Paks vs Kisvarda FC: result 2-1 and analysis
Magyar KupaSemi-finalsKick-off on April 23, 2024 at 06:00 PM (UTC)Paksi FC Stadion, Paks
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What was the result of Paks vs Kisvarda FC?
Paks won 2-1 on April 23, 2024.
Goalscorers
- 21′B. MatićKisvarda FC
- 27′K. PappPaks
- 53′J. HahnPaks
What is the recent form of both teams?
Over their last 15 matches in all competitions, Paks have 8 wins, 1 draws and 6 defeats; Kisvarda FC have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 20, 2024 | Puskas Academy(away) | 0-5 | NB I |
| Apr 13, 2024 | Fehérvár FC(home) | 1-2 | NB I |
| Apr 7, 2024 | Ferencvarosi TC(away) | 0-1 | NB I |
| Apr 3, 2024 | Vasas(away) | 5-2 | Magyar Kupa |
| Mar 31, 2024 | Ujpest(home) | 1-2 | NB I |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 20, 2024 | Ferencvarosi TC(away) | 0-0 | NB I |
| Apr 13, 2024 | Ujpest(home) | 4-1 | NB I |
| Apr 6, 2024 | Diosgyori VTK(away) | 1-1 | NB I |
| Apr 2, 2024 | MTK Budapest(home) | 3-2 | Magyar Kupa |
| Mar 30, 2024 | Debreceni VSC(home) | 1-3 | NB I |
What does the head-to-head say?
Across the last 6 meetings: 3 Paks win(s), 1 draw(s), 2 Kisvarda FC win(s).
| Date | Score | Competition |
|---|---|---|
| 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 |
| Aug 31, 2022 | Paks 1-3 Kisvarda FC | NB I |
| May 8, 2022 | Paks 0-1 Kisvarda FC | NB I |
How many goals should we expect?
Paks score 1.5 and concede 1.4 goals per match over their last 15; Kisvarda FC score 1.5 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Paks | 1.5 | 1.4 | 5 | 8/15 | 8/15 |
| Kisvarda FC | 1.5 | 1.5 | 3 | 10/15 | 10/15 |
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