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Sumit Nagal vs Orlando Luz 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 Luz analysis and find out who is favored!
Sumit Nagal vs Orlando Luz 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 Luz has won 50.51%. 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 Luz has won 47.93%. The same stats for first serve returns are 32.87% and 33.6% 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 Luz has saved 62.56% which is a useful statistic for in-game betting predictions.
- Performance overview: Over the last year Nagal has won 63.86% of matches played (W/L 53/ 30), with Luz winning 60.32% (W/L 38/ 25) 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). Luz has their best career surface win % on Clay, winning 63% (W/L 303/ 176), and worse career win % on I.hard, winning 0% (W/L 0/ 2).
- Player level: In the last year, Nagal has played most of their matches on the Challengers/ITF tournaments > $10K, winning 67.74% of matches (W/L 42/ 20), where as Luz has played most of their matches on the Challengers/ITF tournaments > $10K, winning 55.56% of matches (W/L 30/ 24). 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 2 times before with Nagal winning 1 times. They have played 4 sets in total, with Nagal winning 2 and Luz winning 2. The last match between Nagal and Luz was at the Lima Challenger, 22-10-2019, Second, Clay with Orlando Luz getting the victory .
- Head to head match duration: In past head to head matches, the average match time between these players has been 1:27:28.
- Deciding set H2H prediction: Nagal and Luz have played a deciding set 0 times, with Nagal winning 0 times and Luz 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 Luz 0.
- Opponent quality stats: Over the last 12 months, Nagal has played against opponents with an average rank of 279.72 while Luz has played against players with an average rank of 258.05.
- 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 Luz has won 44% in all matches played on tour.
- Break point conversion: In recent form, Nagal has converted 47.19% of breakpoint opportunities, and Luz has converted 40.81% 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 1 - 1 Luz
80
Rank
80
High
26
Age
R
Plays
1
Total1
0
Hard0
1
Clay1
0
Indoor0
0
Grass0
321
Rank
272
High
26
Age
R
Plays
W
L
L
L
W
L
W
W
W
L
Form
W
W
L
W
W
L
W
W
L
L
61% (317-204)
Career Total W/L
62% (320-199)
64% (18-10)
YTD W/L
57% (12-9)
$434,190
Career Prize Money
$2,945
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 | Orlando Luz |
|---|---|---|
| All H2H Matches | 1 | 1 |
| Sets Won | 2 | 2 |
| Games Won | 18 | 20 |
| Aces (Total) | 3 | 13 |
| DFs (Total) | 8 | 8 |
| Avg Match Time | 1:27:28 | 1:27:28 |
| 1st Serve % | 67% (92/138) | 58% (74/128) |
| 1st Serve Win% | 63% (58/92) | 73% (54/74) |
| 2nd Serve Win% | 50% (23/46) | 48% (26/54) |
| BPs Won% (Total) | 36% (4/11) | 38% (5/13) |
| Return Points W% | 38% (48/128) | 41% (57/138) |
| Best of 3 Sets W% | 50% (1/2) | 50% (1/2) |
| 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) | 100% (1/1) |
| 1st set W, L | 0% (1/0) | 0% (1/0) |
| 1st set L, W | 0% (1/0) | 0% (1/0) |
| Winning Player | Losing Player | Score | |||
|---|---|---|---|---|---|
| 6-1 6-4 |
Stats 
Orlando Luz
Player
Sumit Nagal
62%
(
33 of
53)
1st Serve %
72%
(
38 of
53)
6
Aces
1
3
Double Faults
3
88%
(
29 of
33)
1st Serve Won
61%
(
23 of
38)
55%
(
11 of
20)
2nd Serve Won
47%
(
7 of
15)
50%
(
3 of
6)
Break Points Won
0%
(
0 of
1)
25%
(
13 of
53)
Rtn Points Won
43%
(
23 of
53)
63
Total Points Won
43
|
||||
| 7-5 6-3 |
Stats
Sumit Nagal
Player
Orlando Luz
64%
(
54 of
85)
1st Serve %
55%
(
41 of
75)
2
Aces
7
5
Double Faults
5
65%
(
35 of
54)
1st Serve Won
61%
(
25 of
41)
52%
(
16 of
31)
2nd Serve Won
44%
(
15 of
34)
40%
(
4 of
10)
Break Points Won
29%
(
2 of
7)
40%
(
34 of
85)
Rtn Points Won
47%
(
35 of
75)
86
Total Points Won
74
|
||||
Stats Breakdown Vs All H2H Opponents
| stats | Sumit Nagal | Orlando Luz |
|---|---|---|
| YTD W/L | 64% (18/10) | 57% (12/9) |
| Sets Win/Loss | 65% (44/24) | 57% (31/23) |
| Games Win/Loss | 55% (359/288) | 53% (279/252) |
| Hard Win/Loss | 64% (14/8) | 0% (0/0) |
| Clay Win/Loss | 67% (4/2) | 57% (12/9) |
| Indoor Hard W/L | 0% (0/0) | 0% (0/0) |
| Grass Win/Loss | 0% (0/0) | 0% (0/0) |
| Aces pg | 0.17 | 0.33 |
| Aces Total | 55 | 86 |
| DFs per game | 0.12 | 0.2 |
| DFs Total | 38 | 53 |
| Avg Match Time | 1:56:56 | 2:8:57 |
| Avg Opp Rank | 214.64 | 276.38 |
| 1st Serve % | 70% (1475/2097) | 57% (987/1717) |
| 1st Serve W% | 67% (992/1475) | 71% (701/987) |
| 2nd Serve W% | 56% (347/622) | 51% (370/730) |
| BPs Won% Total | 48% (93/193) | 40% (68/169) |
| Return Pts W% | 40% (820/2042) | 39% (652/1687) |
| 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) | 57% (12/9) |
| Futures W/L | 0% (0/0) | 0% (0/0) |
| Best of 3 Sets W% | 65% (17/26) | 57% (12/21) |
| Best of 5 Sets W% | 50% (1/2) | 0% (0/0) |
| TBs Win% (Total) | 60% (3/5) | 22% (2/9) |
| Deciding Set W% | 33% (3/9) | 42% (5/12) |
| 1st set W, W | 76% (21/16) | 69% (13/9) |
| 1st set W, L | 24% (21/5) | 31% (13/4) |
| 1st set L, W | 29% (7/2) | 38% (8/3) |
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 | ||
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Orlando Luz Recent Matches Played
Before:
| opponent | Score | H2H | |||
|---|---|---|---|---|---|
| Q1 |
Stats
Valentin Royer
Player
Orlando Luz
62%
(
64 of
104)
1st Serve %
67%
(
66 of
98)
9
Aces
6
5
Double Faults
5
70%
(
45 of
64)
1st Serve Won
67%
(
44 of
66)
50%
(
20 of
40)
2nd Serve Won
59%
(
19 of
32)
38%
(
3 of
8)
Break Points Won
30%
(
3 of
10)
38%
(
39 of
104)
Rtn Points Won
36%
(
35 of
98)
100
Total Points Won
102
|
7-6(5) 3-6 6-3 | H2H | ||
| QF |
Stats
Camilo Ugo Carabelli
Player
Orlando Luz
60%
(
50 of
83)
1st Serve %
60%
(
53 of
89)
5
Aces
6
2
Double Faults
2
58%
(
29 of
50)
1st Serve Won
74%
(
39 of
53)
70%
(
23 of
33)
2nd Serve Won
47%
(
17 of
36)
33%
(
3 of
9)
Break Points Won
50%
(
3 of
6)
37%
(
31 of
83)
Rtn Points Won
37%
(
33 of
89)
85
Total Points Won
87
|
1-6 7-5 6-4 | H2H | ||
| R2 |
Stats
Orlando Luz
Player
Thiago Moura Monteiro
60%
(
40 of
67)
1st Serve %
57%
(
43 of
76)
3
Aces
3
1
Double Faults
4
73%
(
29 of
40)
1st Serve Won
67%
(
29 of
43)
70%
(
19 of
27)
2nd Serve Won
55%
(
18 of
33)
100%
(
2 of
2)
Break Points Won
33%
(
1 of
3)
28%
(
19 of
67)
Rtn Points Won
38%
(
29 of
76)
77
Total Points Won
66
|
6-3 7-6(5) | H2H | ||
| R1 |
Stats
Orlando Luz
Player
Carlos Sanchez Jover
55%
(
30 of
55)
1st Serve %
73%
(
45 of
62)
5
Aces
1
2
Double Faults
2
80%
(
24 of
30)
1st Serve Won
51%
(
23 of
45)
40%
(
10 of
25)
2nd Serve Won
47%
(
8 of
17)
45%
(
5 of
11)
Break Points Won
100%
(
2 of
2)
38%
(
21 of
55)
Rtn Points Won
50%
(
31 of
62)
65
Total Points Won
52
|
7-5 6-1 | H2H | ||
| QF |
Stats
Adolfo Daniel Vallejo
Player
Orlando Luz
74%
(
32 of
43)
1st Serve %
49%
(
31 of
63)
3
Aces
0
0
Double Faults
1
81%
(
26 of
32)
1st Serve Won
48%
(
15 of
31)
73%
(
8 of
11)
2nd Serve Won
56%
(
18 of
32)
25%
(
4 of
16)
Break Points Won
0%
(
0 of
0)
21%
(
9 of
43)
Rtn Points Won
48%
(
30 of
63)
64
Total Points Won
42
|
6-3 6-1 | H2H | ||
| R2 |
Stats
Orlando Luz
Player
Pedro Sakamoto
65%
(
57 of
88)
1st Serve %
65%
(
55 of
85)
6
Aces
11
1
Double Faults
0
81%
(
46 of
57)
1st Serve Won
76%
(
42 of
55)
42%
(
13 of
31)
2nd Serve Won
47%
(
14 of
30)
60%
(
3 of
5)
Break Points Won
40%
(
2 of
5)
33%
(
29 of
88)
Rtn Points Won
34%
(
29 of
85)
88
Total Points Won
85
|
6-4 4-6 6-4 | H2H | ||
| R1 |
Stats
Orlando Luz
Player
Thiago Moura Monteiro
69%
(
67 of
97)
1st Serve %
59%
(
51 of
86)
9
Aces
5
1
Double Faults
2
75%
(
50 of
67)
1st Serve Won
63%
(
32 of
51)
53%
(
16 of
30)
2nd Serve Won
74%
(
26 of
35)
33%
(
2 of
6)
Break Points Won
100%
(
1 of
1)
32%
(
31 of
97)
Rtn Points Won
33%
(
28 of
86)
94
Total Points Won
89
|
4-6 6-3 7-5 | H2H | ||
| QF |
Stats
Joao Fonseca
Player
Orlando Luz
71%
(
77 of
109)
1st Serve %
53%
(
50 of
94)
3
Aces
1
6
Double Faults
2
64%
(
49 of
77)
1st Serve Won
64%
(
32 of
50)
50%
(
16 of
32)
2nd Serve Won
57%
(
25 of
44)
57%
(
4 of
7)
Break Points Won
25%
(
3 of
12)
40%
(
44 of
109)
Rtn Points Won
39%
(
37 of
94)
102
Total Points Won
101
|
3-6 7-6(4) 6-2 | H2H | ||
| R2 |
Stats
Orlando Luz
Player
Matheus Pucinelli De Almeida
41%
(
28 of
69)
1st Serve %
70%
(
49 of
70)
5
Aces
3
2
Double Faults
2
71%
(
20 of
28)
1st Serve Won
65%
(
32 of
49)
61%
(
25 of
41)
2nd Serve Won
24%
(
5 of
21)
44%
(
4 of
9)
Break Points Won
0%
(
0 of
5)
35%
(
24 of
69)
Rtn Points Won
47%
(
33 of
70)
78
Total Points Won
61
|
7-5 6-1 | H2H | ||
| R1 |
Stats
Orlando Luz
Player
Liam Draxl
59%
(
57 of
97)
1st Serve %
62%
(
66 of
106)
7
Aces
10
6
Double Faults
5
88%
(
50 of
57)
1st Serve Won
74%
(
49 of
66)
50%
(
20 of
40)
2nd Serve Won
55%
(
22 of
40)
38%
(
3 of
8)
Break Points Won
33%
(
1 of
3)
28%
(
27 of
97)
Rtn Points Won
33%
(
35 of
106)
105
Total Points Won
98
|
6-7(1) 7-5 6-4 | 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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