Dukla Praha Predictions, Stats & Form
Recent Form
Dukla Prague Average Stats
Last 10 Matches
AI Predictions
10:00 Tamat |
Dukla Prague 
2
:
0
 |
|
|
|
2 |
U3.5 |
NO |
U3.5 |
8/10 |
10:00 Tamat |
Teplice 
0
:
0
|
|
|
|
2 |
U2.5 |
NO |
U2.5 |
5.3/10 |
13:00 Tamat |
Dukla Prague
0
:
2
 |
|
|
|
2 |
O2.5 |
NO |
AS2+ |
7.6/10 |
08:00 Tamat |
Bohemians 
1
:
0
|
|
|
|
1 |
U3.5 |
NO |
1 |
7.3/10 |
10:00 Tamat |
Dukla Prague
0
:
0
 |
|
|
|
1X |
U2.5 |
NO |
U2.5 |
3.9/10 |
08:00 Tamat |
Hradec K 
3
:
0
|
|
|
|
X2 |
U3.5 |
NO |
U3.5 |
5.2/10 |
13:00 Tamat |
 Dukla Prague
0
:
3
 |
|
|
|
2 |
U3.5 |
NO |
2 |
5.6/10 |
06:00 Tamat |
Liefering 
1
:
1
|
|
|
|
1 |
O2.5 |
YES |
O2.5 |
4.6/10 |
10:00 Tamat |
Dukla Praha
1
:
1
 |
|
|
|
2 |
U3.5 |
NO |
U3.5 |
3.8/10 |
About This Page
On this page, you can find football predictions, stats, and analysis for the team Dukla Praha. All predictions are generated using our AI algorithm, NT Apex. To date, the algorithm has predicted 134 matches involving Dukla Praha with a success rate of 76.12% for the best tip. The predictions include tips for Final Result, Under/Over, Both Teams to Score, Ball Possession, Total Shots, Corners, xG, Correct Score, etc.
Although active predictions are blurred without a subscription, we maintain full transparency: all completed matches remain visible, allowing you to review our performance history at any time.
| Stat | Home | Away | Total |
|---|---|---|---|
| Matches | 13 | 13 | 26 |
| Wins | 3 | 0 | 3 |
| Draws | 5 | 5 | 10 |
| Losses | 5 | 8 | 13 |
| Goals For | 11 | 5 | 16 |
| Goals Against | 16 | 20 | 36 |
| Avg Goals For | 0.8 | 0.4 | 0.6 |
| Avg Goals Against | 1.2 | 1.5 | 1.4 |
| Clean Sheets | 4 | 3 | 7 |
| Failed to Score | 5 | 9 | 14 |
| Player | Age | Pos | Rating |
|---|---|---|---|
H. Bačkovský
|
26 | GK | 7.33 |
B. Unušić
|
23 | DEF | 7.23 |
A. Jágrik
|
25 | GK | 7.07 |
M. Traore
|
22 | DEF | 6.92 |
S. Isife
|
21 | MID | 6.86 |
Z. Šehović
|
25 | MID | 6.84 |
R. Matrevics
|
26 | GK | 6.83 |
Lukáš Penxa
|
21 | DEF | 6.82 |
S. Tijani
|
23 | MID | 6.79 |
J. Svozil
|
32 | DEF | 6.77 |
D. Hašek
|
27 | DEF | 6.76 |
M. Čermák
|
27 | FWD | 6.76 |
M. Hanousek
|
34 | MID | 6.76 |
J. Peterka
|
35 | MID | 6.75 |
J. Fokam-Sandeu
|
24 | FWD | 6.72 |
E. Hunál
|
20 | DEF | 6.72 |
J. Kadák
|
25 | MID | 6.71 |
F. Matoušek
|
24 | DEF | 6.70 |
J. Hrubeš
|
24 | MID | 6.67 |
D. Kozma
|
30 | MID | 6.65 |
M. Pourzitídis
|
26 | DEF | 6.59 |
M. Žitný
|
20 | MID | 6.59 |
Š. Šebrle
|
23 | FWD | 6.56 |
M. Ambler
|
25 | MID | 6.53 |
P. Gaszczyk
|
20 | MID | 6.50 |
D. Velasquez
|
19 | MID | 6.49 |
N. Cissé
|
22 | FWD | 6.44 |
M. Černák
|
22 | MID | 6.44 |
M. Kroupa
|
18 | MID | 6.44 |
D. Kreiker
|
22 | FWD | 6.43 |
K. Milla
|
22 | FWD | 6.41 |
T. Jedlička
|
22 | FWD | 6.38 |
D. Gilbert
|
21 | MID | 6.35 |
T. Pekhart
|
36 | FWD | 6.33 |
Seif Ali Hindi
|
20 | FWD | 6.30 |
B. Diallo
|
34 | FWD | 6.27 |