Giulia Gatto-Monticone vs Magdalena Frech Head-to-Head Stats, Results & Performance Comparison
Wojtek Kolan
HEAD TO HEAD
G. Gatto-Monticone vs M. Frech
Giulia Gatto-Monticone
ITA
w
l
w
w
l
w
w
w
l
l
3
Win
3
Played
0
Win
38
Age
27
-
Height
-
857
C. Rank
59
148
Best Rank
22
0
Total Titles
1
0
YTD Titles
0
$162.7K
Career Money
$2.6M
Right-Handed
Plays
Right-Handed
Magdalena Frech
POL
l
w
w
l
w
l
l
w
w
l
3
Win
3
Played
0
Win
38
Age
27
-
Height
-
857
C. Rank
59
148
Best Rank
22
0
Total Titles
1
0
YTD Titles
0
$162.7K
Career Money
$2.6M
Right-Handed
Plays
Right-Handed
Head-to-head: Gatto-Monticone 3 - 0 Frech
They have played 6 sets in total, with Giulia Gatto-Monticone winning 6 and Magdalena Frech winning 0. 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 |
|---|---|
| Gatto-Monticone | 3 |
| Frech | 0 |
Last 3 H2H Matches:
(Q2) Porsche Tennis Grand Prix - Stuttgart(04-21-19)
Giulia Gatto-Monticone
6
6
Magdalena Frech
4
4
(QF) Palmanova(02-24-17)
Giulia Gatto-Monticone
7
6
Magdalena Frech
5
2
(R2) Torun(06-29-15)
Giulia Gatto-Monticone
6
6
Magdalena Frech
3
1
G. Gatto-Monticone vs M. Frech H2H Profile
| Stats | ||
|---|---|---|
| $162,721 | Career Prize Money | $2,602,816 |
| 57.57% (521-384) | Career Total W/L | 58.26% (448-321) |
| 3 | Clay | 0 |
| 11 | Titles | 8 |
| 3 | Total H2H Matches | 0 |
| 0% (0-0) | YTD Win/Loss | 37.50% (15-25) |
G. Gatto-Monticone vs M. Frech Match Preview:
- Second serve performance recent form: In recent form (last 6 months), Giulia Gatto-Monticone has won 0% of points on their second serve, while Magdalena Frech has won 39.74%. There is a high correlation between this stat and match prediction accuracy.
- Return game stats recent form: Return stats show Giulia Gatto-Monticone, in recent form, has won 0% of their opponent's second serve points, while Magdalena Frech has won 49.39%. The same stats for first serve returns are 0% and 30.38% respectively and this has a high correlation to pick who is favored in this H2H matchup.
- Under pressure analysis: Giulia Gatto-Monticone has saved 0% of breakpoints in recent form, whereas Magdalena Frech has saved 50.24% which is a useful statistic for in-game betting predictions.
- Performance overview: Over the last year Giulia Gatto-Monticone has won 0% of matches played (W/L 0/0), with Magdalena Frech winning 37.50% (W/L 15/25) that gives us an overall head-to head prediction overview.
- Best surface: 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). 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).
- Player level: In the last year, Giulia Gatto-Monticone has played most of their matches on the N/A, winning 0% of matches (W/L 0/0), where as Magdalena Frech has played most of their matches on the Main tour, winning 31.25% of matches (W/L 5/11). 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 Giulia Gatto-Monticone winning 3 times and Magdalena Frech being victorious 0 times. They have played 6 sets in total, with Giulia Gatto-Monticone winning 6 and Magdalena Frech winning 0.
- 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.
- 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, Giulia Gatto-Monticone has played against opponents with an average rank of 0 while Magdalena Frech has played against players with an average rank of 82.85.
- Deciding set performance vs all players: If you are interested in live predictions and betting, if this match goes into a deciding set, Giulia Gatto-Monticone has won 0% of deciding sets over the last 12 months, while Magdalena Frech has won 47% in all matches played on tour.
- Break point conversion: In recent form, Giulia Gatto-Monticone has converted 0% of breakpoint opportunities, and Magdalena Frech has converted 35.61% of their chances to break their opponents serve. A telling stat for in-game live betting tips when either player has a breakpoint opportunity.
Giulia Gatto-Monticone vs Magdalena Frech Editorial Preview By TennisTipster88.
G. Gatto-Monticone vs M. Frech H2H Stats Used In Our Predictions
| Stats | ||
|---|---|---|
| 3 | H2H Matches Won | 0 |
| 6 | Sets Won | 0 |
| 37 | Games Won | 19 |
| 0 | Aces (Total) | 3 |
| 7 | Total Double Faults | 3 |
| 1:1:52 | Average Match Time | 1:1:52 |
| 70% (82/117) | 1st Serve % | 67% (88/132) |
| 61% (50/82) | 1st Serve Win % | 59% (52/88) |
| 54% (19/35) | 2nd Serve Win % | 30% (13/44) |
| 55% (11/20) | Break Pts Won % | 43% (6/14) |
| 51% (67/132) | Return Points Win % | 41% (48/117) |
| 100% (3/3) | Best‑of‑3 Win % | 0% (0/3) |
| 100% (3/3) | 1st Set Won, Won Match | 0% (0/0) |
| 0% (0/3) | 1st Set Won, Lost Match | 0% (0/0) |
| 0% (0/0) | 1st Set Lost, Won Match | 0% (0/3) |
Recent Performance Stats
2nd Serve Win %: Gatto-Monticone 0%, Frech 46%.
Opp 2nd Serve Pts Won: Gatto-Monticone 0%, Frech 55%.
Break Points Saved %: Gatto-Monticone 0%, Frech 50%.
G. Gatto-Monticone Recent Matches Played
| OPPONENT | RESULT | SCORE | H2H | |
|---|---|---|---|---|
| W60 Koper - 17-04-2023 | ||||
Q1  Andreea MituA. Mitu | L | 6-4 6-0 | ||
 W60 Grenoble - 06-02-2023 | ||||
R2  Oceane DodinO. Dodin | L | 6-0 6-2 | ||
R1  Lucie HavlickovaL. Havlickova | W | 7-6(3) 6-4 | ||
Q3 Jenny LimJ. Lim | W | 6-4 6-4 | ||
Q1 Stefania RubiniS. Rubini | W | 6-4 6-4 | ||
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) | ||
R2 Karolina MuchovaK. Muchova | W | 7-6(1) 4-1 ret. | ||
R1  Veronika KudermetovaV. Kudermetova | W | 6-3 2-6 6-3 | ||
| China Open - Beijing - 22-09-2025 | ||||
R1 Ella SeidelE. Seidel | L | 7-5 6-4 | ||
| Guadalajara Open Akron - Guadalajara - 08-09-2025 | ||||
QF Nikola BartunkovaN. Bartunkova | L | 7-5 6-4 | ||
G. Gatto-Monticone vs M. Frech Stats Breakdown Vs All H2H Opponents
| Stats | ||
|---|---|---|
| 57.53% (516/381) | YTD Win/Loss | 58.26% (448/321) |
| 55.51% (1134/909) | Sets Win/Loss | 56.06% (1009/791) |
| 52.36% (9615/8749) | Games Win/Loss | 52.77% (8759/7838) |
| 59.06% (88/61) | Hard Win/Loss | 56.90% (169/128) |
| 55.99% (299/235) | Clay Win/Loss | 59.07% (166/115) |
| 60.89% (123/79) | Indoor Hard W/L | 60.66% (74/48) |
| 50.00% (6/6) | Grass Win/Loss | 56.52% (39/30) |
| 0.02 | Aces Per Game | 0.17 |
| 209 | Aces Total | 1377 |
| 0.18 | Double Faults Per Game | 0.18 |
| 1628 | Total Double Faults | 1464 |
| 1st Match | Average Match Time | 1:21:23 |
| 588.51 | Average Opponent Rank | 424.71 |
| 68% (18374/26924) | 1st Serve % | 62% (26722/43097) |
| 58% (10568/18374) | 1st Serve Win % | 63% (16830/26722) |
| 41% (3530/8552) | 2nd Serve Win % | 46% (7527/16375) |
| 50% (1936/3847) | Break Points Won % (Total) | 46% (2490/5366) |
| 49% (13260/26911) | Return Points Win % | 45% (19383/42784) |
| 45.83% (11/13) | Slam W/L | 46.30% (25/29) |
| 0.00% (0/3) | Masters W/L | 52.75% (48/43) |
| 0% (0/0) | Cups W/L | 50.00% (7/7) |
| 49.30% (35/36) | Main Tour W/L | 50.00% (97/97) |
| 55.52% (307/246) | Challenger W/L | 65.50% (224/118) |
| 66.26% (163/83) | Futures W/L | 63.51% (47/27) |
| 57% (507/882) | Best of 3 Sets Win % | 58% (438/759) |
| 50% (1/2) | Best of 5 Sets Win % | 100% (4/4) |
| 51% (76/148) | Tiebreaks Win % (Total) | 47% (72/154) |
| 58% (149/259) | Deciding Set Win % | 55% (145/265) |
| 89% (481/426) | 1st Set Won, Won Match | 88% (409/360) |
| 11% (481/54) | 1st Set Won, Lost Match | 12% (409/48) |
| 21% (416/88) | 1st Set Lost, Won Match | 24% (360/87) |
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