Jászberényi Vasas vs Mezőkövesd II: result 1-0 and analysis
NB III - NortheastKeleti - 28Kick-off on April 11, 2021 at 02:30 PM (UTC)Városi Stadion, Jászberény
Full time
What was the result of Jászberényi Vasas vs Mezőkövesd II?
Jászberényi Vasas won 1-0 on April 11, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Jászberényi Vasas have 8 wins, 4 draws and 3 defeats; Mezőkövesd II have 3, 3 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 4, 2021 | Salgótarján(away) | 0-2 | NB III - Northeast |
| Mar 27, 2021 | Tiszafuredi VSE(home) | 3-0 | NB III - Northeast |
| Mar 21, 2021 | Balassagyarmat VSE(away) | 0-0 | NB III - Northeast |
| Mar 14, 2021 | Tiszakecske FC(home) | 1-2 | NB III - Northeast |
| Mar 7, 2021 | Cegledi VSE(away) | 1-1 | NB III - Northeast |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 4, 2021 | Gyöngyös(home) | 1-2 | NB III - Northeast |
| Mar 27, 2021 | Füzesgyarmati(away) | 0-5 | NB III - Northeast |
| Mar 21, 2021 | FC Hatvan(home) | 0-0 | NB III - Northeast |
| Mar 14, 2021 | Tállya(away) | 1-2 | NB III - Northeast |
| Mar 7, 2021 | Putnok VSE(home) | 2-0 | NB III - Northeast |
What does the head-to-head say?
Across the last 1 meetings: 1 Jászberényi Vasas win(s), 0 draw(s), 0 Mezőkövesd II win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 9, 2020 | Mezőkövesd II 1-4 Jászberényi Vasas | NB III - Northeast |
Last archived meeting: Mezőkövesd II vs Jászberényi Vasas on Sep 9, 2020
How many goals should we expect?
Jászberényi Vasas score 1.9 and concede 1.1 goals per match over their last 15; Mezőkövesd II score 1.5 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Jászberényi Vasas | 1.9 | 1.1 | 7 | 6/15 | 9/15 |
| Mezőkövesd II | 1.5 | 2.3 | 2 | 10/15 | 12/15 |
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