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      Pos No. Name Age Fit Country Skills Gam Avg Gls Ass MoM Wage Confidence  
 
16.
Balázs Ács
29
93%
78
19
5,21
0
0
0
€8000
Average
 
1.
Pál Bene
38
97%
56
7
5,14
0
0
0
€8800
Below Average
 
29.
Balázs Kercsó
31
97%
187
19
5,53
0
1
1
€6000
High
 
2.
Csongor Géczy
27
92%
178
13
5,38
0
2
0
€7200
Average
 
3.
Péter Benkö
36
92%
140
5
5,00
0
0
0
€6000
Average
 
18.
Szabolcs Biros
28
99%
176
20
5,85
0
4
0
€6000
High
 
77.
Endre Nyilas
29
95%
191
16
6,06
0
3
0
€6000
Exaggerated
 
7.
Gergely Magenheim
31
90%
183
7
6,29
0
3
0
€6000
Average
 
6.
Hugó Gittai
29
100%
173
15
5,20
0
3
0
€6000
High
 
9.
Kristóf Lövész
29
98%
186
15
6,00
0
3
0
€6000
Exaggerated
 
85.
Lehel Lyka
30
96%
195
17
6,82
2
9
1
€6000
High
 
12.
Mátyás Martonyi
29
98%
191
19
7,00
7
5
1
€6000
Exaggerated
 
69.
Miklós Kolompár
29
97%
188
17
6,53
8
5
0
€6000
Exaggerated
 
99.
Tibor Baranyi
29
93%
180
12
6,25
0
3
1
€6000
Very High
 
17.
Valter Somló
28
96%
183
18
7,00
19
2
4
€6000
Very High
 
8.
Menyhért Tordai
29
95%
192
16
6,69
7
4
2
€6000
Exaggerated
 
 
Norbert Csiha
-
100%
0
0
0.00
0
0
0
€6000
Very High
 
13.
Renátó Filep
29
92%
195
17
6,06
5
1
1
€7200
Exaggerated
 
22.
Tamás Bán
29
93%
184
14
7,93
23
4
5
€6000
Exaggerated
 
11.
Viktor Iffiú
29
98%
185
18
6,61
4
10
0
€8000
Very High
 


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