Sebastian Baez vs Sumit Nagal Head-to-Head Stats, Results & Performance Comparison

Wojtek Kolan

Our Predictions

H2H Records Career Stats

HEAD TO HEAD
S. Baez vs S. Nagal

Sebastian Baez

ARG

1

Win

Played

0

Win

Age

5'7" (170 cm)

Height

5'10" (178 cm)

C. Rank

276

Best Rank

Total Titles

YTD Titles

$3.5M

Career Money

$577.5K

Right-Handed

Plays

Right-Handed

Sumit Nagal

IND

1

Win

Played

0

Win

Age

5'7" (170 cm)

Height

5'10" (178 cm)

C. Rank

276

Best Rank

Total Titles

YTD Titles

$3.5M

Career Money

$577.5K

Right-Handed

Plays

Right-Handed

Head-to-head: Baez 1 - 0 Nagal

They have played 2 sets in total, with Sebastian Baez winning 2 and Sumit Nagal winning 0. The last match between Sebastian Baez and Sumit Nagal was at the Gonet Geneva Open - Geneva, 19-05-2024, Round: R1, Surface: Clay, with Sebastian Baez getting the victory 7-6(7) 6-3.

Players	Head To Head Match Wins
Baez	1
Nagal	0

Last 1 H2H Matches:

(R1) Gonet Geneva Open - Geneva(05-19-24)

Stats

Sebastian Baez

Sumit Nagal

S. Baez vs S. Nagal H2H Profile

S. Baez	Stats	S. Nagal
$3,452,990	Career Prize Money	$577,520
60.63% (271-176)	Career Total W/L	59.35% (365-250)
1	Clay	0
18	Titles	15
1	Total H2H Matches	0
41.46% (17-24)	YTD Win/Loss	40.00% (2-3)
1	YTD Titles	0

S. Baez vs S. Nagal Match Preview:

Prediction Analysis: Second Serve Performance: In the recent 6-month period, Baez has exhibited a commendable form by winning 50.14% of points on their second serve, while Nagal has demonstrated slightly inferior performance with a 47.35% success rate. It is intriguing to note the significant correlation between this particular statistic and the accuracy of match predictions.
In-depth Evaluation: Return Game Stats: When analyzing the return game statistics of both players in their recent performances, we observe that Baez has been successful in seizing 50.1% of their opponents' second serve points, whereas Nagal has achieved a slightly lower rate of 50.09%. Furthermore, Baez has displayed notable prowess in first serve returns, recording a respectable 28.21% success rate, while Nagal has demonstrated a slightly higher rate of 30.36%. This intricate analysis holds a strong correlation to determine the favored player in this impending head-to-head encounter.
Under Pressure Statistics: A comprehensive analysis of how players perform under pressure is crucial, particularly for in-game betting predictions. In this regard, Baez has demonstrated exceptional composure by saving 60.54% of breakpoints in their recent form. On the other hand, Nagal has exhibited a commendable ability to salvage challenging situations by saving 55.93% of breakpoints. This statistic serves as a valuable tool in predicting the outcome of the match.
Performance Overview: Assessing the overall performance of both players over the past year, we find that Baez has achieved victory in a significant 50.91% of matches played, boasting a win-loss record of 28 wins and 27 losses. Conversely, Nagal has achieved a somewhat lower success rate of 42.86%, with a win-loss record of 24 wins and 32 losses. By examining these head-to-head records, we can develop a comprehensive prediction overview.
Mastering Surfaces: Analyzing the players' best surface: It is noteworthy to acknowledge that Baez's most prolific performance occurs on the clay court, where they have triumphed in an impressive 70% of matches (216 wins and 91 losses). Contrarily, their least successful surface is the indoor hard court, with a meager 6% success rate (1 win and 17 losses). Nagal's highest career win percentage can be attributed to clay, with a commendable rate of 63% (228 wins and 136 losses). However, Nagal struggles on grass courts, having secured a mere 0% success rate (0 wins and 2 losses).
Player Level: Analyzing the players' level of competition: Over the past year, Baez predominantly competed in the prestigious Main Tour, achieving victory in an impressive 59.26% of matches (16 wins and 11 losses). Conversely, Nagal primarily participated in the Main Tour, securing victory in 35% of matches (7 wins and 13 losses). Comparing these statistics is crucial in determining the favored player, considering the level of competition they have encountered.
Direct H2H Matches: An Insightful Comparison: Previously, Baez and Nagal have clashed only once before. Baez emerged triumphant on that occasion, securing victory in straight sets. Their head-to-head encounters have consisted of 2 sets in total, with Baez emerging victorious in all of them. Assessing the most recent match between Baez and Nagal at the Gonet Geneva Open in Geneva on May 19, 2024, we recall a captivating encounter on clay in which Baez emerged triumphant with a scoreline of 7-6(7) 6-3.
Head-to-Head Match Duration: Analyzing the average match duration in the previous head-to-head encounters between these players, we find it to be approximately 1 hour, 39 minutes, and 45 seconds.
Predicting the Deciding Set: In their previous encounters, Baez and Nagal have not engaged in any decisive sets. Consequently, there is no historical record indicating a favored player in case this upcoming match reaches a deciding set.
Head-to-Head Extreme Pressure Situations: Throughout their previous head-to-head matches, Baez and Nagal have engaged in one tiebreak scenario. In this instance, Baez successfully emerged victorious, while Nagal failed to secure a victory.
Opponent Quality Statistics: Over the course of the last 12 months, Baez has regularly faced opponents with an average rank of 74.18. On the other hand, Nagal has confronted players with an average rank of 185.68. This insight contributes significantly to understanding the formidable level of competition faced by both players.
Deciding Set Performance vs All Players: For those enthusiastic about live predictions and betting, it is vital to note that Baez has emerged victorious in 50% of the deciding sets they have encountered in the past 12 months. Similarly, Nagal has achieved a 60% success rate in all matches played on the tour that reached a deciding set. These statistics hold prominence in predicting the outcome of this match if it reaches such a pivotal stage.
Current Event H2H Statistics: While past player performance undoubtedly yields valuable insights into predicting tennis matches, it is equally important to assess current event statistics to gauge the players' form. Therefore, referring to the section below to examine the current event stats will provide a more accurate indication of the players' current form and suitability to the particular event. Additionally, certain players demonstrate enhanced performance at specific events, which should be duly noted when making predictions regarding the match's outcome.
Break Point Conversion: In recent form, Baez has capitalized on 37.17% of their breakpoint opportunities, while Nagal has exhibited a slightly higher conversion rate of 40.16% when presented with chances to break their opponents' serve. Remarkably, this statistical insight serves as a valuable resource for in-game live betting tips, especially when either player is faced with a breakpoint opportunity.
If you possess a keen interest in models specifically designed to predict tennis matches, this article provides an excellent starting point. However, it bears mentioning that the article is intended for statistics enthusiasts.

Sebastian Baez vs Sumit Nagal Editorial Preview By TennisTipster88.

S. Baez vs S. Nagal H2H Stats Used In Our Predictions

S. Baez	Stats	S. Nagal
1	H2H Matches Won	0
2	Sets Won	0
13	Games Won	9
2	Aces (Total)	0
1	Total Double Faults	0
1:39:45	Average Match Time	1:39:45
77% (55/71)	1st Serve %	73% (43/59)
73% (40/55)	1st Serve Win %	70% (30/43)
63% (10/16)	2nd Serve Win %	63% (10/16)
67% (2/3)	Break Pts Won %	100% (1/1)
32% (19/59)	Return Points Win %	30% (21/71)
100% (1/1)	Best‑of‑3 Win %	0% (0/1)
100% (1/1)	1st Set Won, Won Match	0% (0/0)
0% (0/1)	1st Set Won, Lost Match	0% (0/0)
0% (0/0)	1st Set Lost, Won Match	0% (0/1)

Recent Performance Stats

S. Baez Recent Matches Played

OPPONENT	RESULT	SCORE	H2H
Montevideo Challenger - 10-11-2025
R1 Alvaro Guillen MezaA. Guillen	L	7-6(3) 6-4	Stats
Rolex Paris Masters - Paris - 27-10-2025
R1 Cameron NorrieC. Norrie	L	6-3 6-4	Stats
Swiss Indoors Basel - Basel - 20-10-2025
R1 Reilly OpelkaR. Opelka	L	6-3 6-4	Stats
European Open - Brussels - 13-10-2025
R1 Valentin RoyerV. Royer	L	6-2 6-3	Stats
Shanghai Rolex Masters - Shanghai - 29-09-2025
R2 Holger RuneH. Rune	L	7-5 6-4	Stats

View All

S. Nagal Recent Matches Played

OPPONENT	RESULT	SCORE	H2H
Valencia Challenger - 06-10-2025
QF Henri SquireH. Squire	L	7-6(5) 6-4	Stats
R2 Pablo Llamas RuizP. Llamas	W	6-3 3-6 6-3	Stats
R1 Daniel Merida AguilarD. Merida	W	6-3 6-1	Stats
Q3 Alexander RitschardA. Ritschard	W	6-4 1-6 7-5	Stats
Q1 Andres Santamarta RoigA. Santamarta	W	6-4 6-2	Stats

View All

S. Baez vs S. Nagal Stats Breakdown Vs All H2H Opponents

S. Baez	Stats	S. Nagal
60.63% (271/176)	YTD Win/Loss	59.35% (365/250)
57.82% (632/461)	Sets Win/Loss	58.02% (832/602)
53.03% (5444/4821)	Games Win/Loss	53.25% (7036/6176)
46.15% (36/42)	Hard Win/Loss	56.65% (98/75)
68.98% (229/103)	Clay Win/Loss	62.14% (256/156)
12.00% (3/22)	Indoor Hard W/L	40.74% (11/16)
25.00% (3/9)	Grass Win/Loss	0.00% (0/3)
0.14	Aces Per Game	0.13
704	Aces Total	831
0.16	Double Faults Per Game	0.2
797	Total Double Faults	1318
1:43:29	Average Match Time	1:33:45
297.12	Average Opponent Rank	482.14
72% (22723/31679)	1st Serve %	68% (25789/38100)
64% (14448/22723)	1st Serve Win %	64% (16550/25789)
52% (4634/8955)	2nd Serve Win %	50% (6191/12297)
45% (1615/3610)	Break Points Won % (Total)	44% (2012/4564)
42% (13648/32122)	Return Points Win %	43% (16784/39097)
36.67% (11/19)	Slam W/L	33.33% (10/20)
34.78% (16/30)	Masters W/L	35.71% (5/9)
37.50% (3/5)	Cups W/L	60.00% (6/4)
59.74% (92/62)	Main Tour W/L	42.37% (25/34)
75.32% (58/19)	Challenger W/L	58.60% (201/142)
68.99% (89/40)	Futures W/L	75.00% (117/39)
63% (257/411)	Best of 3 Sets Win %	60% (355/591)
39% (13/33)	Best of 5 Sets Win %	25% (4/16)
51% (67/132)	Tiebreaks Win % (Total)	57% (89/155)
54% (85/156)	Deciding Set Win %	49% (94/193)
85% (258/220)	1st Set Won, Won Match	85% (382/324)
14% (258/36)	1st Set Won, Lost Match	15% (382/56)
27% (189/51)	1st Set Lost, Won Match	17% (233/40)