UFL Database, Skins, Squad Building & Player Reviews

App

Instagram

X

Discord

SEASON 3 (25/26)
Loading…
CP 3,518,000
RP 990.00
Slicer .skillstyle { fill: #888888 }
Sniper .skillstyle { fill: #888888 }

Giotto Morandi

S1 (67) S2 (68)
0
+4
72

MORANDI

CAM

Giotto Morandi

Slicer .skillstyle { fill: #888888 }
Sniper .skillstyle { fill: #888888 }
CP 3,518,000
RP 990.00
S1 (67) S2 (68)
0
PAC (+2)
82
SHO (+3)
66
PAS (+4)
71
DRB (+3)
68
DEF (+2)
52
FIT (+2)
75

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

68
Base
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: 74+3) 77
Sprint speed 86

shooting

Finishing (LV: 55+4) 59
Shot power (LV: 66+2) 68
Long shots (LV: 73+1) 74
Positioning (LV: 66+2) 68
Penalties (LV: 74+2) 76

passing

Awareness (LV: 72+4) 76
Pass accuracy (LV: 65+6) 71
Crossing (LV: 66+3) 69
Free kicks (LV: 57+6) 63

dribbling

Dribbling (LV: 56+3) 59
Ball control (LV: 67+2) 69
Agility (LV: 65+1) 66
Composure (LV: 79+3) 82
Reactions (LV: 69+2) 71

defending

Tackles (LV: 52+3) 55
Interceptions (LV: 43+2) 45
Heading (LV: 50+1) 51
Defensive positioning (LV: 52+1) 53

fitness

Strength 73
Stamina (LV: 78+5) 83
Jumping (LV: 66+2) 68
Leveled by UFLS Team GOAT Scout
Age 26 years (Mar 4, 1999)
Nationality ch
In-Game Stats (IGS) 1504
Height 181 cm (5’11”)
Weight 81 kg (179 lbs)
UFLS ID (Season based) 46200
League Super League
Club Servette FC
Preferred Foot Right
Left Foot ★★☆☆☆
Preferred Positions
CAM
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