Puskas Academy Predictions, Stats & Form
Recent Form
Puskas A Average Stats
Last 10 Matches
AI Predictions
14:00 Finished |
Puskas A 
2
:
2
 |
|
|
|
X |
U3.5 |
NO |
1X |
2/10 |
14:00 Finished |
Zalaegerszegi 
1
:
3
|
|
|
|
1 |
U3.5 |
NO |
1X |
8.5/10 |
11:00 Finished |
Puskas A
2
:
0
 |
|
|
|
2 |
O1.5 |
YES |
O1.5 |
3.9/10 |
08:15 Finished |
 Paks 
1
:
0
|
|
|
|
1 |
O2.5 |
YES |
1X |
6.3/10 |
12:45 Finished |
Ferencvarosi 
2
:
1
|
|
|
|
1 |
O2.5 |
YES |
1 |
5.5/10 |
11:45 Finished |
Puskas A
1
:
4
 |
|
|
|
2 |
U3.5 |
YES |
X2 |
8.5/10 |
08:30 Finished |
Diosgyori V 
1
:
2
|
|
|
|
X |
U3.5 |
YES |
U3.5 |
3.8/10 |
08:30 Finished |
Puskas A
1
:
1
 |
|
|
|
2 |
U3.5 |
YES |
U3.5 |
4.8/10 |
Puskas Academy Predictions & Betting Tips
Looking for Puskas Academy predictions? NerdyTips provides AI-generated football tips for Puskas Academy powered by our algorithm, NT Apex. To date, we have analyzed 154 matches involving Puskas Academy with a best-tip accuracy of 65.58%. Predictions cover Final Result, Under/Over, Both Teams to Score, Correct Score, xG, Corners & Ball Possession.
In the current NB I season, Puskas Academy have recorded 13 wins, 6 draws and 13 losses across 32 matches, scoring 41 goals (1.3 per game) and conceding 41, with 7 clean sheets.
Over the last 10 matches, Puskas Academy average 45% ball possession, 1.21 xG and 5.7 corners per game, with a 40% win rate.
Puskas Academy currently have an estimated market value of €14.25m.
NerdyTips is built on full transparency — all completed Puskas Academy predictions stay visible so you can verify our track record anytime. Upcoming match predictions require a subscription.
| Stat | Home | Away | Total |
|---|---|---|---|
| Matches | 15 | 17 | 32 |
| Wins | 5 | 8 | 13 |
| Draws | 3 | 3 | 6 |
| Losses | 7 | 6 | 13 |
| Goals For | 18 | 23 | 41 |
| Goals Against | 22 | 19 | 41 |
| Avg Goals For | 1.2 | 1.4 | 1.3 |
| Avg Goals Against | 1.5 | 1.1 | 1.3 |
| Clean Sheets | 3 | 4 | 7 |
| Failed to Score | 3 | 3 | 6 |
| Player | Age | Pos | Rating |
|---|---|---|---|
D. Lukács
|
29 | MID | 7.10 |
P. Szappanos
|
35 | GK | 7.03 |
B. Ormonde-Ottewill
|
30 | DEF | 6.95 |
L. Duarte
|
28 | MID | 6.88 |
A. Favorov
|
31 | MID | 6.87 |
Q. Maceiras
|
30 | DEF | 6.86 |
P. Stronati
|
31 | DEF | 6.85 |
Z. Magyar
|
24 | MID | 6.77 |
W. Golla
|
33 | DEF | 6.76 |
G. Harutyunyan
|
21 | MID | 6.76 |
A. Németh
|
23 | FWD | 6.76 |
B. Vekony
|
20 | FWD | 6.76 |
M. Semel
|
22 | FWD | 6.68 |
U. Nissilä
|
29 | MID | 6.66 |
M. Kern
|
19 | MID | 6.65 |
Z. Nagy
|
32 | MID | 6.63 |
J. Fameyeh
|
28 | FWD | 6.62 |
R. Szolnoki
|
33 | DEF | 6.62 |
Michael Okeke
|
20 | MID | 6.57 |
P. Dárdai
|
26 | MID | 6.56 |
M. Soisalo
|
27 | MID | 6.52 |
L. Colley
|
32 | FWD | 6.47 |
K. Mondovics
|
18 | FWD | 6.41 |
A. Markgráf
|
20 | DEF | 6.40 |
R. Orján
|
20 | DEF | 6.36 |
Z. Nagy
|
25 | FWD | 6.20 |
D. Asvanyi
|
19 | MID | 6.00 |