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Sumit Nagal vs Mats Moraing 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 Moraing analysis and find out who is favored!
Sumit Nagal vs Mats Moraing Important H2H Prediction Stats:
- Second serve performance recent form: In recent form (last 6 months), Nagal has won 55.61% of points on his second serve, while Moraing has won 54.9%. 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 54.03% of his opponent's second serve points, while Moraing has won 51.52%. The same stats for first serve returns are 32.87% and 41.67% respectively and this has a high correlation to pick who is favored in this H2H matchup.
- Under pressure analysis: Nagal has saved 64.63% of breakpoints in recent form, whereas Moraing has saved 50% which is a useful statistic for in-game betting predictions.
- Performance overview: Over the last year Nagal has won 64.71% of matches played (W/L 55/ 30), with Moraing winning 47.06% (W/L 8/ 9) 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 214/ 124), and worse career win % on Grass, winning 0% (W/L 0/ 1). Moraing has their best career surface win % on I.hard, winning 61% (W/L 88/ 56), and worse career win % on Grass, winning 30% (W/L 6/ 14).
- Player level: In the last year, Nagal has played most of their matches on the Challengers/ITF tournaments > $10K, winning 68.75% of matches (W/L 44/ 20), where as Moraing has played most of their matches on the Challengers/ITF tournaments > $10K, winning 44.44% of matches (W/L 4/ 5). 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 Nagal winning 2 times. They have played 7 sets in total, with Nagal winning 4 and Moraing winning 3. The last match between Nagal and Moraing was at the Mauthausen Challenger, 07-05-2023, Q1 round, Clay with Sumit Nagal getting the victory .
- Head to head match duration: In past head to head matches, the average match time between these players has been 1:33:10.
- Deciding set H2H prediction: Nagal and Moraing have played a deciding set 1 times, with Nagal winning 1 times and Moraing 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 Moraing 0.
- Opponent quality stats: Over the last 12 months, Nagal has played against opponents with an average rank of 284.86 while Moraing has played against players with an average rank of 336.06.
- 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 46% of deciding sets over the last 12 months, while Moraing has won 25% in all matches played on tour.
- Break point conversion: In recent form, Nagal has converted 47.19% of breakpoint opportunities, and Moraing has converted 47.62% 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: Nagal 2 - 1 Moraing
80
Rank
80
High
26
Age
R
Plays
2
Total1
0
Hard0
2
Clay1
0
Indoor0
0
Grass0
867
Rank
116
High
31
Age
L
Plays
W
L
L
L
W
L
W
W
W
L
Form
W
L
L
L
W
L
W
W
L
L
61% (317-204)
Career Total W/L
59% (358-246)
64% (18-10)
YTD W/L
0% (0-0)
$434,190
Career Prize Money
$150,765
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.
| stats | Sumit Nagal | Mats Moraing |
|---|---|---|
| All H2H Matches | 2 | 1 |
| Sets Won | 4 | 3 |
| Games Won | 35 | 26 |
| Aces (Total) | 7 | 20 |
| DFs (Total) | 10 | 7 |
| Avg Match Time | 1:33:10 | 1:33:10 |
| 1st Serve % | 64% (133/207) | 51% (99/196) |
| 1st Serve Win% | 68% (91/133) | 64% (63/99) |
| 2nd Serve Win% | 53% (39/74) | 46% (45/97) |
| BPs Won% (Total) | 50% (10/20) | 33% (6/18) |
| Return Points W% | 45% (88/196) | 37% (77/207) |
| Best of 3 Sets W% | 67% (2/3) | 33% (1/3) |
| 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) | 100% (1/1) |
| 1st set W, L | 0% (2/0) | 0% (1/0) |
| 1st set L, W | 0% (1/0) | 0% (2/0) |
| Winning Player | Losing Player | Score | |||
|---|---|---|---|---|---|
| 6-0 4-6 6-4 |
Stats 
Sumit Nagal
Player
Mats Moraing
74%
(
81 of
109)
1st Serve %
51%
(
38 of
75)
1
Aces
7
4
Double Faults
2
63%
(
51 of
81)
1st Serve Won
63%
(
24 of
38)
54%
(
15 of
28)
2nd Serve Won
43%
(
16 of
37)
71%
(
5 of
7)
Break Points Won
15%
(
2 of
13)
39%
(
43 of
109)
Rtn Points Won
47%
(
35 of
75)
101
Total Points Won
83
|
||||
| 6-1 4-2 ret. |
Stats
Sumit Nagal
Player
Mats Moraing
46%
(
17 of
37)
1st Serve %
49%
(
17 of
35)
2
Aces
2
4
Double Faults
1
82%
(
14 of
17)
1st Serve Won
41%
(
7 of
17)
60%
(
12 of
20)
2nd Serve Won
44%
(
8 of
18)
57%
(
4 of
7)
Break Points Won
50%
(
1 of
2)
30%
(
11 of
37)
Rtn Points Won
57%
(
20 of
35)
46
Total Points Won
26
|
||||
| 6-4 7-5 |
Stats
Mats Moraing
Player
Sumit Nagal
51%
(
44 of
86)
1st Serve %
57%
(
35 of
61)
11
Aces
4
4
Double Faults
2
73%
(
32 of
44)
1st Serve Won
74%
(
26 of
35)
50%
(
21 of
42)
2nd Serve Won
46%
(
12 of
26)
100%
(
3 of
3)
Break Points Won
17%
(
1 of
6)
38%
(
33 of
86)
Rtn Points Won
38%
(
23 of
61)
76
Total Points Won
71
|
||||
Stats Breakdown Vs All H2H Opponents
| stats | Sumit Nagal | Mats Moraing |
|---|---|---|
| YTD W/L | 64% (18/10) | 0% (0/0) |
| Sets Win/Loss | 65% (44/24) | 0% (0/0) |
| Games Win/Loss | 55% (359/288) | 0% (0/0) |
| Hard Win/Loss | 64% (14/8) | 0% (0/0) |
| Clay Win/Loss | 67% (4/2) | 0% (0/0) |
| Indoor Hard W/L | 0% (0/0) | 0% (0/0) |
| Grass Win/Loss | 0% (0/0) | 0% (0/0) |
| Aces pg | 0.17 | 0 |
| Aces Total | 55 | 0 |
| DFs per game | 0.12 | 0 |
| DFs Total | 38 | 0 |
| Avg Match Time | 1:56:56 | 1st Match |
| Avg Opp Rank | 214.64 | 0 |
| 1st Serve % | 70% (1475/2097) | 0% (0/0) |
| 1st Serve W% | 67% (992/1475) | 0% (0/0) |
| 2nd Serve W% | 56% (347/622) | 0% (0/0) |
| BPs Won% Total | 48% (93/193) | 0% (0/0) |
| Return Pts W% | 40% (820/2042) | 0% (0/0) |
| Slam W/L | 80% (4/1) | 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 | 33% (1/2) | 0% (0/0) |
| Tour Finals W/L | 0% (0/0) | 0% (0/0) |
| Challenger W/L | 75% (9/3) | 0% (0/0) |
| Futures W/L | 0% (0/0) | 0% (0/0) |
| Best of 3 Sets W% | 65% (17/26) | 0% (0/0) |
| Best of 5 Sets W% | 50% (1/2) | 0% (0/0) |
| TBs Win% (Total) | 60% (3/5) | 0% (0/0) |
| Deciding Set W% | 33% (3/9) | 0% (0/0) |
| 1st set W, W | 76% (21/16) | 0% (0/0) |
| 1st set W, L | 24% (21/5) | 0% (0/0) |
| 1st set L, W | 29% (7/2) | 0% (0/0) |
Sumit Nagal Recent Matches Played
Before:
| opponent | Score | 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 | ||
| QF |
Stats
Sumit Nagal
Player
Facundo Diaz Acosta
70%
(
59 of
84)
1st Serve %
67%
(
56 of
84)
0
Aces
1
0
Double Faults
3
63%
(
37 of
59)
1st Serve Won
57%
(
32 of
56)
44%
(
11 of
25)
2nd Serve Won
54%
(
15 of
28)
67%
(
6 of
9)
Break Points Won
71%
(
5 of
7)
43%
(
36 of
84)
Rtn Points Won
44%
(
37 of
84)
85
Total Points Won
83
|
7-5 2-6 6-2 | H2H | ||
| Q1 |
Stats
Sumit Nagal
Player
Flavio Cobolli
73%
(
52 of
71)
1st Serve %
63%
(
24 of
38)
1
Aces
4
2
Double Faults
0
71%
(
37 of
52)
1st Serve Won
58%
(
14 of
24)
42%
(
8 of
19)
2nd Serve Won
50%
(
7 of
14)
100%
(
3 of
3)
Break Points Won
0%
(
0 of
5)
37%
(
26 of
71)
Rtn Points Won
45%
(
17 of
38)
62
Total Points Won
47
|
6-2 6-3 | H2H | ||
| R2 |
Stats
Lorenzo Sonego
Player
Sumit Nagal
58%
(
43 of
74)
1st Serve %
73%
(
62 of
85)
4
Aces
2
2
Double Faults
0
79%
(
34 of
43)
1st Serve Won
65%
(
40 of
62)
58%
(
18 of
31)
2nd Serve Won
74%
(
17 of
23)
25%
(
2 of
8)
Break Points Won
50%
(
2 of
4)
30%
(
22 of
74)
Rtn Points Won
33%
(
28 of
85)
80
Total Points Won
79
|
1-6 6-3 6-4 | H2H | ||
| R1 |
Stats
Sumit Nagal
Player
Corentin Moutet
74%
(
66 of
89)
1st Serve %
80%
(
53 of
66)
6
Aces
3
0
Double Faults
2
67%
(
44 of
66)
1st Serve Won
70%
(
37 of
53)
70%
(
16 of
23)
2nd Serve Won
62%
(
8 of
13)
60%
(
3 of
5)
Break Points Won
14%
(
1 of
7)
33%
(
29 of
89)
Rtn Points Won
32%
(
21 of
66)
81
Total Points Won
74
|
4-6 6-3 6-2 | H2H | ||
| QF |
Stats
Chak Lam Coleman Wong
Player
Sumit Nagal
64%
(
60 of
94)
1st Serve %
70%
(
70 of
100)
16
Aces
2
5
Double Faults
1
85%
(
51 of
60)
1st Serve Won
64%
(
45 of
70)
32%
(
11 of
34)
2nd Serve Won
53%
(
16 of
30)
33%
(
3 of
9)
Break Points Won
20%
(
1 of
5)
34%
(
32 of
94)
Rtn Points Won
39%
(
39 of
100)
101
Total Points Won
93
|
3-6 6-1 7-5 | H2H | ||
| R1 |
Stats
Milos Raonic
Player
Sumit Nagal
51%
(
34 of
67)
1st Serve %
60%
(
38 of
63)
9
Aces
0
4
Double Faults
2
76%
(
26 of
34)
1st Serve Won
63%
(
24 of
38)
52%
(
17 of
33)
2nd Serve Won
48%
(
12 of
25)
25%
(
3 of
12)
Break Points Won
0%
(
0 of
2)
36%
(
24 of
67)
Rtn Points Won
43%
(
27 of
63)
70
Total Points Won
60
|
6-3 6-3 | H2H | ||
| QF |
Stats
Seong Chan Hong
Player
Sumit Nagal
59%
(
54 of
92)
1st Serve %
76%
(
65 of
85)
8
Aces
4
2
Double Faults
3
70%
(
38 of
54)
1st Serve Won
74%
(
48 of
65)
53%
(
20 of
38)
2nd Serve Won
35%
(
7 of
20)
43%
(
3 of
7)
Break Points Won
33%
(
3 of
9)
37%
(
34 of
92)
Rtn Points Won
35%
(
30 of
85)
88
Total Points Won
89
|
2-6 6-2 7-6(4) | H2H | ||
| Q1 |
Stats
Sumit Nagal
Player
Stefan Dostanic
61%
(
27 of
44)
1st Serve %
56%
(
34 of
61)
0
Aces
4
1
Double Faults
3
78%
(
21 of
27)
1st Serve Won
59%
(
20 of
34)
65%
(
11 of
17)
2nd Serve Won
41%
(
11 of
27)
50%
(
4 of
8)
Break Points Won
0%
(
0 of
0)
27%
(
12 of
44)
Rtn Points Won
49%
(
30 of
61)
62
Total Points Won
43
|
6-2 6-2 | H2H | ||
view more
Mats Moraing Recent Matches Played
Before:
| opponent | Score | H2H | |||
|---|---|---|---|---|---|
| R1 |
Stats
Boris Butulija
Player
Mats Moraing
70%
(
33 of
47)
1st Serve %
63%
(
24 of
38)
7
Aces
3
3
Double Faults
1
70%
(
23 of
33)
1st Serve Won
67%
(
16 of
24)
50%
(
7 of
14)
2nd Serve Won
43%
(
6 of
14)
40%
(
2 of
5)
Break Points Won
50%
(
1 of
2)
36%
(
17 of
47)
Rtn Points Won
42%
(
16 of
38)
46
Total Points Won
39
|
7-5 1-0 ret. | H2H | ||
| SF |
Stats
Evgeny Philippov
Player
Mats Moraing
76%
(
19 of
25)
1st Serve %
50%
(
10 of
20)
0
Aces
1
0
Double Faults
1
63%
(
12 of
19)
1st Serve Won
70%
(
7 of
10)
83%
(
5 of
6)
2nd Serve Won
20%
(
2 of
10)
67%
(
2 of
3)
Break Points Won
0%
(
0 of
2)
32%
(
8 of
25)
Rtn Points Won
55%
(
11 of
20)
28
Total Points Won
17
|
6-1 ret. | H2H | ||
| QF | w/o | H2H | |||
| R2 |
Stats
Mats Moraing
Player
Niklas Schell
70%
(
19 of
27)
1st Serve %
72%
(
34 of
47)
4
Aces
3
0
Double Faults
2
89%
(
17 of
19)
1st Serve Won
41%
(
14 of
34)
88%
(
7 of
8)
2nd Serve Won
23%
(
3 of
13)
75%
(
6 of
8)
Break Points Won
0%
(
0 of
0)
11%
(
3 of
27)
Rtn Points Won
64%
(
30 of
47)
54
Total Points Won
20
|
6-0 6-1 | H2H | ||
| R1 |
Stats
Mats Moraing
Player
Tomas Lanik
58%
(
26 of
45)
1st Serve %
51%
(
34 of
67)
12
Aces
5
1
Double Faults
4
88%
(
23 of
26)
1st Serve Won
62%
(
21 of
34)
68%
(
13 of
19)
2nd Serve Won
52%
(
17 of
33)
33%
(
3 of
9)
Break Points Won
0%
(
0 of
0)
20%
(
9 of
45)
Rtn Points Won
43%
(
29 of
67)
65
Total Points Won
47
|
6-4 6-3 | H2H | ||
| QF |
Stats
Remy Bertola
Player
Mats Moraing
61%
(
17 of
28)
1st Serve %
29%
(
8 of
28)
2
Aces
2
1
Double Faults
2
59%
(
10 of
17)
1st Serve Won
88%
(
7 of
8)
73%
(
8 of
11)
2nd Serve Won
45%
(
9 of
20)
100%
(
2 of
2)
Break Points Won
100%
(
1 of
1)
36%
(
10 of
28)
Rtn Points Won
43%
(
12 of
28)
30
Total Points Won
26
|
6-4 ret. | H2H | ||
| Q1 |
Stats
Mats Moraing
Player
Federico Iannaccone
55%
(
48 of
88)
1st Serve %
59%
(
49 of
83)
11
Aces
3
5
Double Faults
6
75%
(
36 of
48)
1st Serve Won
78%
(
38 of
49)
53%
(
21 of
40)
2nd Serve Won
44%
(
15 of
34)
57%
(
4 of
7)
Break Points Won
40%
(
2 of
5)
35%
(
31 of
88)
Rtn Points Won
36%
(
30 of
83)
87
Total Points Won
84
|
6-2 4-6 6-4 | H2H | ||
| R1 |
Stats
Alberto Romero De Avila Senise
Player
Mats Moraing
64%
(
25 of
39)
1st Serve %
68%
(
32 of
47)
2
Aces
2
2
Double Faults
3
60%
(
15 of
25)
1st Serve Won
63%
(
20 of
32)
36%
(
5 of
14)
2nd Serve Won
47%
(
7 of
15)
33%
(
1 of
3)
Break Points Won
75%
(
3 of
4)
49%
(
19 of
39)
Rtn Points Won
43%
(
20 of
47)
40
Total Points Won
46
|
3-6 1-2 ret. | H2H | ||
| QF |
Stats
Marvin Moeller
Player
Mats Moraing
62%
(
79 of
128)
1st Serve %
59%
(
70 of
119)
0
Aces
9
5
Double Faults
4
67%
(
53 of
79)
1st Serve Won
70%
(
49 of
70)
47%
(
23 of
49)
2nd Serve Won
43%
(
21 of
49)
46%
(
6 of
13)
Break Points Won
33%
(
4 of
12)
41%
(
52 of
128)
Rtn Points Won
41%
(
49 of
119)
125
Total Points Won
122
|
6-7(2) 7-5 6-4 | H2H | ||
| QF |
Stats
Daniel Masur
Player
Mats Moraing
53%
(
28 of
53)
1st Serve %
48%
(
24 of
50)
5
Aces
5
6
Double Faults
7
82%
(
23 of
28)
1st Serve Won
63%
(
15 of
24)
60%
(
15 of
25)
2nd Serve Won
27%
(
7 of
26)
44%
(
4 of
9)
Break Points Won
0%
(
0 of
5)
28%
(
15 of
53)
Rtn Points Won
56%
(
28 of
50)
66
Total Points Won
37
|
6-1 6-2 | H2H | ||
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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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