Ajka vs Mezokovesd-zsory: result 1-2 and analysis
Magyar KupaRound of 32Kick-off on February 10, 2021 at 02:00 PM (UTC)Ajkai Városi Sportcentrum, Ajka
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What was the result of Ajka vs Mezokovesd-zsory?
Mezokovesd-zsory won 1-2 on February 10, 2021.
Goalscorers
- 36′K. SzűcsAjka
- 39′R. PillárMezokovesd-zsory
- 76′M. MartićMezokovesd-zsory
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ajka have 6 wins, 2 draws and 7 defeats; Mezokovesd-zsory have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 7, 2021 | Csakvar(home) | 2-2 | NB II |
| Jan 31, 2021 | Bekescsaba 1912(away) | 3-0 | NB II |
| Dec 13, 2020 | Kazincbarcikai(away) | 0-1 | NB II |
| Dec 6, 2020 | Gyori ETO FC(away) | 1-3 | NB II |
| Nov 29, 2020 | Nyiregyhaza(away) | 2-1 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 6, 2021 | Budapest Honved(home) | 2-1 | NB I |
| Feb 2, 2021 | Fehérvár FC(away) | 0-0 | NB I |
| Jan 30, 2021 | Ujpest(home) | 3-2 | NB I |
| Jan 23, 2021 | Kisvarda FC(away) | 0-0 | NB I |
| Dec 20, 2020 | Puskas Academy(home) | 1-0 | NB I |
What does the head-to-head say?
Across the last 4 meetings: 0 Ajka win(s), 2 draw(s), 2 Mezokovesd-zsory win(s).
| Date | Score | Competition |
|---|---|---|
| May 8, 2016 | Ajka 0-1 Mezokovesd-zsory | NB II |
| Oct 24, 2015 | Mezokovesd-zsory 2-2 Ajka | NB II |
| Feb 28, 2015 | Ajka 1-1 Mezokovesd-zsory | NB II |
| Aug 23, 2014 | Mezokovesd-zsory 3-1 Ajka | NB II |
Last archived meeting: Ajka vs Mezokovesd-zsory on May 8, 2016
How many goals should we expect?
Ajka score 1.4 and concede 1.3 goals per match over their last 15; Mezokovesd-zsory score 1.3 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ajka | 1.4 | 1.3 | 5 | 7/15 | 10/15 |
| Mezokovesd-zsory | 1.3 | 1.3 | 4 | 7/15 | 8/15 |
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