Result: 6-4 6-1 · Jensen / Icardo vs Fassio / Lopez | Milano P1 2026

P1 · MilanR32Oct 14

JensenIcardo

#11#12

2–0

Finished

CF

FassioLopez

#61#47

Score

Jensen·

Icardo

2

66

Fassio·

Players in this Match

Padel pairs: Team A Padel pairs: Team B

Claudia Jensen#11

Tamara Icardo Alcorisa#12

CF

Camila Fassio Goyeneche#61

Lopez

0

41

43%

Break Points Converted

56%

20%

Longest Streak

10

4

Aces

0

Double Faults

0

Service Games

8

9

Won on 1st Serve

64%

51%

Won on 2nd Serve

75%

50%

Total Won on Serve

65%

51%

Return Games

9

8

Won on 1st Return

49%

36%

Won on 2nd Return

50%

25%

Total Won on Return

49%

35%

Oct15

Milano P1 2026

Jensen·Icardo

Virseda·Fassio

76

61

Sep9

Paris Major 2026

Ramme·Dubins

Jensen·Icardo

30

Sep4

Madrid P1 2026

Icardo·Jensen

Sanchez·Ustero

713

Sep3

Madrid P1 2026

Icardo·Jensen

Rodriguez·Canovas

66

Aug7

London P1 2026

Fernandez·Calvo

Icardo·Jensen

66

Fassio·Lopez

W

L

W

4/5

Oct16

FIP Gold Ciudad De Sevilla

Arteaga·Gomez

Lopez·Fassio

262

626

Sep30

Rotterdam P2 2026

Barrera·Montes

Lopez·Fassio

267

Sep27

FIP Silver Sâo Joâo Da Madeira

Arellano·Lobo

Lopez·Fassio

63

Sep27

FIP Silver Sâo Joâo Da Madeira

Lopez·Fassio

Borrero·Navarro

67

Sep26

FIP Silver Sâo Joâo Da Madeira

Lopez·Fassio

Nogueira·Sanchez

76

Amanda Lopez Moral#47

Analysis

1Jensen/Icardo carry the seeding edge as the No. 6 pair, giving them the stronger tournament standing.
2Recent form is perfectly even: Jensen/Icardo and Lopez Moral/Fassio Goyeneche each have three wins from five.
3The matchup contrasts Jensen/Icardo’s higher-ranked pairing with Lopez Moral/Fassio Goyeneche’s lower-ranked profile.

66

666

13

34

646

2

366

45

51

Score

Match Stats

Recent Form

Players in this Match

Where to Watch

Premier Padel YouTube

Match Details

Analysis

Claudia Jensen / Tamara Icardo Alcorisa vs Camila Fassio Goyeneche / Amanda Lopez Moral

Score

Match Stats

Recent Form

Players in this Match

Where to Watch

Premier Padel YouTube

Match Details

Analysis