Magdalena Frech vs Giulia Gatto-Monticone Head-to-Head Stats, Results & Performance Comparison

Wojtek Kolan

Our Predictions

H2H Records Career Stats

HEAD TO HEAD
M. Frech vs G. Gatto-Monticone

Magdalena Frech

POL

0

Win

Played

3

Win

Age

Height

C. Rank

857

Best Rank

148

Total Titles

YTD Titles

$2.6M

Career Money

$162.7K

Right-Handed

Plays

Right-Handed

Giulia Gatto-Monticone

ITA

0

Win

Played

3

Win

Age

Height

C. Rank

857

Best Rank

148

Total Titles

YTD Titles

$2.6M

Career Money

$162.7K

Right-Handed

Plays

Right-Handed

Head-to-head: Frech 0 - 3 Gatto-Monticone

They have played 6 sets in total, with Magdalena Frech winning 0 and Giulia Gatto-Monticone winning 6. The last match between Giulia Gatto-Monticone and Magdalena Frech was at the Porsche Tennis Grand Prix - Stuttgart, 21-04-2019, Round: Q2, Surface: Clay, with Giulia Gatto-Monticone getting the victory 6-4 6-4.

Players	Head To Head Match Wins
Frech	0
Gatto-Monticone	3

Last 3 H2H Matches:

(Q2) Porsche Tennis Grand Prix - Stuttgart(04-21-19)

Stats

Giulia Gatto-Monticone

Magdalena Frech

(QF) Palmanova(02-24-17)

Stats

Giulia Gatto-Monticone

Magdalena Frech

(R2) Torun(06-29-15)

Stats

Giulia Gatto-Monticone

Magdalena Frech

M. Frech vs G. Gatto-Monticone H2H Profile

M. Frech	Stats	G. Gatto-Monticone
$2,602,816	Career Prize Money	$162,721
58.26% (448-321)	Career Total W/L	57.57% (521-384)
0	Clay	3
8	Titles	11
0	Total H2H Matches	3
37.50% (15-25)	YTD Win/Loss	0% (0-0)

M. Frech vs G. Gatto-Monticone Match Preview:

Second serve performance recent form: In recent form (last 6 months), Magdalena Frech has won 39.74% of points on their second serve, while Giulia Gatto-Monticone has won 0%. There is a high correlation between this stat and match prediction accuracy.
Return game stats recent form: Return stats show Magdalena Frech, in recent form, has won 49.39% of their opponent's second serve points, while Giulia Gatto-Monticone has won 0%. The same stats for first serve returns are 30.38% and 0% respectively and this has a high correlation to pick who is favored in this H2H matchup.
Under pressure analysis: Magdalena Frech has saved 50.24% of breakpoints in recent form, whereas Giulia Gatto-Monticone has saved 0% which is a useful statistic for in-game betting predictions.
Performance overview: Over the last year Magdalena Frech has won 37.50% of matches played (W/L 15/25), with Giulia Gatto-Monticone winning 0% (W/L 0/0) that gives us an overall head-to head prediction overview.
Best surface: Magdalena Frech has their best career surface win % on Clay, winning 59% (W/L 166/115), and worse career win % on I.hard, winning 56% (W/L 43/34). Giulia Gatto-Monticone has their best career surface win % on Hard, winning 59% (W/L 88/61), and worse career win % on Grass, winning 50% (W/L 6/6).
Player level: In the last year, Magdalena Frech has played most of their matches on the Main tour, winning 31.25% of matches (W/L 5/11), where as Giulia Gatto-Monticone has played most of their matches on the N/A, winning 0% of matches (W/L 0/0). 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 Magdalena Frech winning 0 times and Giulia Gatto-Monticone being victorious 3 times. They have played 6 sets in total, with Magdalena Frech winning 0 and Giulia Gatto-Monticone winning 6.
The last match between Magdalena Frech and Giulia Gatto-Monticone was at the Porsche Tennis Grand Prix - Stuttgart, 21-04-2019, Round: Q2, Surface: Clay, with Giulia Gatto-Monticone getting the victory 6-4 6-4.
Head to head match duration: In past head to head matches, the average match time between these players has been 1:1:52.
Opponent quality stats: Over the last 12 months, Magdalena Frech has played against opponents with an average rank of 155.5 while Giulia Gatto-Monticone has played against players with an average rank of 0.
Deciding set performance vs all players: If you are interested in live predictions and betting, if this match goes into a deciding set, Magdalena Frech has won 47% of deciding sets over the last 12 months, while Giulia Gatto-Monticone has won 0% in all matches played on tour.
Break point conversion: In recent form, Magdalena Frech has converted 35.61% of breakpoint opportunities, and Giulia Gatto-Monticone has converted 0% of their chances to break their opponents serve. A telling stat for in-game live betting tips when either player has a breakpoint opportunity.

Magdalena Frech vs Giulia Gatto-Monticone Editorial Preview By TennisTipster88.

M. Frech vs G. Gatto-Monticone H2H Stats Used In Our Predictions

M. Frech	Stats	G. Gatto-Monticone
0	H2H Matches Won	3
0	Sets Won	6
19	Games Won	37
3	Aces (Total)	0
3	Total Double Faults	7
1:1:52	Average Match Time	1:1:52
67% (88/132)	1st Serve %	70% (82/117)
59% (52/88)	1st Serve Win %	61% (50/82)
30% (13/44)	2nd Serve Win %	54% (19/35)
43% (6/14)	Break Pts Won %	55% (11/20)
41% (48/117)	Return Points Win %	51% (67/132)
0% (0/3)	Best‑of‑3 Win %	100% (3/3)
0% (0/0)	1st Set Won, Won Match	100% (3/3)
0% (0/0)	1st Set Won, Lost Match	0% (0/3)
0% (0/3)	1st Set Lost, Won Match	0% (0/0)

Recent Performance Stats

M. Frech Recent Matches Played

OPPONENT	RESULT	SCORE	H2H
Wuhan Open - Wuhan - 06-10-2025
R3 Laura SiegemundL. Siegemund	L	6-4 7-6(2)	Stats
R2 Karolina MuchovaK. Muchova	W	7-6(1) 4-1 ret.	Stats
R1 Veronika KudermetovaV. Kudermetova	W	6-3 2-6 6-3	Stats
China Open - Beijing - 22-09-2025
R1 Ella SeidelE. Seidel	L	7-5 6-4	Stats
Guadalajara Open Akron - Guadalajara - 08-09-2025
QF Nikola BartunkovaN. Bartunkova	L	7-5 6-4	Stats

View All

G. Gatto-Monticone Recent Matches Played

OPPONENT	RESULT	SCORE	H2H
W60 Koper - 17-04-2023
Q1 Andreea MituA. Mitu	L	6-4 6-0	Stats
W60 Grenoble - 06-02-2023
R2 Oceane DodinO. Dodin	L	6-0 6-2	Stats
R1 Lucie HavlickovaL. Havlickova	W	7-6(3) 6-4	Stats
Q3 Jenny LimJ. Lim	W	6-4 6-4	Stats
Q1 Stefania RubiniS. Rubini	W	6-4 6-4	Stats

View All

M. Frech vs G. Gatto-Monticone Stats Breakdown Vs All H2H Opponents

M. Frech	Stats	G. Gatto-Monticone
58.26% (448/321)	YTD Win/Loss	57.53% (516/381)
56.06% (1009/791)	Sets Win/Loss	55.51% (1134/909)
52.77% (8759/7838)	Games Win/Loss	52.36% (9615/8749)
56.90% (169/128)	Hard Win/Loss	59.06% (88/61)
59.07% (166/115)	Clay Win/Loss	55.99% (299/235)
60.66% (74/48)	Indoor Hard W/L	60.89% (123/79)
56.52% (39/30)	Grass Win/Loss	50.00% (6/6)
0.17	Aces Per Game	0.02
1377	Aces Total	209
0.18	Double Faults Per Game	0.18
1464	Total Double Faults	1628
1:21:23	Average Match Time	1st Match
424.71	Average Opponent Rank	588.51
62% (26722/43097)	1st Serve %	68% (18374/26924)
63% (16830/26722)	1st Serve Win %	58% (10568/18374)
46% (7527/16375)	2nd Serve Win %	41% (3530/8552)
46% (2490/5366)	Break Points Won % (Total)	50% (1936/3847)
45% (19383/42784)	Return Points Win %	49% (13260/26911)
46.30% (25/29)	Slam W/L	45.83% (11/13)
52.75% (48/43)	Masters W/L	0.00% (0/3)
50.00% (7/7)	Cups W/L	0% (0/0)
50.00% (97/97)	Main Tour W/L	49.30% (35/36)
65.50% (224/118)	Challenger W/L	55.52% (307/246)
63.51% (47/27)	Futures W/L	66.26% (163/83)
58% (438/759)	Best of 3 Sets Win %	57% (507/882)
100% (4/4)	Best of 5 Sets Win %	50% (1/2)
47% (72/154)	Tiebreaks Win % (Total)	51% (76/148)
55% (145/265)	Deciding Set Win %	58% (149/259)
88% (409/360)	1st Set Won, Won Match	89% (481/426)
12% (409/48)	1st Set Won, Lost Match	11% (481/54)
24% (360/87)	1st Set Lost, Won Match	21% (416/88)