Predictions
Matches
Calendar
H2H
Rankings
Picks Blog
Sumit Nagal vs Jason Jung 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 Nagal vs Jung analysis and find out who is favored!
Sumit Nagal vs Jason Jung Important H2H Prediction Stats:
Head-to-head: Nagal 1 - 0 Jung
- Second serve performance recent form: In recent form (last 6 months), Nagal has won 54.79% of points on their second serve, while Jung has won 55.2%. There is a high correlation between this stat and match prediction accuracy.
- Return game stats recent form: Return stats show Nagal, in recent form, has won 54.26% of their opponent's second serve points, while Jung has won 52.11%. The same stats for first serve returns are 32.3% and 30.71% respectively and this has a high correlation to pick who is favored in this H2H matchup.
- Under pressure analysis: Nagal has saved 64.73% of breakpoints in recent form, whereas Jung has saved 72% which is a useful statistic for in-game betting predictions.
- Performance overview: Over the last year Nagal has won 61.11% of matches played (W/L 44/ 28), with Jung winning 57.14% (W/L 20/ 15) that gives us an overall head-to head prediction overview.
- Best surface: Nagal has their best career surface win % on Clay, winning 63% (W/L 219/ 127), and worse career win % on Grass, winning 0% (W/L 0/ 1). Jung has their best career surface win % on Hard, winning 58% (W/L 307/ 218), and worse career win % on Grass, winning 43% (W/L 20/ 26).
- Player level: In the last year, Nagal has played most of their matches on the Challengers/ITF tournaments > $10K, winning 67.35% of matches (W/L 33/ 16), where as Jung has played most of their matches on the Challengers/ITF tournaments > $10K, winning 61.54% of matches (W/L 16/ 10). 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 Nagal winning 1 times and Jung being victorious 0 times. They have played 3 sets in total, with Nagal winning 2 and Jung winning 1. The last match between Nagal and Jung was at the Chennai Challenger, 16-02-2023, Second, Hard with Sumit Nagal getting the victory 3-6 6-2 6-0.
- Head to head match duration: In past head to head matches, the average match time between these players has been 1:56:50.
- Deciding set H2H prediction: Nagal and Jung have played a deciding set 1 times, with Nagal winning 1 times and Jung 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 Nagal winning 0, and Jung 0.
- Opponent quality stats: Over the last 12 months, Nagal has played against opponents with an average rank of 254.83 while Jung has played against players with an average rank of 317.89.
- Deciding set performance vs all players: If you are interested in live predictions and betting, if this match goes into a deciding set, Nagal has won 45% of deciding sets over the last 12 months, while Jung has won 58% in all matches played on tour.
- Break point conversion: In recent form, Nagal has converted 45.83% of breakpoint opportunities, and Jung has converted 37.5% 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)
77
Rank
77
High
26
Age
R
Plays
1
Total0
1
Hard0
0
Clay0
0
Indoor0
0
Grass0
333
Rank
114
High
34
Age
R
Plays
W
L
L
L
L
W
W
W
W
W
Form
W
W
L
L
W
L
W
W
W
L
61% (322-207)
Career Total W/L
56% (412-327)
64% (23-13)
YTD W/L
67% (4-2)
$434,190
Career Prize Money
$350,585
2
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 Sumit Nagal vs Jason Jung 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 Nagal VS Jung
Sportsbook
Offer
| stats | Sumit Nagal | Jason Jung |
|---|---|---|
| All H2H Matches | 1 | 0 |
| Sets Won | 2 | 1 |
| Games Won | 15 | 8 |
| Aces (Total) | 2 | 2 |
| DFs (Total) | 3 | 1 |
| Avg Match Time | 1:56:50 | 1:56:50 |
| 1st Serve % | 74% (52/70) | 63% (43/68) |
| 1st Serve Win% | 67% (35/52) | 51% (22/43) |
| 2nd Serve Win% | 50% (9/18) | 48% (12/25) |
| BPs Won% (Total) | 86% (6/7) | 40% (2/5) |
| Return Points W% | 50% (34/68) | 37% (26/70) |
| 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% | 100% (1/1) | 0% (0/1) |
| 1st set W, W | 0% (0/0) | 0% (1/0) |
| 1st set W, L | 0% (0/0) | 100% (1/1) |
| 1st set L, W | 100% (1/1) | 0% (0/0) |
| Winning Player | Losing Player | Score | |||
|---|---|---|---|---|---|
| 3-6 6-2 6-0 |
Stats 
Sumit Nagal
Player
Jason Jung
74%
(
52 of
70)
1st Serve %
63%
(
43 of
68)
2
Aces
2
3
Double Faults
1
67%
(
35 of
52)
1st Serve Won
51%
(
22 of
43)
50%
(
9 of
18)
2nd Serve Won
48%
(
12 of
25)
86%
(
6 of
7)
Break Points Won
40%
(
2 of
5)
37%
(
26 of
70)
Rtn Points Won
50%
(
34 of
68)
78
Total Points Won
60
|
||||
Stats Breakdown Vs All H2H Opponents
| stats | Sumit Nagal | Jason Jung |
|---|---|---|
| YTD W/L | 64% (23/13) | 67% (4/2) |
| Sets Win/Loss | 62% (54/33) | 67% (8/4) |
| Games Win/Loss | 55% (449/374) | 55% (64/52) |
| Hard Win/Loss | 64% (14/8) | 67% (4/2) |
| Clay Win/Loss | 64% (9/5) | 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 | 0.39 |
| Aces Total | 63 | 22 |
| DFs per game | 0.13 | 0.18 |
| DFs Total | 51 | 10 |
| Avg Match Time | 1:55:11 | 1:26:41 |
| Avg Opp Rank | 226 | 330.67 |
| 1st Serve % | 70% (1869/2663) | 65% (233/358) |
| 1st Serve W% | 67% (1245/1869) | 72% (168/233) |
| 2nd Serve W% | 55% (435/794) | 55% (69/125) |
| BPs Won% Total | 46% (121/264) | 38% (15/40) |
| Return Pts W% | 41% (1066/2630) | 39% (148/383) |
| Slam W/L | 67% (4/2) | 0% (0/0) |
| Masters W/L | 50% (4/4) | 0% (0/0) |
| Cups W/L | 0% (0/0) | 0% (0/0) |
| Main Tour W/L | 25% (1/3) | 0% (0/0) |
| Tour Finals W/L | 0% (0/0) | 0% (0/0) |
| Challenger W/L | 78% (14/4) | 67% (4/2) |
| Futures W/L | 0% (0/0) | 0% (0/0) |
| Best of 3 Sets W% | 67% (22/33) | 67% (4/6) |
| Best of 5 Sets W% | 33% (1/3) | 0% (0/0) |
| TBs Win% (Total) | 50% (5/10) | 50% (1/2) |
| Deciding Set W% | 45% (5/11) | 0% (0/0) |
| 1st set W, W | 81% (26/21) | 100% (4/4) |
| 1st set W, L | 19% (26/5) | 0% (4/0) |
| 1st set L, W | 20% (10/2) | 0% (2/0) |
Sumit Nagal Recent Matches Played
Before:
| opponent | Score | H2H | |||
|---|---|---|---|---|---|
| F |
Stats
Sumit Nagal
Player
Alexander Ritschard
72%
(
77 of
107)
1st Serve %
57%
(
51 of
90)
1
Aces
1
1
Double Faults
5
64%
(
49 of
77)
1st Serve Won
59%
(
30 of
51)
50%
(
15 of
30)
2nd Serve Won
44%
(
17 of
39)
40%
(
6 of
15)
Break Points Won
23%
(
3 of
13)
40%
(
43 of
107)
Rtn Points Won
48%
(
43 of
90)
107
Total Points Won
90
|
6-1 6-7(5) 6-3 | H2H | ||
| SF |
Stats
Sumit Nagal
Player
Luca Van Assche
68%
(
55 of
81)
1st Serve %
55%
(
41 of
74)
0
Aces
2
2
Double Faults
6
69%
(
38 of
55)
1st Serve Won
71%
(
29 of
41)
42%
(
11 of
26)
2nd Serve Won
30%
(
10 of
33)
36%
(
5 of
14)
Break Points Won
33%
(
3 of
9)
40%
(
32 of
81)
Rtn Points Won
47%
(
35 of
74)
84
Total Points Won
71
|
6-2 7-6(5) | H2H | ||
| QF |
Stats
Sumit Nagal
Player
Ivan Gakhov
84%
(
47 of
56)
1st Serve %
63%
(
39 of
62)
1
Aces
0
1
Double Faults
3
70%
(
33 of
47)
1st Serve Won
51%
(
20 of
39)
67%
(
6 of
9)
2nd Serve Won
57%
(
13 of
23)
100%
(
4 of
4)
Break Points Won
33%
(
1 of
3)
30%
(
17 of
56)
Rtn Points Won
47%
(
29 of
62)
68
Total Points Won
50
|
6-1 7-6(4) | H2H | ||
| R2 |
Stats
Sumit Nagal
Player
Javier Barranco Cosano
60%
(
28 of
47)
1st Serve %
61%
(
44 of
72)
2
Aces
1
1
Double Faults
4
79%
(
22 of
28)
1st Serve Won
55%
(
24 of
44)
58%
(
11 of
19)
2nd Serve Won
43%
(
12 of
28)
29%
(
5 of
17)
Break Points Won
25%
(
1 of
4)
30%
(
14 of
47)
Rtn Points Won
50%
(
36 of
72)
69
Total Points Won
50
|
6-4 6-1 | H2H | ||
| R1 |
Stats
Sumit Nagal
Player
Nikoloz Basilashvili
63%
(
52 of
82)
1st Serve %
43%
(
30 of
70)
4
Aces
2
3
Double Faults
2
62%
(
32 of
52)
1st Serve Won
63%
(
19 of
30)
57%
(
17 of
30)
2nd Serve Won
48%
(
19 of
40)
71%
(
5 of
7)
Break Points Won
36%
(
4 of
11)
40%
(
33 of
82)
Rtn Points Won
46%
(
32 of
70)
81
Total Points Won
71
|
6-2 1-6 6-3 | H2H | ||
| R1 |
Stats
Karen Khachanov
Player
Sumit Nagal
64%
(
63 of
99)
1st Serve %
73%
(
64 of
88)
8
Aces
0
2
Double Faults
4
76%
(
48 of
63)
1st Serve Won
59%
(
38 of
64)
50%
(
18 of
36)
2nd Serve Won
38%
(
9 of
24)
46%
(
6 of
13)
Break Points Won
11%
(
1 of
9)
33%
(
33 of
99)
Rtn Points Won
47%
(
41 of
88)
107
Total Points Won
80
|
6-2 6-0 7-6(5) | H2H | ||
| R1 |
Stats
Sebastian Baez
Player
Sumit Nagal
77%
(
55 of
71)
1st Serve %
73%
(
43 of
59)
2
Aces
0
1
Double Faults
0
73%
(
40 of
55)
1st Serve Won
70%
(
30 of
43)
63%
(
10 of
16)
2nd Serve Won
63%
(
10 of
16)
67%
(
2 of
3)
Break Points Won
100%
(
1 of
1)
30%
(
21 of
71)
Rtn Points Won
32%
(
19 of
59)
69
Total Points Won
61
|
7-6(7) 6-3 | H2H | ||
| R1 |
Stats
Harold Mayot
Player
Sumit Nagal
58%
(
29 of
50)
1st Serve %
61%
(
28 of
46)
4
Aces
0
3
Double Faults
1
66%
(
19 of
29)
1st Serve Won
39%
(
11 of
28)
67%
(
14 of
21)
2nd Serve Won
50%
(
9 of
18)
83%
(
5 of
6)
Break Points Won
25%
(
1 of
4)
34%
(
17 of
50)
Rtn Points Won
57%
(
26 of
46)
59
Total Points Won
37
|
6-2 6-2 | H2H | ||
| R2 |
Stats
Holger Rune
Player
Sumit Nagal
54%
(
38 of
70)
1st Serve %
63%
(
55 of
88)
3
Aces
0
3
Double Faults
5
82%
(
31 of
38)
1st Serve Won
62%
(
34 of
55)
56%
(
18 of
32)
2nd Serve Won
45%
(
15 of
33)
45%
(
5 of
11)
Break Points Won
43%
(
3 of
7)
30%
(
21 of
70)
Rtn Points Won
44%
(
39 of
88)
88
Total Points Won
70
|
6-3 3-6 6-2 | H2H | ||
| R1 |
Stats
Sumit Nagal
Player
Matteo Arnaldi
64%
(
64 of
100)
1st Serve %
55%
(
53 of
97)
1
Aces
6
1
Double Faults
6
55%
(
35 of
64)
1st Serve Won
68%
(
36 of
53)
72%
(
26 of
36)
2nd Serve Won
43%
(
19 of
44)
67%
(
6 of
9)
Break Points Won
44%
(
4 of
9)
39%
(
39 of
100)
Rtn Points Won
43%
(
42 of
97)
103
Total Points Won
94
|
5-7 6-2 6-4 | H2H | ||
view more
Jason Jung Recent Matches Played
Before:
| opponent | Score | H2H | |||
|---|---|---|---|---|---|
| SF |
Stats
Matteo Gigante
Player
Jason Jung
61%
(
42 of
69)
1st Serve %
68%
(
41 of
60)
13
Aces
4
5
Double Faults
2
81%
(
34 of
42)
1st Serve Won
73%
(
30 of
41)
52%
(
14 of
27)
2nd Serve Won
42%
(
8 of
19)
40%
(
2 of
5)
Break Points Won
0%
(
0 of
1)
30%
(
21 of
69)
Rtn Points Won
37%
(
22 of
60)
70
Total Points Won
59
|
6-3 7-5 | H2H | ||
| QF |
Stats
Jason Jung
Player
Ryan Peniston
63%
(
40 of
63)
1st Serve %
53%
(
27 of
51)
3
Aces
5
0
Double Faults
1
75%
(
30 of
40)
1st Serve Won
74%
(
20 of
27)
57%
(
13 of
23)
2nd Serve Won
54%
(
13 of
24)
75%
(
3 of
4)
Break Points Won
0%
(
0 of
2)
32%
(
20 of
63)
Rtn Points Won
35%
(
18 of
51)
61
Total Points Won
53
|
6-4 6-3 | H2H | ||
| R2 |
Stats
Jason Jung
Player
Aziz Dougaz
60%
(
42 of
70)
1st Serve %
56%
(
45 of
80)
2
Aces
10
4
Double Faults
4
76%
(
32 of
42)
1st Serve Won
78%
(
35 of
45)
57%
(
16 of
28)
2nd Serve Won
40%
(
14 of
35)
17%
(
2 of
12)
Break Points Won
50%
(
1 of
2)
31%
(
22 of
70)
Rtn Points Won
39%
(
31 of
80)
79
Total Points Won
71
|
6-4 7-6(4) | H2H | ||
| R1 |
Stats
Jason Jung
Player
Maximus Jones
70%
(
31 of
44)
1st Serve %
60%
(
27 of
45)
4
Aces
4
1
Double Faults
2
71%
(
22 of
31)
1st Serve Won
52%
(
14 of
27)
62%
(
8 of
13)
2nd Serve Won
33%
(
6 of
18)
71%
(
5 of
7)
Break Points Won
0%
(
0 of
3)
32%
(
14 of
44)
Rtn Points Won
56%
(
25 of
45)
55
Total Points Won
34
|
6-2 6-1 | H2H | ||
| R2 |
Stats
Manuel Guinard
Player
Jason Jung
65%
(
47 of
72)
1st Serve %
66%
(
45 of
68)
9
Aces
6
3
Double Faults
2
79%
(
37 of
47)
1st Serve Won
67%
(
30 of
45)
52%
(
13 of
25)
2nd Serve Won
57%
(
13 of
23)
33%
(
3 of
9)
Break Points Won
17%
(
1 of
6)
31%
(
22 of
72)
Rtn Points Won
37%
(
25 of
68)
75
Total Points Won
65
|
6-1 7-6(7) | H2H | ||
| R1 |
Stats
Jason Jung
Player
Nick Hardt
64%
(
34 of
53)
1st Serve %
80%
(
53 of
66)
3
Aces
0
1
Double Faults
0
71%
(
24 of
34)
1st Serve Won
51%
(
27 of
53)
58%
(
11 of
19)
2nd Serve Won
62%
(
8 of
13)
40%
(
4 of
10)
Break Points Won
25%
(
1 of
4)
34%
(
18 of
53)
Rtn Points Won
47%
(
31 of
66)
66
Total Points Won
53
|
6-4 6-2 | H2H | ||
| R1 |
Stats
Yuta Shimizu
Player
Jason Jung
66%
(
39 of
59)
1st Serve %
72%
(
53 of
74)
5
Aces
1
2
Double Faults
0
82%
(
32 of
39)
1st Serve Won
57%
(
30 of
53)
50%
(
10 of
20)
2nd Serve Won
48%
(
10 of
21)
50%
(
4 of
8)
Break Points Won
67%
(
2 of
3)
29%
(
17 of
59)
Rtn Points Won
46%
(
34 of
74)
76
Total Points Won
57
|
6-4 7-5 | H2H | ||
| QF | 6-4 6-3 | H2H | |||
| R2 |
Stats
Jason Jung
Player
Yunseong Chung
62%
(
56 of
90)
1st Serve %
64%
(
65 of
101)
1
Aces
4
4
Double Faults
2
54%
(
30 of
56)
1st Serve Won
62%
(
40 of
65)
56%
(
19 of
34)
2nd Serve Won
25%
(
9 of
36)
47%
(
7 of
15)
Break Points Won
36%
(
4 of
11)
46%
(
41 of
90)
Rtn Points Won
51%
(
52 of
101)
101
Total Points Won
90
|
6-7(2) 6-3 4-1 ret. | H2H | ||
| R1 |
Stats
Jason Jung
Player
Zdenek Kolar
65%
(
48 of
74)
1st Serve %
55%
(
43 of
78)
2
Aces
1
2
Double Faults
2
67%
(
32 of
48)
1st Serve Won
58%
(
25 of
43)
50%
(
13 of
26)
2nd Serve Won
51%
(
18 of
35)
67%
(
4 of
6)
Break Points Won
38%
(
3 of
8)
39%
(
29 of
74)
Rtn Points Won
45%
(
35 of
78)
80
Total Points Won
72
|
6-4 7-6(4) | H2H | ||
view more
Nagal Vs Jung Prediction H2H Images To Share
More tennis photos of Nagal are available here and Jung photos here.
Potential H2H Matches This Week For Sumit Nagal
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]
