Kisvarda FC vs Paks: result 0-1 and analysis
Magyar KupaQuarter-finalsKick-off on April 2, 2025 at 03:00 PM (UTC)Várkerti Stadion, Kisvárda
Full time
What was the result of Kisvarda FC vs Paks?
Paks won 0-1 on April 2, 2025.
Goalscorers
- 71′A. OsváthPaks
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kisvarda FC have 9 wins, 4 draws and 2 defeats; Paks have 11, 4 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 30, 2025 | Mezokovesd-zsory(home) | 2-1 | NB II |
| Mar 16, 2025 | Soroksar(away) | 2-1 | NB II |
| Mar 9, 2025 | Ajka(home) | 4-0 | NB II |
| Mar 3, 2025 | Kozarmisleny FC(away) | 3-2 | NB II |
| Feb 26, 2025 | SC Sopron(away) | 3-0 | Magyar Kupa |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 29, 2025 | Zalaegerszegi TE(away) | 1-1 | NB I |
| Mar 21, 2025 | Kozarmisleny FC(home) | 3-2 | Friendlies Clubs |
| Mar 14, 2025 | Ujpest(home) | 6-1 | NB I |
| Mar 8, 2025 | Diosgyori VTK(away) | 2-0 | NB I |
| Mar 2, 2025 | Kecskeméti TE(away) | 2-2 | NB I |
What does the head-to-head say?
Across the last 6 meetings: 0 Kisvarda FC win(s), 1 draw(s), 5 Paks win(s).
| Date | Score | Competition |
|---|---|---|
| May 18, 2024 | Paks 2-1 Kisvarda FC | NB I |
| Apr 23, 2024 | Paks 2-1 Kisvarda FC | Magyar Kupa |
| Feb 25, 2024 | Kisvarda FC 0-1 Paks | NB I |
| Oct 29, 2023 | Paks 3-1 Kisvarda FC | NB I |
| Apr 23, 2023 | Paks 2-0 Kisvarda FC | NB I |
| Jan 28, 2023 | Kisvarda FC 2-2 Paks | NB I |
How many goals should we expect?
Kisvarda FC score 1.8 and concede 0.9 goals per match over their last 15; Paks score 2.6 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kisvarda FC | 1.8 | 0.9 | 4 | 10/15 | 9/15 |
| Paks | 2.6 | 1.1 | 5 | 10/15 | 9/15 |
Over the last 15 matches in all competitions.
How does Footlab compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy