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Gina Feistel vs Kayla Cross 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 Feistel vs Cross analysis and find out who is favored!
Gina Feistel vs Kayla Cross Important H2H Prediction Stats:
Head-to-head: Feistel 1 - 0 Cross
- Second serve performance recent form: In recent form (last 6 months), Feistel has won 46.85% of points on their second serve, while Cross has won 43.36%. There is a high correlation between this stat and match prediction accuracy.
- Return game stats recent form: Return stats show Feistel, in recent form, has won 57.23% of their opponent's second serve points, while Cross has won 52.67%. The same stats for first serve returns are 45.26% and 40.8% respectively and this has a high correlation to pick who is favored in this H2H matchup.
- Under pressure analysis: Feistel has saved 52.08% of breakpoints in recent form, whereas Cross has saved 52.56% which is a useful statistic for in-game betting predictions.
- Performance overview: Over the last year Feistel has won 66.67% of matches played (W/L 44/ 22), with Cross winning 53.33% (W/L 24/ 21) that gives us an overall head-to head prediction overview.
- Best surface: Feistel has their best career surface win % on Clay, winning 66% (W/L 42/ 22), and worse career win % on I.hard, winning 50% (W/L 3/ 3). Cross has their best career surface win % on Clay, winning 58% (W/L 33/ 24), and worse career win % on I.hard, winning 44% (W/L 8/ 10).
- Player level: In the last year, Feistel has played most of their matches on the Challengers/ITF tournaments > $10K, winning 54.29% of matches (W/L 19/ 16), where as Cross has played most of their matches on the Challengers/ITF tournaments > $10K, winning 53.33% of matches (W/L 24/ 21). 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 1 times before with Feistel winning 1 times and Cross being victorious 0 times. They have played 2 sets in total, with Feistel winning 2 and Cross winning 0. The last match between Feistel and Cross was at the W40 Otocec, 30-05-2023, First, Clay with Gina Feistel getting the victory 6-4 6-1.
- Head to head match duration: In past head to head matches, the average match time between these players has been 1:13:0.
- Deciding set H2H prediction: Feistel and Cross have played a deciding set 0 times, with Feistel winning 0 times and Cross 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 Feistel winning 0, and Cross 0.
- Opponent quality stats: Over the last 12 months, Feistel has played against opponents with an average rank of 268.7 while Cross has played against players with an average rank of 168.91.
- Deciding set performance vs all players: If you are interested in live predictions and betting, if this match goes into a deciding set, Feistel has won 68% of deciding sets over the last 12 months, while Cross has won 60% in all matches played on tour.
- Break point conversion: In recent form, Feistel has converted 46.02% of breakpoint opportunities, and Cross has converted 48.32% 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)
478
Rank
478
High
21
Age
Plays
1
Total0
0
Hard0
1
Clay0
0
Indoor0
0
Grass0
593
Rank
514
High
19
Age
Plays
W
W
W
L
W
W
W
W
L
L
Form
W
L
W
L
W
W
W
L
W
L
62% (77-48)
Career Total W/L
55% (61-50)
65% (20-11)
YTD W/L
63% (20-12)
$0
Career Prize Money
$2,835
1
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 Gina Feistel vs Kayla Cross For Any Market:
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| stats | Gina Feistel | Kayla Cross |
|---|---|---|
| All H2H Matches | 1 | 0 |
| Sets Won | 2 | 0 |
| Games Won | 12 | 5 |
| Aces (Total) | 2 | 0 |
| DFs (Total) | 2 | 3 |
| Avg Match Time | 1:13:0 | 1:13:0 |
| 1st Serve % | 68% (32/47) | 75% (40/53) |
| 1st Serve Win% | 56% (18/32) | 38% (15/40) |
| 2nd Serve Win% | 60% (9/15) | 46% (6/13) |
| BPs Won% (Total) | 50% (6/12) | 100% (3/3) |
| Return Points W% | 60% (32/53) | 43% (20/47) |
| Best of 3 Sets W% | 100% (1/1) | 0% (0/1) |
| Best of 5 Sets W% | 0% (0/0) | 0% (0/0) |
| TBs Win% (Total) | 0% (0/0) | 0% (0/0) |
| Deciding Set Win% | 0% (0/0) | 0% (0/0) |
| 1st set W, W | 100% (1/1) | 0% (0/0) |
| 1st set W, L | 0% (1/0) | 0% (0/0) |
| 1st set L, W | 0% (0/0) | 0% (1/0) |
| Winning Player | Losing Player | Score | |||
|---|---|---|---|---|---|
| 6-4 6-1 |
Stats 
Gina Feistel
Player
Kayla Cross
68%
(
32 of
47)
1st Serve %
75%
(
40 of
53)
2
Aces
0
2
Double Faults
3
56%
(
18 of
32)
1st Serve Won
38%
(
15 of
40)
60%
(
9 of
15)
2nd Serve Won
46%
(
6 of
13)
50%
(
6 of
12)
Break Points Won
100%
(
3 of
3)
43%
(
20 of
47)
Rtn Points Won
60%
(
32 of
53)
59
Total Points Won
41
|
||||
Stats Breakdown Vs All H2H Opponents
| stats | Gina Feistel | Kayla Cross |
|---|---|---|
| YTD W/L | 65% (20/11) | 63% (20/12) |
| Sets Win/Loss | 59% (44/31) | 59% (44/30) |
| Games Win/Loss | 53% (368/320) | 53% (352/318) |
| Hard Win/Loss | 50% (4/4) | 63% (5/3) |
| Clay Win/Loss | 75% (15/5) | 63% (15/9) |
| Indoor Hard W/L | 33% (1/2) | 0% (0/0) |
| Grass Win/Loss | 0% (0/0) | 0% (0/0) |
| Aces pg | 0.03 | 0.15 |
| Aces Total | 9 | 49 |
| DFs per game | 0.27 | 0.53 |
| DFs Total | 91 | 176 |
| Avg Match Time | 1st Match | 1:37:30 |
| Avg Opp Rank | 318.68 | 149.97 |
| 1st Serve % | 72% (1630/2264) | 61% (1228/2019) |
| 1st Serve W% | 56% (918/1630) | 64% (790/1228) |
| 2nd Serve W% | 47% (297/634) | 43% (343/791) |
| BPs Won% Total | 46% (156/339) | 48% (115/238) |
| Return Pts W% | 49% (1176/2379) | 45% (926/2046) |
| 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 | 58% (11/8) | 63% (20/12) |
| Futures W/L | 75% (9/3) | 0% (0/0) |
| Best of 3 Sets W% | 65% (20/31) | 65% (20/31) |
| Best of 5 Sets W% | 0% (0/0) | 0% (0/1) |
| TBs Win% (Total) | 67% (8/12) | 67% (4/6) |
| Deciding Set W% | 69% (9/13) | 67% (6/9) |
| 1st set W, W | 93% (14/13) | 86% (21/18) |
| 1st set W, L | 7% (14/1) | 14% (21/3) |
| 1st set L, W | 41% (17/7) | 18% (11/2) |
Gina Feistel Recent Matches Played
Before:
| opponent | Score | H2H | |||
|---|---|---|---|---|---|
| R1 |
Stats
Ylena In-Albon
Player
Gina Feistel
60%
(
26 of
43)
1st Serve %
76%
(
42 of
55)
-
Aces
-
4
Double Faults
3
65%
(
17 of
26)
1st Serve Won
43%
(
18 of
42)
53%
(
9 of
17)
2nd Serve Won
38%
(
5 of
13)
60%
(
6 of
10)
Break Points Won
67%
(
2 of
3)
40%
(
17 of
43)
Rtn Points Won
58%
(
32 of
55)
58
Total Points Won
40
|
6-1 6-4 | H2H | ||
| QF |
Stats
Raluca Georgiana Serban
Player
Gina Feistel
72%
(
52 of
72)
1st Serve %
73%
(
51 of
70)
1
Aces
0
2
Double Faults
1
62%
(
32 of
52)
1st Serve Won
53%
(
27 of
51)
40%
(
8 of
20)
2nd Serve Won
42%
(
8 of
19)
67%
(
6 of
9)
Break Points Won
50%
(
3 of
6)
44%
(
32 of
72)
Rtn Points Won
50%
(
35 of
70)
75
Total Points Won
67
|
6-2 3-6 6-1 | H2H | ||
| R2 |
Stats
Gina Feistel
Player
Ekaterina Makarova (1996)
83%
(
48 of
58)
1st Serve %
68%
(
32 of
47)
-
Aces
-
1
Double Faults
2
58%
(
28 of
48)
1st Serve Won
44%
(
14 of
32)
70%
(
7 of
10)
2nd Serve Won
33%
(
5 of
15)
50%
(
5 of
10)
Break Points Won
67%
(
2 of
3)
40%
(
23 of
58)
Rtn Points Won
60%
(
28 of
47)
63
Total Points Won
42
|
6-4 6-1 | H2H | ||
| R1 |
Stats
Gina Feistel
Player
Nastasja Mariana Schunk
82%
(
83 of
101)
1st Serve %
57%
(
47 of
82)
0
Aces
1
0
Double Faults
5
52%
(
43 of
83)
1st Serve Won
49%
(
23 of
47)
50%
(
9 of
18)
2nd Serve Won
31%
(
11 of
35)
67%
(
8 of
12)
Break Points Won
55%
(
6 of
11)
49%
(
49 of
101)
Rtn Points Won
59%
(
48 of
82)
100
Total Points Won
83
|
4-6 6-3 6-2 | H2H | ||
| QF |
Stats
Gina Feistel
Player
Tilwith Di Girolami
67%
(
70 of
105)
1st Serve %
77%
(
89 of
116)
1
Aces
0
5
Double Faults
3
60%
(
42 of
70)
1st Serve Won
55%
(
49 of
89)
46%
(
16 of
35)
2nd Serve Won
48%
(
13 of
27)
36%
(
5 of
14)
Break Points Won
29%
(
6 of
21)
45%
(
47 of
105)
Rtn Points Won
47%
(
54 of
116)
112
Total Points Won
109
|
2-6 6-4 7-6(3) | H2H | ||
| Q1 |
Stats
Gina Feistel
Player
Sarafina Olivia Hansen
71%
(
29 of
41)
1st Serve %
43%
(
16 of
37)
1
Aces
0
1
Double Faults
7
69%
(
20 of
29)
1st Serve Won
25%
(
4 of
16)
67%
(
8 of
12)
2nd Serve Won
29%
(
6 of
21)
60%
(
6 of
10)
Break Points Won
0%
(
0 of
2)
32%
(
13 of
41)
Rtn Points Won
73%
(
27 of
37)
55
Total Points Won
23
|
6-0 6-0 | H2H | ||
| QF |
Stats
Anouk Koevermans
Player
Gina Feistel
69%
(
91 of
132)
1st Serve %
71%
(
69 of
97)
-
Aces
-
4
Double Faults
1
51%
(
46 of
91)
1st Serve Won
45%
(
31 of
69)
44%
(
18 of
41)
2nd Serve Won
54%
(
15 of
28)
57%
(
8 of
14)
Break Points Won
50%
(
9 of
18)
52%
(
68 of
132)
Rtn Points Won
53%
(
51 of
97)
115
Total Points Won
114
|
7-6(8) 3-6 6-4 | H2H | ||
| R3 |
Stats
Gina Feistel
Player
Vivian Wolff
77%
(
48 of
62)
1st Serve %
65%
(
40 of
62)
-
Aces
-
4
Double Faults
5
63%
(
30 of
48)
1st Serve Won
50%
(
20 of
40)
43%
(
6 of
14)
2nd Serve Won
27%
(
6 of
22)
50%
(
6 of
12)
Break Points Won
44%
(
4 of
9)
42%
(
26 of
62)
Rtn Points Won
58%
(
36 of
62)
72
Total Points Won
52
|
6-4 6-3 | H2H | ||
| R1 |
Stats
Gina Feistel
Player
Victoria Kan
64%
(
39 of
61)
1st Serve %
63%
(
59 of
93)
-
Aces
-
4
Double Faults
0
67%
(
26 of
39)
1st Serve Won
54%
(
32 of
59)
45%
(
10 of
22)
2nd Serve Won
41%
(
14 of
34)
45%
(
5 of
11)
Break Points Won
50%
(
3 of
6)
41%
(
25 of
61)
Rtn Points Won
51%
(
47 of
93)
83
Total Points Won
71
|
7-6(3) 6-3 | H2H | ||
| R2 |
Stats
Gina Feistel
Player
Valeriya Strakhova
63%
(
34 of
54)
1st Serve %
62%
(
31 of
50)
1
Aces
0
3
Double Faults
3
56%
(
19 of
34)
1st Serve Won
39%
(
12 of
31)
65%
(
13 of
20)
2nd Serve Won
42%
(
8 of
19)
60%
(
6 of
10)
Break Points Won
50%
(
3 of
6)
41%
(
22 of
54)
Rtn Points Won
60%
(
30 of
50)
62
Total Points Won
42
|
6-2 6-3 | H2H | ||
view more
Kayla Cross Recent Matches Played
Before:
| opponent | Score | H2H | |||
|---|---|---|---|---|---|
| QF |
Stats
Ema Burgic Bucko
Player
Kayla Cross
60%
(
70 of
117)
1st Serve %
59%
(
71 of
121)
0
Aces
3
14
Double Faults
11
67%
(
47 of
70)
1st Serve Won
55%
(
39 of
71)
32%
(
15 of
47)
2nd Serve Won
38%
(
19 of
50)
47%
(
9 of
19)
Break Points Won
43%
(
6 of
14)
47%
(
55 of
117)
Rtn Points Won
52%
(
63 of
121)
125
Total Points Won
113
|
6-7(5) 6-1 7-5 | H2H | ||
| Q1 |
Stats
Kayla Cross
Player
Alicia Herrero Linana
75%
(
41 of
55)
1st Serve %
69%
(
41 of
59)
2
Aces
0
2
Double Faults
1
73%
(
30 of
41)
1st Serve Won
51%
(
21 of
41)
50%
(
7 of
14)
2nd Serve Won
50%
(
9 of
18)
57%
(
4 of
7)
Break Points Won
33%
(
1 of
3)
33%
(
18 of
55)
Rtn Points Won
49%
(
29 of
59)
66
Total Points Won
48
|
6-0 7-6(5) | H2H | ||
| SF |
Stats
Kajsa Rinaldo Persson
Player
Kayla Cross
71%
(
51 of
72)
1st Serve %
56%
(
37 of
66)
-
Aces
-
4
Double Faults
3
57%
(
29 of
51)
1st Serve Won
49%
(
18 of
37)
52%
(
11 of
21)
2nd Serve Won
41%
(
12 of
29)
70%
(
7 of
10)
Break Points Won
40%
(
4 of
10)
44%
(
32 of
72)
Rtn Points Won
55%
(
36 of
66)
76
Total Points Won
62
|
2-6 6-1 6-1 | H2H | ||
| QF |
Stats
Kayla Cross
Player
Melany Solange Krywoj
67%
(
64 of
96)
1st Serve %
60%
(
40 of
67)
3
Aces
0
5
Double Faults
6
61%
(
39 of
64)
1st Serve Won
65%
(
26 of
40)
59%
(
19 of
32)
2nd Serve Won
33%
(
9 of
27)
36%
(
4 of
11)
Break Points Won
8%
(
1 of
12)
40%
(
38 of
96)
Rtn Points Won
48%
(
32 of
67)
90
Total Points Won
73
|
7-5 6-2 | H2H | ||
| R2 |
Stats
Kayla Cross
Player
Jada Robinson
65%
(
64 of
98)
1st Serve %
66%
(
64 of
97)
2
Aces
0
12
Double Faults
1
73%
(
47 of
64)
1st Serve Won
59%
(
38 of
64)
44%
(
15 of
34)
2nd Serve Won
55%
(
18 of
33)
50%
(
3 of
6)
Break Points Won
33%
(
3 of
9)
37%
(
36 of
98)
Rtn Points Won
42%
(
41 of
97)
103
Total Points Won
92
|
6-3 2-6 6-4 | H2H | ||
| R1 |
Stats
Kayla Cross
Player
Sophia Webster
74%
(
34 of
46)
1st Serve %
68%
(
49 of
72)
-
Aces
-
2
Double Faults
2
79%
(
27 of
34)
1st Serve Won
43%
(
21 of
49)
33%
(
4 of
12)
2nd Serve Won
61%
(
14 of
23)
36%
(
5 of
14)
Break Points Won
67%
(
2 of
3)
33%
(
15 of
46)
Rtn Points Won
51%
(
37 of
72)
68
Total Points Won
50
|
6-4 6-2 | H2H | ||
| QF |
Stats
Sophie Chang
Player
Kayla Cross
61%
(
43 of
71)
1st Serve %
67%
(
59 of
88)
1
Aces
1
5
Double Faults
8
74%
(
32 of
43)
1st Serve Won
64%
(
38 of
59)
57%
(
16 of
28)
2nd Serve Won
38%
(
11 of
29)
25%
(
3 of
12)
Break Points Won
67%
(
2 of
3)
32%
(
23 of
71)
Rtn Points Won
44%
(
39 of
88)
87
Total Points Won
72
|
6-4 7-6(5) | H2H | ||
| Q1 |
Stats
Kayla Cross
Player
Carolina Bohrer Martins
55%
(
41 of
74)
1st Serve %
59%
(
40 of
68)
1
Aces
0
9
Double Faults
8
71%
(
29 of
41)
1st Serve Won
58%
(
23 of
40)
39%
(
13 of
33)
2nd Serve Won
32%
(
9 of
28)
60%
(
6 of
10)
Break Points Won
40%
(
4 of
10)
43%
(
32 of
74)
Rtn Points Won
53%
(
36 of
68)
78
Total Points Won
64
|
7-6(4) 6-1 | H2H | ||
| QF |
Stats
Kajsa Rinaldo Persson
Player
Kayla Cross
73%
(
33 of
45)
1st Serve %
59%
(
26 of
44)
-
Aces
-
1
Double Faults
5
73%
(
24 of
33)
1st Serve Won
58%
(
15 of
26)
75%
(
9 of
12)
2nd Serve Won
39%
(
7 of
18)
100%
(
4 of
4)
Break Points Won
0%
(
0 of
0)
27%
(
12 of
45)
Rtn Points Won
50%
(
22 of
44)
55
Total Points Won
34
|
6-2 6-2 | H2H | ||
| R2 |
Stats
Kayla Cross
Player
Jada Robinson
65%
(
60 of
92)
1st Serve %
50%
(
51 of
102)
2
Aces
1
10
Double Faults
1
68%
(
41 of
60)
1st Serve Won
63%
(
32 of
51)
53%
(
17 of
32)
2nd Serve Won
53%
(
27 of
51)
50%
(
4 of
8)
Break Points Won
57%
(
4 of
7)
37%
(
34 of
92)
Rtn Points Won
42%
(
43 of
102)
101
Total Points Won
93
|
7-6(3) 2-6 6-2 | H2H | ||
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Feistel Vs Cross Prediction H2H Images To Share
More tennis photos of Feistel are available here and Cross photos here.
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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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