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      Pos No. Name Age Fit Country Skills Gam Avg Gls Ass MoM Wage Confidence  
 
16.
Balázs Ács
30
97%
77
23
5,91
0
0
1
€8000
Very High
 
1.
Pál Bene
39
90%
50
6
5,17
0
0
0
€8800
Below Average
 
 
Attila Waltner
19
99%
77
1
5,00
0
0
0
€2000
Average
 
29.
Balázs Kercsó
32
96%
184
23
5,70
0
3
0
€6000
High
 
2.
Csongor Géczy
28
94%
178
25
5,60
1
7
0
€7200
Very High
 
 
Erik Csernik
20
99%
81
1
5,00
0
0
0
€4000
Average
 
6.
Hugó Gittai
30
94%
172
22
6,09
1
4
0
€6000
Exaggerated
 
3.
Péter Benkö
37
92%
125
3
4,67
0
0
0
€6000
Low
 
18.
Szabolcs Biros
29
91%
176
24
5,71
0
4
0
€6000
High
 
77.
Endre Nyilas
30
94%
189
23
6,96
0
24
3
€6000
Very High
 
7.
Gergely Magenheim
32
93%
178
9
6,11
0
4
0
€6000
Average
 
9.
Kristóf Lövész
30
96%
186
22
6,82
7
3
2
€7200
Exaggerated
 
85.
Lehel Lyka
31
94%
192
15
6,53
1
5
0
€6000
Exaggerated
 
12.
Mátyás Martonyi
30
97%
191
24
7,58
26
13
5
€6000
Exaggerated
 
69.
Miklós Kolompár
30
97%
186
16
6,88
14
7
2
€7200
Exaggerated
 
99.
Tibor Baranyi
30
94%
177
19
5,89
0
2
0
€6000
Exaggerated
 
17.
Valter Somló
29
89%
182
23
6,78
18
9
1
€6000
Exaggerated
 
22.
García Ochoa
30
89%
180
23
7,57
34
5
1
€6000
Exaggerated
 
8.
Menyhért Tordai
30
94%
178
21
7,76
50
5
3
€7200
Exaggerated
 
13.
Renátó Filep
30
97%
192
18
6,17
8
4
1
€7200
Very High
 
11.
Viktor Iffiú
30
97%
184
17
6,94
6
35
3
€7200
Exaggerated
 


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