Paks vs Vasas: result 1-3 and analysis
Friendlies ClubsClub Friendlies 3Kick-off on July 1, 2023 at 12:00 AM (UTC)Paksi FC Stadion, Paks
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What was the result of Paks vs Vasas?
Vasas won 1-3 on July 1, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Paks have 8 wins, 2 draws and 5 defeats; Vasas have 2, 5 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 26, 2023 | Zalaegerszegi TE(away) | 1-1 | NB I |
| May 19, 2023 | Puskas Academy(home) | 0-2 | NB I |
| May 14, 2023 | Mezokovesd-zsory(away) | 1-6 | NB I |
| May 6, 2023 | Debreceni VSC(home) | 0-0 | NB I |
| Apr 28, 2023 | Kecskeméti TE(away) | 3-2 | NB I |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 28, 2023 | Komárno(home) | 1-1 | Friendlies Clubs |
| May 27, 2023 | Fehérvár FC(home) | 0-0 | NB I |
| May 19, 2023 | Kisvarda FC(away) | 1-2 | NB I |
| May 13, 2023 | Zalaegerszegi TE(home) | 1-1 | NB I |
| May 6, 2023 | Ujpest(away) | 1-1 | NB I |
What does the head-to-head say?
Across the last 6 meetings: 3 Paks wins, 1 draw, 2 Vasas wins.
| Date | Score | Competition |
|---|---|---|
| Mar 19, 2023 | Vasas 2-3 Paks | NB I |
| Mar 1, 2023 | Paks 2-3 Vasas | Magyar Kupa |
| Oct 29, 2022 | Paks 0-1 Vasas | NB I |
| Aug 5, 2022 | Vasas 2-2 Paks | NB I |
| May 5, 2018 | Vasas 0-1 Paks | NB I |
| Dec 2, 2017 | Paks 3-1 Vasas | NB I |
How many goals should we expect?
Paks score 1.9 and concede 1.8 goals per match over their last 15; Vasas score 1.1 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Paks | 1.9 | 1.8 | 2 | 11/15 | 10/15 |
| Vasas | 1.1 | 1.7 | 1 | 10/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Paks vs Vasas?
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy