Prediction: Paksi vs Ferencvarosi TC
| Paksi | Draw | Ferencvarosi TC | |
|---|---|---|---|
| Our model | 27% | 24% | 49% |
| Market | 26% | 25% | 49% |
The bar above blends our model with the market: where our probability diverges most from the odds is where the model sees the widest gap.
Match keys
- Our model (Elo, opponent-adjusted) favours Ferencvarosi TC (rating 1534 vs 1603).
- H2H favours Ferencvarosi TC: 3-2-1.
- High corners: 12.7 combined avg.
- Cards-heavy: 5.3 🟨 combined avg.
Statistics · 10/10 matches analysed
F = for · A = against · HT = half-time · FT = full-time
| Paksi | Ferencvarosi TC | |
|---|---|---|
| Goals for / against (FT) | 3.4 / 2.1 | 1.9 / 0.5 |
| Goals for / against (HT) | 1.9 / 1.1 | 1 / 0.3 |
| Half-time result (W/D/L) | 60/0/40% | 50/50/0% |
| Corners (HT / FT) | 3.4 / 7 | 2.1 / 5.7 |
| Cards (🟨 / 🟥) | 1.6 / 0 | 3.7 / 0.2 |
Head-to-head (H2H) · Paksi 1–2–3 Ferencvarosi TC
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| Date | Home | Score | Away |
|---|---|---|---|
| 26/04/26 Hungary NB I | Ferencvarosi TC | 2-0 HT 1-0 | Paksi |
| 01/02/26 Hungary NB I | Paksi | 0-1 HT 0-0 | Ferencvarosi TC |
| 05/10/25 Hungary NB I | Ferencvarosi TC | 2-2 HT 1-1 | Paksi |
| 14/05/25 Hungary Cup | Ferencvarosi TC | 1-1 HT 0-1 | Paksi |
| 10/05/25 Hungary NB I | Paksi | 2-3 HT 1-0 | Ferencvarosi TC |
| 16/02/25 Hungary NB I | Ferencvarosi TC | 0-2 HT 0-0 | Paksi |
Standings · Hungary NB I
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| # | Team | P | W | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|
| 1 | Kispest Honved | 0 | 0 | 0 | 0 | 0 | 0 |
| 1 | Debreceni VSC | 0 | 0 | 0 | 0 | 0 | 0 |
| 1 | Gyori ETO | 0 | 0 | 0 | 0 | 0 | 0 |
| 1 | Ferencvarosi TC | 0 | 0 | 0 | 0 | 0 | 0 |
| 1 | Kisvarda FC | 0 | 0 | 0 | 0 | 0 | 0 |
| 1 | MTK Budapest | 0 | 0 | 0 | 0 | 0 | 0 |
| 1 | Nyiregyhaza Spartacus | 0 | 0 | 0 | 0 | 0 | 0 |
| 1 | Paksi | 0 | 0 | 0 | 0 | 0 | 0 |
| 1 | Puskas Academy | 0 | 0 | 0 | 0 | 0 | 0 |
| 1 | Ujpest | 0 | 0 | 0 | 0 | 0 | 0 |
| 1 | Vasas SC | 0 | 0 | 0 | 0 | 0 | 0 |
| 1 | Zalaegerszegi TE | 0 | 0 | 0 | 0 | 0 | 0 |
Last 10 matches played
The averages above come from these matches. W = win, D = draw, L = loss. Common opponents to both are in blue.
Paksi
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| Date | Opponent | HT | FT | Cor. | Cards | Res. |
|---|---|---|---|---|---|---|
| 17/07 | FK Austria Vienna Europe Friendlies |
0-1 | 1-4 | 2 | 1 | L |
| 16/07 | Slaven Belupo Europe Friendlies |
3-1 | 5-3 | 8 | 3 | W |
| 11/07 | Kozarmisleny SE Europe Friendlies |
0-2 | 0-3 | 11 | 0 | L |
| 08/07 | Maccabi Haifa Europe Friendlies |
2-1 | 3-3 | 8 | 1 | D |
| 04/07 | NK Osijek Europe Friendlies |
1-0 | 4-0 | – | – | W |
| 02/07 | Dundee Club Friendly List |
0-1 | 1-2 | – | – | L |
| 27/06 | KFC Komarno Europe Friendlies |
2-1 | 4-1 | 6 | 2 | W |
| 24/06 | Szentlorinc SE Europe Friendlies |
2-3 | 3-3 | 7 | 0 | D |
| 20/06 | Kelen SC Europe Friendlies |
6-1 | 10-1 | – | – | W |
| 16/05 | Diosgyori VTK Hungary NB I |
3-0 | 3-1 | 7 | 4 | W |
Ferencvarosi TC
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| Date | Opponent | HT | FT | Cor. | Cards | Res. |
|---|---|---|---|---|---|---|
| 16/07 | Vojvodina UEFA Europa League Qualifying |
2-0 | 3-0 | 6 | 4 | W |
| 09/07 | Vojvodina UEFA Europa League Qualifying |
1-1 | 2-1 | 8 | 3 | W |
| 01/07 | FK Qarabag Europe Friendlies |
1-0 | 1-0 | 4 | 0 | W |
| 28/06 | Sabah Europe Friendlies |
1-0 | 1-1 | 1 | 0 | D |
| 16/05 | Zalaegerszegi TE Hungary NB I |
0-0 | 3-0 | 5 | 2 | W |
| 09/05 | Zalaegerszegi TE Hungary Cup |
0-0 | 0-0 | 11 | 4 | D |
| 03/05 | Ujpest Hungary NB I |
2-0 | 5-0 | 5 | 5 | W |
| 26/04 | Paksi Hungary NB I |
1-0 | 2-0 | 7 | 7 | W |
| 22/04 | Gyori ETO Hungary Cup |
2-2 | 2-2 | 4 | 7 | D |
| 19/04 | Gyori ETO Hungary NB I |
0-0 | 0-1 | 6 | 7 | L |
Frequently asked questions
Who is the favourite in Paksi vs Ferencvarosi TC?
According to our model, the most likely result is an Ferencvarosi TC win (49%). Probabilities: Paksi 27%, draw 25%, Ferencvarosi TC 49%.
How many goals are expected in Paksi vs Ferencvarosi TC?
The model expects 3.26 goals (Paksi 1.36 · Ferencvarosi TC 1.89), with a 51% chance of over 3 goals.
Will both teams score in Paksi vs Ferencvarosi TC?
The model gives a 57% chance that both teams score.
What is the most likely score?
The most likely score according to our model is 1-1.

