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Jessica Pegula vs Gail Brodsky 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 Pegula vs Brodsky analysis and find out who is favored!
Jessica Pegula vs Gail Brodsky Important H2H Prediction Stats:
Head-to-head: Pegula 1 - 2 Brodsky
- Second serve performance recent form: In recent form (last 6 months), Pegula has won 48.1% of points on their second serve, while Brodsky has won 0%. There is a high correlation between this stat and match prediction accuracy.
- Return game stats recent form: Return stats show Pegula, in recent form, has won 57.42% of their opponent's second serve points, while Brodsky has won 0%. The same stats for first serve returns are 38.71% and 0% respectively and this has a high correlation to pick who is favored in this H2H matchup.
- Under pressure analysis: Pegula has saved 58.79% of breakpoints in recent form, whereas Brodsky has saved 0% which is a useful statistic for in-game betting predictions.
- Performance overview: Over the last year Pegula has won 75% of matches played (W/L 45/ 15), with Brodsky winning 0% (W/L 0/ 0) that gives us an overall head-to head prediction overview.
- Best surface: Pegula has their best career surface win % on Hard, winning 66% (W/L 233/ 121), and worse career win % on Grass, winning 56% (W/L 24/ 19). Brodsky has their best career surface win % on I.hard, winning 67% (W/L 22/ 11), and worse career win % on Grass, winning 50% (W/L 4/ 4).
- Player level: In the last year, Pegula has played most of their matches on the Main tour, winning 75% of matches (W/L 21/ 7), where as Brodsky 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.
- Direct H2H matches: They have played 3 times before with Pegula winning 1 times and Brodsky being victorious 2 times. They have played 7 sets in total, with Pegula winning 3 and Brodsky winning 4. The last match between Pegula and Brodsky was at the Landisville, 10-08-2018, Quarterfinals, Hard with Jessica Pegula getting the victory 6-2 6-4.
- Head to head match duration: In past head to head matches, the average match time between these players has been 0:26:20.
- Deciding set H2H prediction: Pegula and Brodsky have played a deciding set 1 times, with Pegula winning 0 times and Brodsky 1 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 Pegula winning 0, and Brodsky 1.
- Opponent quality stats: Over the last 12 months, Pegula has played against opponents with an average rank of 86.22 while Brodsky 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, Pegula has won 68% of deciding sets over the last 12 months, while Brodsky has won 0% in all matches played on tour.
- Break point conversion: In recent form, Pegula has converted 45.7% of breakpoint opportunities, and Brodsky 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)
5
Rank
3
High
30
Age
R
Plays
1
Total2
1
Hard1
0
Clay1
0
Indoor0
0
Grass0
Ret.
Rank
182
High
33
Age
Plays
W
L
W
W
W
L
W
W
W
L
Form
L
W
L
L
W
W
L
W
L
L
63% (409-236)
Career Total W/L
57% (146-110)
68% (15-7)
YTD W/L
0% (0-0)
$8,331,386
Career Prize Money
$33,595
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.
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| stats | Jessica Pegula | Gail Brodsky |
|---|---|---|
| All H2H Matches | 1 | 2 |
| Sets Won | 3 | 4 |
| Games Won | 30 | 33 |
| Aces (Total) | 8 | 2 |
| DFs (Total) | 1 | 6 |
| Avg Match Time | 0:26:20 | 0:26:20 |
| 1st Serve % | 66% (42/64) | 59% (39/66) |
| 1st Serve Win% | 71% (30/42) | 54% (21/39) |
| 2nd Serve Win% | 45% (10/22) | 44% (12/27) |
| BPs Won% (Total) | 33% (4/12) | 14% (1/7) |
| Return Points W% | 50% (33/66) | 38% (24/64) |
| Best of 3 Sets W% | 33% (1/3) | 67% (2/3) |
| Best of 5 Sets W% | 0% (0/0) | 0% (0/0) |
| TBs Win% (Total) | 0% (0/1) | 100% (1/1) |
| Deciding Set Win% | 0% (0/1) | 100% (1/1) |
| 1st set W, W | 100% (1/1) | 100% (2/2) |
| 1st set W, L | 0% (1/0) | 0% (2/0) |
| 1st set L, W | 0% (2/0) | 0% (1/0) |
| Winning Player | Losing Player | Score | |||
|---|---|---|---|---|---|
| 6-2 6-4 |
Stats 
Jessica Pegula
Player
Gail Brodsky
66%
(
42 of
64)
1st Serve %
59%
(
39 of
66)
8
Aces
2
1
Double Faults
6
71%
(
30 of
42)
1st Serve Won
54%
(
21 of
39)
45%
(
10 of
22)
2nd Serve Won
44%
(
12 of
27)
33%
(
4 of
12)
Break Points Won
14%
(
1 of
7)
38%
(
24 of
64)
Rtn Points Won
50%
(
33 of
66)
73
Total Points Won
57
|
||||
| 7-6(3) 6-1 | |||||
| 6-1 2-6 6-4 | |||||
Stats Breakdown Vs All H2H Opponents
| stats | Jessica Pegula | Gail Brodsky |
|---|---|---|
| YTD W/L | 68% (15/7) | 0% (0/0) |
| Sets Win/Loss | 64% (35/20) | 0% (0/0) |
| Games Win/Loss | 55% (292/239) | 0% (0/0) |
| Hard Win/Loss | 69% (11/5) | 0% (0/0) |
| Clay Win/Loss | 75% (3/1) | 0% (0/0) |
| Indoor Hard W/L | 0% (0/0) | 0% (0/0) |
| Grass Win/Loss | 50% (1/1) | 0% (0/0) |
| Aces pg | 0.22 | 0 |
| Aces Total | 57 | 0 |
| DFs per game | 0.16 | 0 |
| DFs Total | 43 | 0 |
| Avg Match Time | 1:46:48 | 1st Match |
| Avg Opp Rank | 84.36 | 0 |
| 1st Serve % | 60% (1039/1723) | 0% (0/0) |
| 1st Serve W% | 67% (698/1039) | 0% (0/0) |
| 2nd Serve W% | 48% (329/684) | 0% (0/0) |
| BPs Won% Total | 46% (101/221) | 0% (0/0) |
| Return Pts W% | 46% (819/1790) | 0% (0/0) |
| Slam W/L | 50% (1/1) | 0% (0/0) |
| Masters W/L | 60% (3/2) | 0% (0/0) |
| Cups W/L | 100% (2/0) | 0% (0/0) |
| Main Tour W/L | 69% (9/4) | 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% | 68% (15/22) | 0% (0/0) |
| Best of 5 Sets W% | 0% (0/0) | 0% (0/0) |
| TBs Win% (Total) | 56% (5/9) | 0% (0/0) |
| Deciding Set W% | 55% (6/11) | 0% (0/0) |
| 1st set W, W | 85% (13/11) | 0% (0/0) |
| 1st set W, L | 15% (13/2) | 0% (0/0) |
| 1st set L, W | 44% (9/4) | 0% (0/0) |
Jessica Pegula Recent Matches Played
Before:
| opponent | Score | H2H | |||
|---|---|---|---|---|---|
| R2 |
Stats
Aleksandra Krunic
Player
Jessica Pegula
57%
(
69 of
121)
1st Serve %
62%
(
79 of
128)
0
Aces
5
3
Double Faults
2
81%
(
56 of
69)
1st Serve Won
66%
(
52 of
79)
46%
(
24 of
52)
2nd Serve Won
59%
(
29 of
49)
21%
(
3 of
14)
Break Points Won
29%
(
2 of
7)
34%
(
41 of
121)
Rtn Points Won
37%
(
47 of
128)
127
Total Points Won
122
|
7-6(3) 6-7(3) 6-4 | H2H | ||
| R1 |
Stats
Jessica Pegula
Player
Aliaksandra Sasnovich
68%
(
30 of
44)
1st Serve %
65%
(
33 of
51)
0
Aces
1
1
Double Faults
4
73%
(
22 of
30)
1st Serve Won
45%
(
15 of
33)
57%
(
8 of
14)
2nd Serve Won
44%
(
8 of
18)
71%
(
5 of
7)
Break Points Won
100%
(
1 of
1)
32%
(
14 of
44)
Rtn Points Won
55%
(
28 of
51)
58
Total Points Won
37
|
6-2 6-2 | H2H | ||
| Rubber 3 |
Stats
Jessica Pegula
Player
Hanne Vandewinkel
61%
(
20 of
33)
1st Serve %
63%
(
29 of
46)
1
Aces
3
0
Double Faults
3
95%
(
19 of
20)
1st Serve Won
52%
(
15 of
29)
77%
(
10 of
13)
2nd Serve Won
29%
(
5 of
17)
63%
(
5 of
8)
Break Points Won
0%
(
0 of
1)
12%
(
4 of
33)
Rtn Points Won
57%
(
26 of
46)
55
Total Points Won
24
|
6-2 6-0 | H2H | ||
| Rubber 1 |
Stats
Jessica Pegula
Player
Sofia Costoulas
40%
(
35 of
88)
1st Serve %
58%
(
66 of
113)
0
Aces
4
3
Double Faults
9
71%
(
25 of
35)
1st Serve Won
53%
(
35 of
66)
47%
(
25 of
53)
2nd Serve Won
43%
(
20 of
47)
35%
(
7 of
20)
Break Points Won
40%
(
4 of
10)
43%
(
38 of
88)
Rtn Points Won
51%
(
58 of
113)
108
Total Points Won
93
|
4-6 6-2 6-3 | H2H | ||
| SF |
Stats
Daria Kasatkina
Player
Jessica Pegula
71%
(
73 of
103)
1st Serve %
60%
(
75 of
125)
2
Aces
2
2
Double Faults
2
52%
(
38 of
73)
1st Serve Won
60%
(
45 of
75)
43%
(
13 of
30)
2nd Serve Won
38%
(
19 of
50)
62%
(
8 of
13)
Break Points Won
73%
(
8 of
11)
50%
(
52 of
103)
Rtn Points Won
49%
(
61 of
125)
112
Total Points Won
116
|
6-4 4-6 7-6(5) | H2H | ||
| QF |
Stats
Jessica Pegula
Player
Victoria Azarenka
73%
(
70 of
96)
1st Serve %
62%
(
72 of
117)
2
Aces
1
0
Double Faults
12
63%
(
44 of
70)
1st Serve Won
63%
(
45 of
72)
42%
(
11 of
26)
2nd Serve Won
44%
(
20 of
45)
25%
(
5 of
20)
Break Points Won
42%
(
5 of
12)
43%
(
41 of
96)
Rtn Points Won
44%
(
52 of
117)
107
Total Points Won
106
|
6-4 3-6 7-6(7) | H2H | ||
| R3 |
Stats
Jessica Pegula
Player
Magda Linette
55%
(
22 of
40)
1st Serve %
68%
(
30 of
44)
2
Aces
2
0
Double Faults
1
82%
(
18 of
22)
1st Serve Won
60%
(
18 of
30)
78%
(
14 of
18)
2nd Serve Won
29%
(
4 of
14)
80%
(
4 of
5)
Break Points Won
0%
(
0 of
0)
20%
(
8 of
40)
Rtn Points Won
50%
(
22 of
44)
54
Total Points Won
30
|
6-2 6-2 | H2H | ||
| R2 |
Stats
Jessica Pegula
Player
Amanda Anisimova
58%
(
55 of
95)
1st Serve %
63%
(
80 of
126)
7
Aces
3
3
Double Faults
6
71%
(
39 of
55)
1st Serve Won
58%
(
46 of
80)
48%
(
19 of
40)
2nd Serve Won
48%
(
22 of
46)
27%
(
4 of
15)
Break Points Won
50%
(
4 of
8)
39%
(
37 of
95)
Rtn Points Won
46%
(
58 of
126)
116
Total Points Won
105
|
3-6 6-4 7-6(3) | H2H | ||
| QF |
Stats
Ekaterina Alexandrova
Player
Jessica Pegula
60%
(
56 of
94)
1st Serve %
67%
(
53 of
79)
3
Aces
1
7
Double Faults
3
79%
(
44 of
56)
1st Serve Won
66%
(
35 of
53)
34%
(
13 of
38)
2nd Serve Won
62%
(
16 of
26)
50%
(
4 of
8)
Break Points Won
44%
(
4 of
9)
39%
(
37 of
94)
Rtn Points Won
35%
(
28 of
79)
85
Total Points Won
88
|
3-6 6-4 6-4 | H2H | ||
| R4 |
Stats
Jessica Pegula
Player
Emma Navarro
64%
(
50 of
78)
1st Serve %
67%
(
40 of
60)
4
Aces
1
0
Double Faults
0
66%
(
33 of
50)
1st Serve Won
58%
(
23 of
40)
61%
(
17 of
28)
2nd Serve Won
65%
(
13 of
20)
50%
(
3 of
6)
Break Points Won
25%
(
2 of
8)
36%
(
28 of
78)
Rtn Points Won
40%
(
24 of
60)
74
Total Points Won
64
|
7-6(1) 6-3 | H2H | ||
view more
Gail Brodsky Recent Matches Played
Before:
| opponent | Score | H2H | |||
|---|---|---|---|---|---|
| R1 |
Stats
Junri Namigata
Player
Gail Brodsky
55%
(
26 of
47)
1st Serve %
37%
(
16 of
43)
3
Aces
0
5
Double Faults
3
73%
(
19 of
26)
1st Serve Won
50%
(
8 of
16)
33%
(
7 of
21)
2nd Serve Won
48%
(
13 of
27)
50%
(
3 of
6)
Break Points Won
18%
(
2 of
11)
45%
(
21 of
47)
Rtn Points Won
51%
(
22 of
43)
48
Total Points Won
42
|
7-5 ret. | H2H | ||
| R2 |
Stats
Katie Swan
Player
Gail Brodsky
56%
(
23 of
41)
1st Serve %
47%
(
27 of
58)
8
Aces
3
1
Double Faults
6
78%
(
18 of
23)
1st Serve Won
52%
(
14 of
27)
50%
(
9 of
18)
2nd Serve Won
32%
(
10 of
31)
46%
(
6 of
13)
Break Points Won
100%
(
1 of
1)
34%
(
14 of
41)
Rtn Points Won
59%
(
34 of
58)
61
Total Points Won
38
|
6-1 6-2 | H2H | ||
| R1 |
Stats
Gail Brodsky
Player
En Shuo Liang
60%
(
27 of
45)
1st Serve %
61%
(
28 of
46)
4
Aces
4
4
Double Faults
2
74%
(
20 of
27)
1st Serve Won
57%
(
16 of
28)
61%
(
11 of
18)
2nd Serve Won
33%
(
6 of
18)
71%
(
5 of
7)
Break Points Won
100%
(
1 of
1)
31%
(
14 of
45)
Rtn Points Won
52%
(
24 of
46)
55
Total Points Won
36
|
6-0 6-4 | H2H | ||
| QF |
Stats
Madison Brengle
Player
Gail Brodsky
74%
(
32 of
43)
1st Serve %
51%
(
26 of
51)
1
Aces
0
0
Double Faults
3
63%
(
20 of
32)
1st Serve Won
54%
(
14 of
26)
91%
(
10 of
11)
2nd Serve Won
32%
(
8 of
25)
45%
(
5 of
11)
Break Points Won
50%
(
1 of
2)
30%
(
13 of
43)
Rtn Points Won
57%
(
29 of
51)
59
Total Points Won
35
|
6-0 6-4 | H2H | ||
| R2 |
Stats
Gail Brodsky
Player
Hiroko Kuwata
48%
(
51 of
107)
1st Serve %
73%
(
79 of
108)
8
Aces
1
4
Double Faults
1
73%
(
37 of
51)
1st Serve Won
59%
(
47 of
79)
41%
(
23 of
56)
2nd Serve Won
38%
(
11 of
29)
70%
(
7 of
10)
Break Points Won
35%
(
6 of
17)
44%
(
47 of
107)
Rtn Points Won
46%
(
50 of
108)
110
Total Points Won
105
|
6-4 5-7 7-5 | H2H | ||
| R1 |
Stats
Gail Brodsky
Player
Abbie Myers
51%
(
29 of
57)
1st Serve %
61%
(
38 of
62)
4
Aces
4
0
Double Faults
5
69%
(
20 of
29)
1st Serve Won
55%
(
21 of
38)
61%
(
17 of
28)
2nd Serve Won
58%
(
14 of
24)
50%
(
4 of
8)
Break Points Won
25%
(
1 of
4)
35%
(
20 of
57)
Rtn Points Won
44%
(
27 of
62)
64
Total Points Won
55
|
6-3 6-3 | H2H | ||
| R1 |
Stats
Mai Hontama
Player
Gail Brodsky
68%
(
36 of
53)
1st Serve %
49%
(
27 of
55)
0
Aces
1
2
Double Faults
6
58%
(
21 of
36)
1st Serve Won
44%
(
12 of
27)
47%
(
8 of
17)
2nd Serve Won
32%
(
9 of
28)
64%
(
7 of
11)
Break Points Won
57%
(
4 of
7)
45%
(
24 of
53)
Rtn Points Won
62%
(
34 of
55)
63
Total Points Won
45
|
6-4 6-3 | H2H | ||
| R2 |
Stats
Gergana Topalova
Player
Gail Brodsky
54%
(
20 of
37)
1st Serve %
53%
(
20 of
38)
5
Aces
1
3
Double Faults
5
90%
(
18 of
20)
1st Serve Won
60%
(
12 of
20)
59%
(
10 of
17)
2nd Serve Won
22%
(
4 of
18)
83%
(
5 of
6)
Break Points Won
0%
(
0 of
0)
24%
(
9 of
37)
Rtn Points Won
58%
(
22 of
38)
50
Total Points Won
25
|
6-1 6-1 | H2H | ||
| R1 |
Stats
Gail Brodsky
Player
Haley Giavara
46%
(
31 of
67)
1st Serve %
69%
(
47 of
68)
3
Aces
0
6
Double Faults
4
74%
(
23 of
31)
1st Serve Won
53%
(
25 of
47)
50%
(
18 of
36)
2nd Serve Won
43%
(
9 of
21)
42%
(
5 of
12)
Break Points Won
60%
(
3 of
5)
39%
(
26 of
67)
Rtn Points Won
50%
(
34 of
68)
75
Total Points Won
60
|
6-2 7-6(4) | H2H | ||
| R1 |
Stats
Natalija Stevanovic
Player
Gail Brodsky
63%
(
48 of
76)
1st Serve %
49%
(
39 of
80)
9
Aces
2
7
Double Faults
6
67%
(
32 of
48)
1st Serve Won
56%
(
22 of
39)
39%
(
11 of
28)
2nd Serve Won
41%
(
17 of
41)
50%
(
7 of
14)
Break Points Won
33%
(
4 of
12)
43%
(
33 of
76)
Rtn Points Won
51%
(
41 of
80)
84
Total Points Won
72
|
6-1 3-6 6-3 | H2H | ||
view more
Pegula Vs Brodsky Prediction H2H Images To Share
More tennis photos of Pegula are available here and Brodsky photos here.
Potential H2H Matches This Week For Jessica Pegula
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.
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