Athlete Profile

IFBB Pro Florencia De Cirena Alduncinrivera

Images may be subject to copyright.

Name:

Florencia De Cirena Alduncinrivera

Country:

Mexico

Class:

Women's Fit Model (3)

Division:

Open (3)

Date of Birth:

N/A

Most Recent Show:

2026 Mr Big Evolution Portugal Pro

Next Show:

Unknown

Name:

Florencia De Cirena Alduncinrivera

Country:

Mexico

Class:

Women's Fit Model (3)

Division:

Open (3)

Age:

N/A

Most Recent Show:

2026 Mr Big Evolution Portugal Pro

Next Show:

Unknown

Stats

Events
Entered

3

Events
Won

0

Top 5
Placings

0


Average
Placing

15.67

Olympias
Entered

0

Olympias
Won

0

Olympias
Top 5

0


Olympia
Average

N/A

Arnolds
Entered

0

Arnolds
Won

0

Arnolds
Top 5

0


Arnolds
Average

N/A

Rivals

IFBB Pro Sepideh Abshari

Sepideh
Abshari

Head to Head:

0 - 2

IFBB Pro Parinya Loptson

Parinya
Loptson

Head to Head:

0 - 2

IFBB Pro Maiara Rotta

Maiara
Rotta

Head to Head:

0 - 2

IFBB Pro Whitneyshianne Lanese

Whitneyshianne
Lanese

Head to Head:

0 - 2

IFBB Pro Veronica Sagone

Veronica
Sagone

Head to Head:

0 - 2

IFBB Pro Mariia Kosterina

Mariia
Kosterina

Head to Head:

0 - 2

IFBB Pro Elizabeth Hunter

Elizabeth
Hunter

Head to Head:

0 - 1

IFBB Pro Alizee Juras

Alizee
Juras

Head to Head:

0 - 1

Events

2026 Mr Big Evolution Portugal Pro - Women's Fit Model

Placing

16

Judging
Finals
Total
48pts
N/A
48pts

Date:
Sunday, Jul 5th, 2026
Location:
Estoril, Portugal
Federation:
IFBB
Class:
Women's Fit Model
Division:
Open
2026 Toronto Pro Supershow - Women's Fit Model

Placing

15

Judging
Finals
Total
73pts
N/A
73pts

Date:
Sunday, Jun 14th, 2026
Location:
Toronto, Canada
Federation:
IFBB
Class:
Women's Fit Model
Division:
Open
2026 Musclecontest Japan Pro - Women's Fit Model

Placing

16

Judging
Finals
Total
48pts
N/A
48pts

Date:
Saturday, Feb 28th, 2026
Location:
Tokyo, Japan
Federation:
IFBB
Class:
Women's Fit Model
Division:
Open
Copyright Bodybuildingpicks 2023.

Accuracy of data.

Instagram @bodybuildingpicks
Copyright Bodybuildingpicks 2023.

Accuracy of data.