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      Pos No. Name Age Fit Country Skills Gam Avg Gls Ass MoM Wage Confidence  
 
16.
Balázs Ács
29
99%
78
14
5,21
0
0
0
€8000
Very High
 
1.
Pál Bene
38
97%
56
5
5,40
0
0
0
€8800
Below Average
 
29.
Balázs Kercsó
31
96%
189
13
5,77
0
0
1
€6000
High
 
2.
Csongor Géczy
27
90%
190
8
5,62
0
1
0
€7200
Average
 
3.
Péter Benkö
36
92%
145
3
5,33
0
0
0
€6000
Average
 
18.
Szabolcs Biros
28
100%
183
14
5,71
0
1
0
€6000
High
 
77.
Endre Nyilas
29
99%
191
11
6,09
0
3
0
€6000
Very High
 
7.
Gergely Magenheim
30
94%
183
4
6,75
0
3
0
€6000
Below Average
 
6.
Hugó Gittai
29
100%
184
10
5,30
0
2
0
€6000
Exaggerated
 
9.
Kristóf Lövész
29
89%
195
10
6,10
0
1
0
€6000
Very High
 
85.
Lehel Lyka
30
92%
195
12
6,83
1
6
1
€6000
Very High
 
12.
Mátyás Martonyi
29
96%
195
13
7,15
5
3
1
€6000
Exaggerated
 
69.
Miklós Kolompár
29
92%
189
12
6,33
5
2
0
€6000
Exaggerated
 
99.
Tibor Baranyi
29
95%
180
6
6,17
0
2
0
€6000
Very High
 
17.
Valter Somló
28
94%
194
11
7,36
10
1
3
€6000
Very High
 
8.
Menyhért Tordai
29
96%
193
13
6,69
6
3
1
€6000
Exaggerated
 
 
Norbert Csiha
-
100%
0
0
0.00
0
0
0
€6000
Very High
 
13.
Renátó Filep
29
98%
195
12
6,25
5
1
1
€6000
Exaggerated
 
22.
Tamás Bán
29
93%
187
8
8,12
10
3
2
€6000
Exaggerated
 
11.
Viktor Iffiú
29
95%
192
11
6,73
2
6
0
€8000
Exaggerated
 


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