Predictions
Matches
Calendar
H2H
Rankings
Picks Blog
Gabriella Taylor vs Miriam Civera Lima 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 Taylor vs Lima analysis and find out who is favored!
Gabriella Taylor vs Miriam Civera Lima Important H2H Prediction Stats:
Head-to-head: Taylor 2 - 0 Lima
- Second serve performance recent form: In recent form (last 6 months), Taylor has won 0% of points on their second serve, while Lima has won 0%. There is a high correlation between this stat and match prediction accuracy.
- Return game stats recent form: Return stats show Taylor, in recent form, has won 0% of their opponent's second serve points, while Lima has won 0%. The same stats for first serve returns are 0% and 0% respectively and this has a high correlation to pick who is favored in this H2H matchup.
- Under pressure analysis: Taylor has saved 0% of breakpoints in recent form, whereas Lima has saved 0% which is a useful statistic for in-game betting predictions.
- Performance overview: Over the last year Taylor has won 0% of matches played (W/L 0/ 0), with Lima winning 0% (W/L 0/ 0) that gives us an overall head-to head prediction overview.
- Best surface: Taylor has their best career surface win % on Hard, winning 67% (W/L 97/ 47), and worse career win % on I.hard, winning 38% (W/L 3/ 5). Lima has their best career surface win % on Clay, winning 59% (W/L 48/ 34), and worse career win % on Hard, winning 56% (W/L 18/ 14).
- Direct H2H matches: They have played 2 times before with Taylor winning 2 times and Lima being victorious 0 times. They have played 5 sets in total, with Taylor winning 4 and Lima winning 1. The last match between Taylor and Lima was at the Monzon, 11-05-2016, Second, Hard with Gabriella Taylor getting the victory 7-5 7-5.
- Head to head match duration: In past head to head matches, the average match time between these players has been 2:41:0.
- Deciding set H2H prediction: Taylor and Lima have played a deciding set 1 times, with Taylor winning 1 times and Lima 0 times. Very useful for predicting the outcome if this match goes the distance.
- Head-to-Head extreme pressure situations: They have played 0 tiebreaks against each other with Taylor winning 0, and Lima 0.
- Opponent quality stats: Over the last 12 months, Taylor has played against opponents with an average rank of while Lima 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, Taylor has won 0% of deciding sets over the last 12 months, while Lima has won 0% in all matches played on tour.
- Break point conversion: In recent form, Taylor has converted 0% of breakpoint opportunities, and Lima 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.
- If you are interested in models that predict tennis matches, this article is a good start (Warning: Stats geeks only)
Ret.
Rank
162
High
26
Age
R
Plays
2
Total0
1
Hard0
1
Clay0
0
Indoor0
0
Grass0
Ret.
Rank
839
High
28
Age
Plays
L
W
W
L
W
W
L
W
L
L
Form
L
W
L
L
W
L
W
W
W
L
61% (136-88)
Career Total W/L
58% (66-48)
0% (0-0)
YTD W/L
0% (0-0)
$72,000
Career Prize Money
$0
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.
The Best Odds For Gabriella Taylor vs Miriam Civera Lima For Any Market:
We highly recommend you open accounts with at least 3 Bookmakers as depending on the match, odds can vary a lot between them, and always getting the best odds available will improve your profitability a lot in the long run. We recommend these Sportsbooks for you so sign up now! Check the current best odds by clicking the Sportsbook links below:
Sportsbooks & Bookies Promo Codes For Taylor VS Lima
Sportsbook
Offer
| stats | Gabriella Taylor | Miriam Civera Lima |
|---|---|---|
| All H2H Matches | 2 | 0 |
| Sets Won | 4 | 1 |
| Games Won | 32 | 24 |
| Aces (Total) | 1 | 1 |
| DFs Total | 9 | 1 |
| Avg Match Time | 2:41:0 | 2:41:0 |
| 1st Serve % | 72% (137/190) | 68% (139/204) |
| 1st Serve Win% | 55% (76/137) | 48% (67/139) |
| 2nd Serve Win% | 53% (28/53) | 43% (28/65) |
| BPs Won% (Total) | 41% (15/37) | 41% (11/27) |
| Return Points W% | 53% (109/204) | 45% (86/190) |
| 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) | 0% (0/0) | 0% (0/0) |
| 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 | |||
|---|---|---|---|---|---|
| 7-5 7-5 |
Stats 
Gabriella Taylor
Player
Miriam Civera Lima
77%
(
66 of
86)
1st Serve %
71%
(
75 of
106)
-
Aces
-
4
Double Faults
1
62%
(
41 of
66)
1st Serve Won
48%
(
36 of
75)
50%
(
10 of
20)
2nd Serve Won
55%
(
17 of
31)
26%
(
5 of
19)
Break Points Won
33%
(
3 of
9)
41%
(
35 of
86)
Rtn Points Won
50%
(
53 of
106)
104
Total Points Won
88
|
||||
| 7-5 5-7 6-2 |
Stats
Gabriella Taylor
Player
Miriam Civera Lima
68%
(
71 of
104)
1st Serve %
65%
(
64 of
98)
1
Aces
1
5
Double Faults
0
49%
(
35 of
71)
1st Serve Won
48%
(
31 of
64)
55%
(
18 of
33)
2nd Serve Won
32%
(
11 of
34)
56%
(
10 of
18)
Break Points Won
44%
(
8 of
18)
49%
(
51 of
104)
Rtn Points Won
57%
(
56 of
98)
109
Total Points Won
93
|
||||
Stats Breakdown Vs All H2H Opponents
| stats | Gabriella Taylor | Miriam Civera Lima |
|---|---|---|
| YTD W/L | 0% (0/0) | 0% (0/0) |
| Sets Win/Loss | 0% (0/0) | 0% (0/0) |
| Games Win/Loss | 0% (0/0) | 0% (0/0) |
| Hard Win/Loss | 0% (0/0) | 0% (0/0) |
| Clay Win/Loss | 0% (0/0) | 0% (0/0) |
| Indoor Hard W/L | 0% (0/0) | 0% (0/0) |
| Grass Win/Loss | 0% (0/0) | 0% (0/0) |
| Aces pg | 0 | 0 |
| Aces Total | 0 | 0 |
| DFs per game | 0 | 0 |
| DFs Total | 0 | 0 |
| Avg Match Time | 1st Match | 1st Match |
| Avg Opp Rank | 0 | 0 |
| 1st Serve % | 0% (0/0) | 0% (0/0) |
| 1st Serve W% | 0% (0/0) | 0% (0/0) |
| 2nd Serve W% | 0% (0/0) | 0% (0/0) |
| BPs Won% Total | 0% (0/0) | 0% (0/0) |
| Return Pts W% | 0% (0/0) | 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) | 0% (0/0) |
| Challenger W/L | 0% (0/0) | 0% (0/0) |
| Futures W/L | 0% (0/0) | 0% (0/0) |
| Best of 3 Sets W% | 0% (0/0) | 0% (0/0) |
| Best of 5 Sets W% | 0% (0/0) | 0% (0/0) |
| TBs Win% (Total) | 0% (0/0) | 0% (0/0) |
| Deciding Set W% | 0% (0/0) | 0% (0/0) |
| 1st set W, W | 0% (0/0) | 0% (0/0) |
| 1st set W, L | 0% (0/0) | 0% (0/0) |
| 1st set L, W | 0% (0/0) | 0% (0/0) |
Gabriella Taylor Recent Matches Played
Before:
| OPPONENT | Score | H2H | |||
|---|---|---|---|---|---|
| R1 |
Stats
Paige Mary Hourigan
Player
Gabriella Taylor
55%
(
66 of
121)
1st Serve %
65%
(
75 of
116)
2
Aces
1
13
Double Faults
11
58%
(
38 of
66)
1st Serve Won
49%
(
37 of
75)
36%
(
20 of
55)
2nd Serve Won
49%
(
20 of
41)
73%
(
8 of
11)
Break Points Won
47%
(
8 of
17)
52%
(
63 of
121)
Rtn Points Won
51%
(
59 of
116)
117
Total Points Won
120
|
3-6 7-5 7-6(5) | H2H | ||
| R2 |
Stats
Deniz Khazaniuk
Player
Gabriella Taylor
62%
(
43 of
69)
1st Serve %
53%
(
40 of
76)
1
Aces
0
4
Double Faults
14
44%
(
19 of
43)
1st Serve Won
53%
(
21 of
40)
46%
(
12 of
26)
2nd Serve Won
19%
(
7 of
36)
45%
(
9 of
20)
Break Points Won
67%
(
6 of
9)
55%
(
38 of
69)
Rtn Points Won
63%
(
48 of
76)
79
Total Points Won
66
|
6-3 7-5 | H2H | ||
| R1 |
Stats
Gabriella Taylor
Player
Shelly Bereznyak
46%
(
31 of
68)
1st Serve %
76%
(
59 of
78)
4
Aces
0
15
Double Faults
3
74%
(
23 of
31)
1st Serve Won
47%
(
28 of
59)
41%
(
15 of
37)
2nd Serve Won
32%
(
6 of
19)
41%
(
7 of
17)
Break Points Won
44%
(
4 of
9)
44%
(
30 of
68)
Rtn Points Won
56%
(
44 of
78)
82
Total Points Won
64
|
7-5 6-2 | H2H | ||
| QF |
Stats
Daniela Vismane
Player
Gabriella Taylor
72%
(
72 of
100)
1st Serve %
66%
(
71 of
107)
0
Aces
1
3
Double Faults
9
54%
(
39 of
72)
1st Serve Won
58%
(
41 of
71)
39%
(
11 of
28)
2nd Serve Won
33%
(
12 of
36)
62%
(
8 of
13)
Break Points Won
62%
(
8 of
13)
50%
(
50 of
100)
Rtn Points Won
50%
(
54 of
107)
104
Total Points Won
103
|
3-6 7-5 7-6(6) | H2H | ||
| R2 |
Stats
Gabriella Taylor
Player
Justina Mikulskyte
58%
(
30 of
52)
1st Serve %
68%
(
36 of
53)
1
Aces
0
7
Double Faults
2
73%
(
22 of
30)
1st Serve Won
42%
(
15 of
36)
45%
(
10 of
22)
2nd Serve Won
35%
(
6 of
17)
60%
(
6 of
10)
Break Points Won
50%
(
2 of
4)
38%
(
20 of
52)
Rtn Points Won
60%
(
32 of
53)
64
Total Points Won
41
|
6-3 6-1 | H2H | ||
| R1 |
Stats
Gabriella Taylor
Player
Eva Vedder
62%
(
46 of
74)
1st Serve %
67%
(
52 of
78)
2
Aces
1
6
Double Faults
1
74%
(
34 of
46)
1st Serve Won
60%
(
31 of
52)
46%
(
13 of
28)
2nd Serve Won
50%
(
13 of
26)
38%
(
3 of
8)
Break Points Won
14%
(
1 of
7)
36%
(
27 of
74)
Rtn Points Won
44%
(
34 of
78)
81
Total Points Won
71
|
7-6(9) 6-2 | H2H | ||
| QF |
Stats
Maria Timofeeva
Player
Gabriella Taylor
77%
(
95 of
124)
1st Serve %
64%
(
56 of
87)
1
Aces
2
4
Double Faults
6
58%
(
55 of
95)
1st Serve Won
63%
(
35 of
56)
48%
(
14 of
29)
2nd Serve Won
42%
(
13 of
31)
54%
(
7 of
13)
Break Points Won
31%
(
5 of
16)
44%
(
55 of
124)
Rtn Points Won
45%
(
39 of
87)
108
Total Points Won
103
|
6-2 5-7 7-5 | H2H | ||
| R2 |
Stats
Gabriella Taylor
Player
Nastasja Mariana Schunk
56%
(
29 of
52)
1st Serve %
61%
(
28 of
46)
2
Aces
0
5
Double Faults
4
79%
(
23 of
29)
1st Serve Won
46%
(
13 of
28)
57%
(
13 of
23)
2nd Serve Won
44%
(
8 of
18)
57%
(
4 of
7)
Break Points Won
0%
(
0 of
3)
31%
(
16 of
52)
Rtn Points Won
54%
(
25 of
46)
61
Total Points Won
37
|
6-1 6-2 | H2H | ||
| R1 |
Stats
Gabriella Taylor
Player
Alica Rusova
52%
(
24 of
46)
1st Serve %
67%
(
34 of
51)
3
Aces
0
5
Double Faults
5
79%
(
19 of
24)
1st Serve Won
41%
(
14 of
34)
45%
(
10 of
22)
2nd Serve Won
24%
(
4 of
17)
70%
(
7 of
10)
Break Points Won
50%
(
2 of
4)
37%
(
17 of
46)
Rtn Points Won
65%
(
33 of
51)
62
Total Points Won
35
|
6-1 6-2 | H2H | ||
| R2 |
Stats
Manon Arcangioli
Player
Gabriella Taylor
57%
(
47 of
83)
1st Serve %
56%
(
51 of
91)
0
Aces
3
3
Double Faults
13
60%
(
28 of
47)
1st Serve Won
61%
(
31 of
51)
61%
(
22 of
36)
2nd Serve Won
38%
(
15 of
40)
73%
(
8 of
11)
Break Points Won
71%
(
5 of
7)
40%
(
33 of
83)
Rtn Points Won
49%
(
45 of
91)
95
Total Points Won
79
|
6-3 5-7 6-2 | H2H | ||
view more
Miriam Civera Lima Recent Matches Played
Before:
| OPPONENT | Score | H2H | |||
|---|---|---|---|---|---|
| SF |
Stats
Tess Sugnaux
Player
Miriam Civera Lima
57%
(
36 of
63)
1st Serve %
57%
(
33 of
58)
0
Aces
1
5
Double Faults
4
67%
(
24 of
36)
1st Serve Won
39%
(
13 of
33)
30%
(
8 of
27)
2nd Serve Won
24%
(
6 of
25)
73%
(
8 of
11)
Break Points Won
56%
(
5 of
9)
49%
(
31 of
63)
Rtn Points Won
67%
(
39 of
58)
71
Total Points Won
50
|
6-2 6-3 | H2H | ||
| QF |
Stats
Miriam Civera Lima
Player
Lucia Marzal Martinez
60%
(
48 of
80)
1st Serve %
68%
(
52 of
76)
2
Aces
0
7
Double Faults
4
71%
(
34 of
48)
1st Serve Won
44%
(
23 of
52)
22%
(
7 of
32)
2nd Serve Won
25%
(
6 of
24)
90%
(
9 of
10)
Break Points Won
60%
(
6 of
10)
49%
(
39 of
80)
Rtn Points Won
62%
(
47 of
76)
88
Total Points Won
69
|
4-6 6-4 6-0 | H2H | ||
| R2 |
Stats
Miriam Civera Lima
Player
Harmony Tan
53%
(
34 of
64)
1st Serve %
47%
(
26 of
55)
2
Aces
0
5
Double Faults
4
79%
(
27 of
34)
1st Serve Won
58%
(
15 of
26)
37%
(
11 of
30)
2nd Serve Won
38%
(
11 of
29)
100%
(
5 of
5)
Break Points Won
14%
(
1 of
7)
41%
(
26 of
64)
Rtn Points Won
53%
(
29 of
55)
67
Total Points Won
52
|
6-2 6-3 | H2H | ||
| R1 |
Stats
Miriam Civera Lima
Player
Laura Marti
56%
(
23 of
41)
1st Serve %
53%
(
17 of
32)
-
Aces
-
5
Double Faults
2
70%
(
16 of
23)
1st Serve Won
35%
(
6 of
17)
67%
(
12 of
18)
2nd Serve Won
13%
(
2 of
15)
67%
(
6 of
9)
Break Points Won
0%
(
0 of
5)
32%
(
13 of
41)
Rtn Points Won
75%
(
24 of
32)
52
Total Points Won
21
|
6-0 6-0 | H2H | ||
| R2 |
Stats
Melanie Stokke
Player
Miriam Civera Lima
67%
(
47 of
70)
1st Serve %
68%
(
32 of
47)
0
Aces
4
1
Double Faults
5
68%
(
32 of
47)
1st Serve Won
63%
(
20 of
32)
48%
(
11 of
23)
2nd Serve Won
20%
(
3 of
15)
50%
(
4 of
8)
Break Points Won
50%
(
1 of
2)
39%
(
27 of
70)
Rtn Points Won
51%
(
24 of
47)
67
Total Points Won
50
|
6-2 6-3 | H2H | ||
| R1 | 6-1 6-0 | H2H | |||
| R1 |
Stats
Ksenija Sharifova
Player
Miriam Civera Lima
56%
(
27 of
48)
1st Serve %
68%
(
41 of
60)
1
Aces
0
4
Double Faults
4
59%
(
16 of
27)
1st Serve Won
46%
(
19 of
41)
52%
(
11 of
21)
2nd Serve Won
37%
(
7 of
19)
78%
(
7 of
9)
Break Points Won
75%
(
3 of
4)
44%
(
21 of
48)
Rtn Points Won
57%
(
34 of
60)
61
Total Points Won
47
|
6-1 6-4 | H2H | ||
| R2 |
Stats
Gabriella Taylor
Player
Miriam Civera Lima
77%
(
66 of
86)
1st Serve %
71%
(
75 of
106)
-
Aces
-
4
Double Faults
1
62%
(
41 of
66)
1st Serve Won
48%
(
36 of
75)
50%
(
10 of
20)
2nd Serve Won
55%
(
17 of
31)
26%
(
5 of
19)
Break Points Won
33%
(
3 of
9)
41%
(
35 of
86)
Rtn Points Won
50%
(
53 of
106)
104
Total Points Won
88
|
7-5 7-5 | H2H | ||
| R1 |
Stats
Miriam Civera Lima
Player
Meritxell Perera Ros
65%
(
26 of
40)
1st Serve %
51%
(
23 of
45)
2
Aces
2
2
Double Faults
4
81%
(
21 of
26)
1st Serve Won
57%
(
13 of
23)
43%
(
6 of
14)
2nd Serve Won
14%
(
3 of
22)
50%
(
6 of
12)
Break Points Won
0%
(
0 of
4)
33%
(
13 of
40)
Rtn Points Won
64%
(
29 of
45)
56
Total Points Won
29
|
6-0 6-0 | H2H | ||
| R1 |
Stats
Emina Bektas
Player
Miriam Civera Lima
64%
(
59 of
92)
1st Serve %
70%
(
64 of
91)
4
Aces
7
5
Double Faults
3
66%
(
39 of
59)
1st Serve Won
58%
(
37 of
64)
52%
(
17 of
33)
2nd Serve Won
44%
(
12 of
27)
56%
(
5 of
9)
Break Points Won
25%
(
3 of
12)
39%
(
36 of
92)
Rtn Points Won
46%
(
42 of
91)
98
Total Points Won
85
|
4-6 6-1 6-4 | H2H | ||
view more
Taylor Vs Lima Prediction H2H Images To Share
More tennis photos of Taylor are available here and Lima photos here.
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 [email protected]
