Predictions
Matches
Calendar
H2H
Rankings
Picks Blog
Gabriella Price vs Roosh Wijesundera 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 Price vs Wijesundera analysis and find out who is favored!
Gabriella Price vs Roosh Wijesundera Important H2H Prediction Stats:
- Second serve performance recent form: In recent form (last 6 months), Price has won 38.18% of points on his second serve, while Wijesundera has won 0%. There is a high correlation between this stat and match prediction accuracy.
- Return game stats recent form: Return stats show Price, in recent form, has won 49.72% of his opponent's second serve points, while Wijesundera has won 0%. The same stats for first serve returns are 38.64% and 0% respectively and this has a high correlation to pick who is favored in this H2H matchup.
- Under pressure analysis: Price has saved 50% of breakpoints in recent form, whereas Wijesundera has saved 0% which is a useful statistic for in-game betting predictions.
- Performance overview: Over the last year Price has won 34.62% of matches played (W/L 9/ 17), with Wijesundera winning 0% (W/L 0/ 0) that gives us an overall head-to head prediction overview.
- Best surface: Price has their best career surface win % on Hard, winning 45% (W/L 35/ 43), and worse career win % on I.hard, winning 0% (W/L 0/ 1). Wijesundera has their best career surface win % on , winning % (W/L / ), and worse career win % on , winning % (W/L / ).
- Player level: In the last year, Price has played most of their matches on the Challengers/ITF tournaments > $10K, winning 34.78% of matches (W/L 8/ 15), where as Wijesundera 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, Price has played against opponents with an average rank of 96.77 while Wijesundera 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, Price has won 38% of deciding sets over the last 12 months, while Wijesundera has won 0% in all matches played on tour.
- Break point conversion: In recent form, Price has converted 37.93% of breakpoint opportunities, and Wijesundera 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: Price 0 - 0 Wijesundera
820
Rank
654
High
20
Age
Plays
0
Total0
0
Hard0
0
Clay0
0
Indoor0
0
Grass0
N/A
Rank
High
32
Age
Plays
L
L
W
L
L
L
L
L
W
L
Form
41% (50-71)
Career Total W/L
0% (0-0)
17% (1-5)
YTD W/L
0% (0-0)
$2,305
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.
Price VS Wijesundera H2h Matches played
No H2H Matches Available
Stats Breakdown Vs All H2H Opponents
| stats | Gabriella Price | Roosh Wijesundera |
|---|---|---|
| YTD W/L | 17% (1/5) | 0% (0/0) |
| Sets Win/Loss | 27% (4/11) | 0% (0/0) |
| Games Win/Loss | 42% (59/81) | 0% (0/0) |
| Hard Win/Loss | 0% (0/2) | 0% (0/0) |
| Clay Win/Loss | 25% (1/3) | 0% (0/0) |
| Indoor Hard W/L | 0% (0/0) | 0% (0/0) |
| Grass Win/Loss | 0% (0/0) | 0% (0/0) |
| Aces pg | 0.16 | 0 |
| Aces Total | 11 | 0 |
| DFs per game | 0.16 | 0 |
| DFs Total | 11 | 0 |
| Avg Match Time | 1:42:30 | 1st Match |
| Avg Opp Rank | 230.83 | 0 |
| 1st Serve % | 68% (249/364) | 0% (0/0) |
| 1st Serve W% | 51% (126/249) | 0% (0/0) |
| 2nd Serve W% | 40% (46/115) | 0% (0/0) |
| BPs Won% Total | 35% (15/43) | 0% (0/0) |
| Return Pts W% | 43% (151/351) | 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 | 17% (1/5) | 0% (0/0) |
| Futures W/L | 0% (0/0) | 0% (0/0) |
| Best of 3 Sets W% | 17% (1/6) | 0% (0/0) |
| Best of 5 Sets W% | 0% (0/0) | 0% (0/0) |
| TBs Win% (Total) | 0% (0/1) | 0% (0/0) |
| Deciding Set W% | 33% (1/3) | 0% (0/0) |
| 1st set W, W | 0% (1/0) | 0% (0/0) |
| 1st set W, L | 100% (1/1) | 0% (0/0) |
| 1st set L, W | 20% (5/1) | 0% (0/0) |
Gabriella Price Recent Matches Played
Before:
| opponent | Score | H2H | |||
|---|---|---|---|---|---|
| QF |
Stats 
Hiroko Kuwata
Player
Gabriella Price
56%
(
38 of
68)
1st Serve %
57%
(
31 of
54)
0
Aces
3
2
Double Faults
3
55%
(
21 of
38)
1st Serve Won
55%
(
17 of
31)
63%
(
19 of
30)
2nd Serve Won
39%
(
9 of
23)
83%
(
5 of
6)
Break Points Won
22%
(
2 of
9)
41%
(
28 of
68)
Rtn Points Won
52%
(
28 of
54)
68
Total Points Won
54
|
6-4 6-3 | H2H | ||
| Q1 | 4-6 6-0 10-8 | H2H | |||
| Q1 |
Stats
Georgia Gulin
Player
Gabriella Price
65%
(
40 of
62)
1st Serve %
79%
(
59 of
75)
1
Aces
4
7
Double Faults
2
68%
(
27 of
40)
1st Serve Won
54%
(
32 of
59)
45%
(
10 of
22)
2nd Serve Won
44%
(
7 of
16)
56%
(
5 of
9)
Break Points Won
75%
(
3 of
4)
40%
(
25 of
62)
Rtn Points Won
48%
(
36 of
75)
73
Total Points Won
64
|
1-6 6-3 6-1 | H2H | ||
| Q1 |
Stats
Julieta Estable
Player
Gabriella Price
75%
(
47 of
63)
1st Serve %
74%
(
58 of
78)
0
Aces
2
1
Double Faults
0
60%
(
28 of
47)
1st Serve Won
48%
(
28 of
58)
44%
(
7 of
16)
2nd Serve Won
35%
(
7 of
20)
41%
(
7 of
17)
Break Points Won
36%
(
4 of
11)
44%
(
28 of
63)
Rtn Points Won
55%
(
43 of
78)
78
Total Points Won
63
|
6-3 6-4 | H2H | ||
| R1 |
Stats
Nahia Berecoechea
Player
Gabriella Price
52%
(
24 of
46)
1st Serve %
63%
(
27 of
43)
0
Aces
1
5
Double Faults
2
67%
(
16 of
24)
1st Serve Won
30%
(
8 of
27)
50%
(
11 of
22)
2nd Serve Won
25%
(
4 of
16)
88%
(
7 of
8)
Break Points Won
14%
(
1 of
7)
41%
(
19 of
46)
Rtn Points Won
72%
(
31 of
43)
58
Total Points Won
31
|
6-0 6-1 | H2H | ||
| R1 |
Stats
Daniela Seguel
Player
Gabriella Price
71%
(
79 of
112)
1st Serve %
65%
(
74 of
114)
1
Aces
1
6
Double Faults
4
57%
(
45 of
79)
1st Serve Won
55%
(
41 of
74)
48%
(
16 of
33)
2nd Serve Won
48%
(
19 of
40)
39%
(
7 of
18)
Break Points Won
42%
(
5 of
12)
46%
(
51 of
112)
Rtn Points Won
47%
(
54 of
114)
115
Total Points Won
111
|
6-1 5-7 7-6(5) | H2H | ||
| QF |
Stats
Amelia Rajecki
Player
Gabriella Price
55%
(
27 of
49)
1st Serve %
58%
(
29 of
50)
7
Aces
1
5
Double Faults
0
85%
(
23 of
27)
1st Serve Won
55%
(
16 of
29)
50%
(
11 of
22)
2nd Serve Won
43%
(
9 of
21)
50%
(
4 of
8)
Break Points Won
100%
(
1 of
1)
31%
(
15 of
49)
Rtn Points Won
50%
(
25 of
50)
59
Total Points Won
40
|
6-2 6-3 | H2H | ||
| Q1 |
Stats
Gabriella Price
Player
Jennifer Jackson
67%
(
58 of
87)
1st Serve %
60%
(
53 of
89)
2
Aces
1
12
Double Faults
6
69%
(
40 of
58)
1st Serve Won
55%
(
29 of
53)
28%
(
8 of
29)
2nd Serve Won
47%
(
17 of
36)
43%
(
6 of
14)
Break Points Won
33%
(
4 of
12)
45%
(
39 of
87)
Rtn Points Won
48%
(
43 of
89)
91
Total Points Won
85
|
1-6 6-0 7-5 | H2H | ||
| Q1 |
Stats
Jiangxue Han
Player
Gabriella Price
75%
(
39 of
52)
1st Serve %
82%
(
36 of
44)
0
Aces
2
3
Double Faults
2
69%
(
27 of
39)
1st Serve Won
39%
(
14 of
36)
62%
(
8 of
13)
2nd Serve Won
50%
(
4 of
8)
63%
(
5 of
8)
Break Points Won
0%
(
0 of
4)
33%
(
17 of
52)
Rtn Points Won
59%
(
26 of
44)
61
Total Points Won
35
|
6-0 6-2 | H2H | ||
| R1 |
Stats
Salma Ewing
Player
Gabriella Price
64%
(
74 of
116)
1st Serve %
65%
(
66 of
102)
1
Aces
1
6
Double Faults
7
61%
(
45 of
74)
1st Serve Won
52%
(
34 of
66)
40%
(
17 of
42)
2nd Serve Won
33%
(
12 of
36)
64%
(
9 of
14)
Break Points Won
40%
(
6 of
15)
47%
(
54 of
116)
Rtn Points Won
55%
(
56 of
102)
118
Total Points Won
100
|
6-7(7) 6-4 6-2 | H2H | ||
view more
Roosh Wijesundera Recent Matches Played
Before:
No Past Matches Available
Price Vs Wijesundera 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
