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Sumit Nagal vs Max Houkes 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 Houkes analysis and find out who is favored!
Sumit Nagal vs Max Houkes Important H2H Prediction Stats:
Head-to-head: Nagal 1 - 0 Houkes
- Second serve performance recent form: In recent form (last 6 months), Nagal has won 55.03% of points on their second serve, while Houkes has won 48.37%. 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 54.46% of their opponent's second serve points, while Houkes has won 50.59%. The same stats for first serve returns are 32.57% and 35.03% respectively and this has a high correlation to pick who is favored in this H2H matchup.
- Under pressure analysis: Nagal has saved 64.46% of breakpoints in recent form, whereas Houkes has saved 58.7% which is a useful statistic for in-game betting predictions.
- Performance overview: Over the last year Nagal has won 62.5% of matches played (W/L 45/ 27), with Houkes winning 56.25% (W/L 36/ 28) 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 220/ 127), and worse career win % on Grass, winning 0% (W/L 0/ 1). Houkes has their best career surface win % on Clay, winning 66% (W/L 202/ 103), 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 69.39% of matches (W/L 34/ 15), where as Houkes has played most of their matches on the Futures/Satellites/ITF tournaments $10K, winning 63.89% of matches (W/L 23/ 13). 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 Houkes being victorious 0 times. They have played 2 sets in total, with Nagal winning 2 and Houkes winning 0. The last match between Nagal and Houkes was at the Rome Challenger, 28-04-2023, Quarterfinals, Clay with Sumit Nagal getting the victory 7-5 6-0.
- Head to head match duration: In past head to head matches, the average match time between these players has been 1:27:18.
- Deciding set H2H prediction: Nagal and Houkes have played a deciding set 0 times, with Nagal winning 0 times and Houkes 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 Houkes 0.
- Opponent quality stats: Over the last 12 months, Nagal has played against opponents with an average rank of 254.94 while Houkes has played against players with an average rank of 251.38.
- 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 Houkes has won 45% in all matches played on tour.
- Break point conversion: In recent form, Nagal has converted 45.42% of breakpoint opportunities, and Houkes has converted 45.71% 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
0
Hard0
1
Clay0
0
Indoor0
0
Grass0
411
Rank
273
High
23
Age
Plays
L
L
L
L
W
W
W
W
W
W
Form
W
W
L
W
W
L
L
L
W
L
61% (323-207)
Career Total W/L
64% (216-120)
65% (24-13)
YTD W/L
55% (12-10)
$434,190
Career Prize Money
$0
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 Max Houkes For Any Market:
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| stats | Sumit Nagal | Max Houkes |
|---|---|---|
| All H2H Matches | 1 | 0 |
| Sets Won | 2 | 0 |
| Games Won | 13 | 5 |
| Aces (Total) | 0 | 0 |
| DFs (Total) | 0 | 5 |
| Avg Match Time | 1:27:18 | 1:27:18 |
| 1st Serve % | 67% (32/48) | 61% (33/54) |
| 1st Serve Win% | 88% (28/32) | 58% (19/33) |
| 2nd Serve Win% | 63% (10/16) | 38% (8/21) |
| BPs Won% (Total) | 67% (4/6) | 0% (0/2) |
| Return Points W% | 50% (27/54) | 21% (10/48) |
| 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% | 0% (0/0) | 0% (0/0) |
| 1st set W, W | 100% (1/1) | 0% (0/0) |
| 1st set W, L | 0% (1/0) | 0% (0/0) |
| 1st set L, W | 0% (0/0) | 0% (1/0) |
| Winning Player | Losing Player | Score | |||
|---|---|---|---|---|---|
| 7-5 6-0 |
Stats 
Sumit Nagal
Player
Max Houkes
67%
(
32 of
48)
1st Serve %
61%
(
33 of
54)
0
Aces
0
0
Double Faults
5
88%
(
28 of
32)
1st Serve Won
58%
(
19 of
33)
63%
(
10 of
16)
2nd Serve Won
38%
(
8 of
21)
67%
(
4 of
6)
Break Points Won
0%
(
0 of
2)
21%
(
10 of
48)
Rtn Points Won
50%
(
27 of
54)
65
Total Points Won
37
|
||||
Stats Breakdown Vs All H2H Opponents
| stats | Sumit Nagal | Max Houkes |
|---|---|---|
| YTD W/L | 65% (24/13) | 55% (12/10) |
| Sets Win/Loss | 63% (56/33) | 54% (27/23) |
| Games Win/Loss | 55% (462/382) | 52% (245/228) |
| Hard Win/Loss | 64% (14/8) | 0% (0/0) |
| Clay Win/Loss | 67% (10/5) | 55% (12/10) |
| Indoor Hard W/L | 0% (0/0) | 0% (0/0) |
| Grass Win/Loss | 0% (0/0) | 0% (0/0) |
| Aces pg | 0.15 | 0.27 |
| Aces Total | 63 | 62 |
| DFs per game | 0.12 | 0.41 |
| DFs Total | 51 | 94 |
| Avg Match Time | 1:55:7 | 1:57:42 |
| Avg Opp Rank | 227.86 | 267.68 |
| 1st Serve % | 70% (1915/2720) | 60% (907/1519) |
| 1st Serve W% | 67% (1280/1915) | 69% (626/907) |
| 2nd Serve W% | 55% (443/805) | 48% (296/612) |
| BPs Won% Total | 45% (124/273) | 46% (64/140) |
| Return Pts W% | 41% (1105/2714) | 41% (625/1520) |
| 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 | 79% (15/4) | 55% (6/5) |
| Futures W/L | 0% (0/0) | 55% (6/5) |
| Best of 3 Sets W% | 68% (23/34) | 57% (12/21) |
| Best of 5 Sets W% | 33% (1/3) | 0% (0/0) |
| TBs Win% (Total) | 55% (6/11) | 67% (6/9) |
| Deciding Set W% | 45% (5/11) | 57% (4/7) |
| 1st set W, W | 81% (27/22) | 91% (11/10) |
| 1st set W, L | 19% (27/5) | 9% (11/1) |
| 1st set L, W | 20% (10/2) | 18% (11/2) |
Sumit Nagal Recent Matches Played
Before:
| opponent | Score | H2H | |||
|---|---|---|---|---|---|
| R1 |
Stats
Sumit Nagal
Player
Nerman Fatic
81%
(
46 of
57)
1st Serve %
71%
(
60 of
84)
0
Aces
2
0
Double Faults
3
76%
(
35 of
46)
1st Serve Won
60%
(
36 of
60)
73%
(
8 of
11)
2nd Serve Won
38%
(
9 of
24)
33%
(
3 of
9)
Break Points Won
100%
(
1 of
1)
25%
(
14 of
57)
Rtn Points Won
46%
(
39 of
84)
82
Total Points Won
59
|
7-6(1) 6-2 | 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 | ||
view more
Max Houkes Recent Matches Played
Before:
| opponent | Score | H2H | |||
|---|---|---|---|---|---|
| QF |
Stats
Timofey Skatov
Player
Max Houkes
38%
(
8 of
21)
1st Serve %
50%
(
13 of
26)
2
Aces
0
2
Double Faults
3
75%
(
6 of
8)
1st Serve Won
85%
(
11 of
13)
77%
(
10 of
13)
2nd Serve Won
38%
(
5 of
13)
0%
(
0 of
3)
Break Points Won
0%
(
0 of
0)
24%
(
5 of
21)
Rtn Points Won
38%
(
10 of
26)
26
Total Points Won
21
|
4-3 ret. | H2H | ||
| Q1 |
Stats
Max Houkes
Player
Sandro Kopp
55%
(
48 of
88)
1st Serve %
64%
(
49 of
77)
7
Aces
2
7
Double Faults
1
73%
(
35 of
48)
1st Serve Won
55%
(
27 of
49)
48%
(
19 of
40)
2nd Serve Won
46%
(
13 of
28)
71%
(
5 of
7)
Break Points Won
43%
(
3 of
7)
39%
(
34 of
88)
Rtn Points Won
48%
(
37 of
77)
91
Total Points Won
74
|
6-0 2-6 6-4 | H2H | ||
| R1 |
Stats
Fausto Tabacco
Player
Max Houkes
59%
(
33 of
56)
1st Serve %
52%
(
31 of
60)
0
Aces
3
2
Double Faults
5
64%
(
21 of
33)
1st Serve Won
45%
(
14 of
31)
48%
(
11 of
23)
2nd Serve Won
41%
(
12 of
29)
60%
(
6 of
10)
Break Points Won
75%
(
3 of
4)
43%
(
24 of
56)
Rtn Points Won
57%
(
34 of
60)
66
Total Points Won
50
|
6-3 6-2 | H2H | ||
| R1 |
Stats
Samuele Pieri
Player
Max Houkes
63%
(
52 of
83)
1st Serve %
55%
(
48 of
87)
4
Aces
3
3
Double Faults
10
60%
(
31 of
52)
1st Serve Won
60%
(
29 of
48)
42%
(
13 of
31)
2nd Serve Won
38%
(
15 of
39)
42%
(
5 of
12)
Break Points Won
56%
(
5 of
9)
47%
(
39 of
83)
Rtn Points Won
49%
(
43 of
87)
87
Total Points Won
83
|
7-6(6) 7-6(7) | H2H | ||
| R2 |
Stats
Tommaso Compagnucci
Player
Max Houkes
68%
(
39 of
57)
1st Serve %
49%
(
31 of
63)
0
Aces
2
2
Double Faults
4
62%
(
24 of
39)
1st Serve Won
48%
(
15 of
31)
61%
(
11 of
18)
2nd Serve Won
44%
(
14 of
32)
83%
(
5 of
6)
Break Points Won
40%
(
2 of
5)
39%
(
22 of
57)
Rtn Points Won
54%
(
34 of
63)
69
Total Points Won
51
|
7-6(5) 6-0 | H2H | ||
| R1 |
Stats
Max Houkes
Player
Federico Arnaboldi
55%
(
63 of
114)
1st Serve %
47%
(
63 of
133)
3
Aces
6
6
Double Faults
10
68%
(
43 of
63)
1st Serve Won
68%
(
43 of
63)
53%
(
27 of
51)
2nd Serve Won
47%
(
33 of
70)
25%
(
3 of
12)
Break Points Won
50%
(
4 of
8)
39%
(
44 of
114)
Rtn Points Won
43%
(
57 of
133)
127
Total Points Won
120
|
4-6 7-6(3) 7-6(5) | H2H | ||
| SF |
Stats
Valentin Royer
Player
Max Houkes
65%
(
51 of
79)
1st Serve %
55%
(
39 of
71)
4
Aces
6
3
Double Faults
2
76%
(
39 of
51)
1st Serve Won
77%
(
30 of
39)
50%
(
14 of
28)
2nd Serve Won
59%
(
19 of
32)
67%
(
2 of
3)
Break Points Won
50%
(
2 of
4)
33%
(
26 of
79)
Rtn Points Won
31%
(
22 of
71)
75
Total Points Won
75
|
6-4 2-6 6-3 | H2H | ||
| QF |
Stats
Max Houkes
Player
Gabriele Pennaforti
57%
(
34 of
60)
1st Serve %
60%
(
34 of
57)
1
Aces
5
2
Double Faults
3
76%
(
26 of
34)
1st Serve Won
68%
(
23 of
34)
58%
(
15 of
26)
2nd Serve Won
52%
(
12 of
23)
50%
(
3 of
6)
Break Points Won
100%
(
1 of
1)
32%
(
19 of
60)
Rtn Points Won
39%
(
22 of
57)
63
Total Points Won
54
|
6-4 6-4 | H2H | ||
| R2 |
Stats
Max Houkes
Player
Niccolo Catini
68%
(
36 of
53)
1st Serve %
62%
(
44 of
71)
3
Aces
1
2
Double Faults
4
72%
(
26 of
36)
1st Serve Won
57%
(
25 of
44)
59%
(
10 of
17)
2nd Serve Won
48%
(
13 of
27)
36%
(
4 of
11)
Break Points Won
33%
(
1 of
3)
32%
(
17 of
53)
Rtn Points Won
46%
(
33 of
71)
69
Total Points Won
55
|
6-4 6-2 | H2H | ||
| R1 |
Stats
Max Houkes
Player
Diego Barreto Sanchez
62%
(
43 of
69)
1st Serve %
62%
(
37 of
60)
5
Aces
3
2
Double Faults
2
77%
(
33 of
43)
1st Serve Won
73%
(
27 of
37)
54%
(
14 of
26)
2nd Serve Won
43%
(
10 of
23)
100%
(
2 of
2)
Break Points Won
50%
(
1 of
2)
32%
(
22 of
69)
Rtn Points Won
38%
(
23 of
60)
70
Total Points Won
59
|
7-6(9) 6-3 | H2H | ||
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Nagal Vs Houkes Prediction H2H Images To Share
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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.
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