UFL Database, Skins, Squad Building & Player Reviews

App

Instagram

X

Discord

SEASON 3 (25/26)
Loading…
CP 3,046,000
RP 885.00
Slicer .skillstyle { fill: #888888 }
Sniper .skillstyle { fill: #888888 }

Aldo Florenzi

S1 (66) S2 (67)
+1
+4
71

FLORENZI

CM

Aldo Florenzi

Slicer .skillstyle { fill: #888888 }
Sniper .skillstyle { fill: #888888 }
CP 3,046,000
RP 885.00
S1 (66) S2 (67)
+1
PAC (+2)
76
SHO (+3)
59
PAS (+6)
68
DRB (+3)
71
DEF (+2)
61
FIT (+2)
77

Attribute Boosts

Skills

Other

Skin series tab is currently being restructured and will be ready again soon. Skin series are still available in the app in the meanwhile.

Version

67
Base
68
Lvl 68
69
Lvl 69
70
Lvl 70
71
Lvl 71
72
Lvl 72
73
Lvl 73
74
Lvl 74
75
Lvl 75
76
Lvl 76
77
Lvl 77
78
Lvl 78
79
Lvl 79
80
Lvl 80
81
Lvl 81
82
Lvl 82
83
Lvl 83
84
Lvl 84
85
Lvl 85
86
Lvl 86
87
Lvl 87
88
Lvl 88
89
Lvl 89
90
Lvl 90
91
Lvl 91

pace

Acceleration (LV: 72+3) 75
Sprint speed 77

shooting

Finishing (LV: 46+4) 50
Shot power (LV: 74+1) 75
Long shots (LV: 73+3) 76
Positioning (LV: 52+5) 57
Penalties (LV: 54+2) 56

passing

Awareness (LV: 60+7) 67
Pass accuracy (LV: 61+7) 68
Crossing (LV: 64+5) 69
Free kicks (LV: 58+3) 61

dribbling

Dribbling (LV: 62+4) 66
Ball control (LV: 71+4) 75
Agility (LV: 67+3) 70
Composure (LV: 74+2) 76
Reactions 71

defending

Tackles (LV: 64+3) 67
Interceptions (LV: 53+3) 56
Heading 45
Defensive positioning (LV: 63+1) 64

fitness

Strength (LV: 81+2) 83
Stamina (LV: 72+3) 75
Jumping (LV: 70+2) 72
Leveled by UFLS Team GOAT Scout
Age 23 years (Apr 2, 2002)
Nationality it
In-Game Stats (IGS) 1484
Height 168 cm (5’6″)
Weight 75 kg (165 lbs)
UFLS ID (Season based) 47544
League Serie C – C
Club Cosenza Calcio
Preferred Foot Right
Left Foot ★★☆☆☆
Preferred Positions
CM
In-game Face
No input yet
Run Style Default
Slicer .skillstyle { fill: #888888 } Medium effect
Slicer Improves through balls.
Sniper .skillstyle { fill: #888888 } Medium effect
Sniper Improves long shots.

DISCUSSIONS

Comments

No comments yet. Be the first to comment!

Report Wrong Data