win % on I.hard, winning 25% (W/L 3/ 9), and worse career win % on Clay, winning 16% (W/L 12/ 62). Fick has their best career surface win % on , winning % (W/L / ), and worse career win % on , winning % (W/L / ).
- Player level: In the last year, Eto has played most of their matches on the Futures/Satellites/ITF tournaments $10K, winning 38.1% of matches (W/L 8/ 13), where as Fick 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.
- Opponent quality stats: Over the last 12 months, Eto has played against opponents with an average rank of 0 while Fick 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, Eto has won 67% of deciding sets over the last 12 months, while Fick has won 0% in all matches played on tour.
- Break point conversion: In recent form, Eto has converted 44.68% of breakpoint opportunities, and Fick 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: Eto 0 - 0 Fick
N/A
Rank
High
39
Age
Plays
0
Total0
0
Hard0
0
Clay0
0
Indoor0
0
Grass0
N/A
Rank
High
23
Age
Plays
W
L
L
W
W
L
W
L
L
L
Form
Career Total W/L
YTD W/L
$0
Career Prize Money
$0
YTD Titles
Currently displayed stats includes matches of all levels. To exclude lower level events (as per ATP / WTA official stats) toggle button in page footer.
No H2H Matches Available
Stats Breakdown Vs All H2H Opponents
| stats | Naoko Eto | Gabriella DA SILVA Fick |
|---|---|---|
| YTD W/L | 38% (3/5) | 1st Match |
| Sets Win/Loss | 38% (6/10) | 1st Match |
| Games Win/Loss | 42% (58/81) | 1st Match |
| Hard Win/Loss | 0% (0/0) | 1st Match |
| Clay Win/Loss | 25% (1/3) | 1st Match |
| Indoor Hard W/L | 50% (2/2) | 1st Match |
| Grass Win/Loss | 0% (0/0) | 1st Match |
| Aces pg | 0.01 | 1st Match |
| Aces Total | 1 | 1st Match |
| DFs per game | 0.25 | 1st Match |
| DFs Total | 17 | 1st Match |
| Avg Match Time | 1st Match | 1st Match |
| Avg Opp Rank | 0 | 1st Match |
| 1st Serve % | 63% (102/163) | 1st Match |
| 1st Serve W% | 51% (52/102) | 1st Match |
| 2nd Serve W% | 39% (24/61) | 1st Match |
| BPs Won% Total | 63% (12/19) | 1st Match |
| Return Pts W% | 48% (77/160) | 1st Match |
| Slam W/L | 0% (0/0) | 1st Match |
| Masters W/L | 0% (0/0) | 1st Match |
| Cups W/L | 0% (0/0) | 1st Match |
| Main Tour W/L | 0% (0/0) | 1st Match |
| Tour Finals W/L | 0% (0/0) | 1st Match |
| Challenger W/L | 0% (0/2) | 1st Match |
| Futures W/L | 50% (3/3) | 1st Match |
| Best of 3 Sets W% | 38% (3/8) | 1st Match |
| Best of 5 Sets W% | 0% (0/0) | 1st Match |
| TBs Win% (Total) | 100% (1/1) | 1st Match |
| Deciding Set W% | 0% (0/0) | 1st Match |
| 1st set W, W | 100% (3/3) | 1st Match |
| 1st set W, L | 0% (3/0) | 1st Match |
| 1st set L, W | 0% (5/0) | 1st Match |
Naoko Eto Recent Matches Played
Before:
| opponent | Score | H2H | |||
|---|---|---|---|---|---|
| Q1 | 6-0 6-0 | H2H | |||
| Q1 | 7-5 5-2 ret. | H2H | |||
| Q2 | 6-3 6-2 | H2H | |||
| Q1 | 7-6(3) 6-4 | H2H | |||
| R1 |
Stats 
Bronte Murgett
Player
Naoko Eto
64%
(
27 of
42)
1st Serve %
65%
(
31 of
48)
-
Aces
-
1
Double Faults
5
63%
(
17 of
27)
1st Serve Won
35%
(
11 of
31)
47%
(
7 of
15)
2nd Serve Won
24%
(
4 of
17)
64%
(
7 of
11)
Break Points Won
67%
(
2 of
3)
43%
(
18 of
42)
Rtn Points Won
69%
(
33 of
48)
57
Total Points Won
33
|
6-0 6-2 | H2H | ||
| QF |
Stats
Naoko Eto
Player
Sara-Maria Calmuschi
63%
(
33 of
52)
1st Serve %
60%
(
25 of
42)
1
Aces
0
3
Double Faults
3
70%
(
23 of
33)
1st Serve Won
40%
(
10 of
25)
58%
(
11 of
19)
2nd Serve Won
53%
(
9 of
17)
83%
(
5 of
6)
Break Points Won
14%
(
1 of
7)
35%
(
18 of
52)
Rtn Points Won
55%
(
23 of
42)
57
Total Points Won
37
|
6-1 6-3 | H2H | ||
| Q1 | 6-3 6-3 | H2H | |||
| Q1 |
Stats
Isabella Marton
Player
Naoko Eto
63%
(
48 of
76)
1st Serve %
60%
(
38 of
63)
-
Aces
-
5
Double Faults
9
58%
(
28 of
48)
1st Serve Won
47%
(
18 of
38)
43%
(
12 of
28)
2nd Serve Won
36%
(
9 of
25)
53%
(
8 of
15)
Break Points Won
50%
(
5 of
10)
47%
(
36 of
76)
Rtn Points Won
57%
(
36 of
63)
76
Total Points Won
63
|
6-2 7-5 | H2H | ||
| R1 |
Stats
Carolann Delaunay
Player
Naoko Eto
61%
(
43 of
71)
1st Serve %
65%
(
35 of
54)
-
Aces
-
10
Double Faults
5
70%
(
30 of
43)
1st Serve Won
51%
(
18 of
35)
36%
(
10 of
28)
2nd Serve Won
47%
(
9 of
19)
71%
(
5 of
7)
Break Points Won
30%
(
3 of
10)
44%
(
31 of
71)
Rtn Points Won
50%
(
27 of
54)
67
Total Points Won
58
|
6-3 7-5 | H2H | ||
| QF |
Stats
Naoko Eto
Player
Yanni Liu
80%
(
51 of
64)
1st Serve %
67%
(
64 of
95)
-
Aces
-
0
Double Faults
4
53%
(
27 of
51)
1st Serve Won
58%
(
37 of
64)
69%
(
9 of
13)
2nd Serve Won
39%
(
12 of
31)
27%
(
4 of
15)
Break Points Won
57%
(
4 of
7)
44%
(
28 of
64)
Rtn Points Won
48%
(
46 of
95)
82
Total Points Won
77
|
3-6 6-3 10-6 | H2H | ||
view more
Gabriella DA SILVA Fick Recent Matches Played
Before:
| opponent | Score | H2H | |||
|---|---|---|---|---|---|
| F |
Stats
Gabriella Da Silva Fick
Player
Emerson Jones
54%
(
38 of
70)
1st Serve %
76%
(
57 of
75)
13
Aces
0
2
Double Faults
1
79%
(
30 of
38)
1st Serve Won
63%
(
36 of
57)
59%
(
19 of
32)
2nd Serve Won
56%
(
10 of
18)
67%
(
4 of
6)
Break Points Won
33%
(
1 of
3)
30%
(
21 of
70)
Rtn Points Won
39%
(
29 of
75)
78
Total Points Won
67
|
3-6 6-3 6-1 | H2H | ||
| SF |
Stats
Gabriella Da Silva Fick
Player
Alana Parnaby
55%
(
53 of
96)
1st Serve %
65%
(
51 of
78)
3
Aces
2
4
Double Faults
4
70%
(
37 of
53)
1st Serve Won
75%
(
38 of
51)
53%
(
23 of
43)
2nd Serve Won
48%
(
13 of
27)
50%
(
3 of
6)
Break Points Won
60%
(
3 of
5)
38%
(
36 of
96)
Rtn Points Won
35%
(
27 of
78)
87
Total Points Won
87
|
7-6(3) 7-6(4) | H2H | ||
| QF |
Stats
Gabriella Da Silva Fick
Player
Maddison Inglis
60%
(
42 of
70)
1st Serve %
58%
(
43 of
74)
11
Aces
4
5
Double Faults
4
79%
(
33 of
42)
1st Serve Won
60%
(
26 of
43)
50%
(
14 of
28)
2nd Serve Won
55%
(
17 of
31)
50%
(
5 of
10)
Break Points Won
60%
(
3 of
5)
33%
(
23 of
70)
Rtn Points Won
42%
(
31 of
74)
78
Total Points Won
66
|
6-3 3-6 6-1 | H2H | ||
| R2 |
Stats
Gabriella Da Silva Fick
Player
Bridget Mihulka
61%
(
59 of
96)
1st Serve %
69%
(
59 of
85)
8
Aces
8
5
Double Faults
4
78%
(
46 of
59)
1st Serve Won
68%
(
40 of
59)
51%
(
19 of
37)
2nd Serve Won
31%
(
8 of
26)
56%
(
5 of
9)
Break Points Won
25%
(
2 of
8)
32%
(
31 of
96)
Rtn Points Won
44%
(
37 of
85)
102
Total Points Won
79
|
6-3 6-7(4) 6-1 | H2H | ||
| R1 |
Stats
Gabriella Da Silva Fick
Player
Jemma Carbis
53%
(
16 of
30)
1st Serve %
58%
(
21 of
36)
4
Aces
0
5
Double Faults
4
94%
(
15 of
16)
1st Serve Won
29%
(
6 of
21)
64%
(
9 of
14)
2nd Serve Won
33%
(
5 of
15)
86%
(
6 of
7)
Break Points Won
0%
(
0 of
0)
20%
(
6 of
30)
Rtn Points Won
69%
(
25 of
36)
49
Total Points Won
17
|
6-0 6-1 | H2H | ||
| SF |
Stats
Tina Nadine Smith
Player
Gabriella Da Silva Fick
69%
(
59 of
85)
1st Serve %
66%
(
54 of
82)
4
Aces
3
4
Double Faults
2
64%
(
38 of
59)
1st Serve Won
69%
(
37 of
54)
58%
(
15 of
26)
2nd Serve Won
46%
(
13 of
28)
75%
(
3 of
4)
Break Points Won
17%
(
2 of
12)
38%
(
32 of
85)
Rtn Points Won
39%
(
32 of
82)
85
Total Points Won
82
|
7-5 7-6(6) | H2H | ||
| QF |
Stats
Gabriella Da Silva Fick
Player
Misaki Matsuda
61%
(
56 of
92)
1st Serve %
75%
(
61 of
81)
5
Aces
2
7
Double Faults
4
64%
(
36 of
56)
1st Serve Won
48%
(
29 of
61)
33%
(
12 of
36)
2nd Serve Won
35%
(
7 of
20)
50%
(
7 of
14)
Break Points Won
50%
(
5 of
10)
48%
(
44 of
92)
Rtn Points Won
56%
(
45 of
81)
93
Total Points Won
80
|
2-6 6-1 6-3 | H2H | ||
| R2 |
Stats
Gabriella Da Silva Fick
Player
Jia-Jing Lu
58%
(
45 of
77)
1st Serve %
54%
(
36 of
67)
3
Aces
2
5
Double Faults
3
69%
(
31 of
45)
1st Serve Won
67%
(
24 of
36)
44%
(
14 of
32)
2nd Serve Won
39%
(
12 of
31)
80%
(
4 of
5)
Break Points Won
22%
(
2 of
9)
42%
(
32 of
77)
Rtn Points Won
46%
(
31 of
67)
76
Total Points Won
68
|
6-4 6-4 | H2H | ||
| R1 |
Stats
Gabriella Da Silva Fick
Player
Laquisa Khan
63%
(
45 of
71)
1st Serve %
60%
(
39 of
65)
7
Aces
2
4
Double Faults
2
69%
(
31 of
45)
1st Serve Won
69%
(
27 of
39)
54%
(
14 of
26)
2nd Serve Won
27%
(
7 of
26)
60%
(
3 of
5)
Break Points Won
17%
(
1 of
6)
37%
(
26 of
71)
Rtn Points Won
48%
(
31 of
65)
76
Total Points Won
60
|
6-3 6-4 | H2H | ||
| R1 |
Stats
Amarni Banks
Player
Gabriella Da Silva Fick
69%
(
41 of
59)
1st Serve %
59%
(
42 of
71)
4
Aces
1
1
Double Faults
0
73%
(
30 of
41)
1st Serve Won
45%
(
19 of
42)
50%
(
9 of
18)
2nd Serve Won
55%
(
16 of
29)
33%
(
4 of
12)
Break Points Won
17%
(
1 of
6)
34%
(
20 of
59)
Rtn Points Won
51%
(
36 of
71)
75
Total Points Won
55
|
6-3 6-3 | H2H | ||
view more
Eto Vs Fick 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.
It's good to talk... Get in touch with us support@matchstat.com
