Füzesgyarmati vs Jászberényi Vasas: result 2-0 and analysis
NB III - NortheastKeleti - 16Kick-off on November 24, 2019 at 12:00 PM (UTC)Lázár Gyula Sporttelep, Füzesgyarmat
Full time
What was the result of Füzesgyarmati vs Jászberényi Vasas?
Füzesgyarmati won 2-0 on November 24, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Füzesgyarmati have 12 wins, 0 draws and 3 defeats; Jászberényi Vasas have 7, 6 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 17, 2019 | Tiszaújváros(home) | 1-0 | NB III - Northeast |
| Nov 10, 2019 | Balassagyarmat VSE(away) | 3-1 | NB III - Northeast |
| Nov 3, 2019 | Sényő Carnifex(home) | 2-1 | NB III - Northeast |
| Oct 30, 2019 | Bekescsaba 1912(home) | 0-1 | Magyar Kupa |
| Oct 27, 2019 | DEAC(away) | 0-3 | NB III - Northeast |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 17, 2019 | Eger(away) | 1-1 | NB III - Northeast |
| Nov 10, 2019 | ESMTK(home) | 3-1 | NB III - Northeast |
| Nov 3, 2019 | Cegledi VSE(away) | 2-2 | NB III - Northeast |
| Oct 27, 2019 | FC Hatvan(home) | 2-2 | NB III - Northeast |
| Oct 20, 2019 | Tiszaújváros(home) | 1-2 | NB III - Northeast |
What does the head-to-head say?
Across the last 1 meetings: 0 Füzesgyarmati win(s), 0 draw(s), 1 Jászberényi Vasas win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 4, 2019 | Jászberényi Vasas 1-0 Füzesgyarmati | NB III - Northeast |
Last archived meeting: Jászberényi Vasas vs Füzesgyarmati on Aug 4, 2019
How many goals should we expect?
Füzesgyarmati score 1.9 and concede 1.1 goals per match over their last 15; Jászberényi Vasas score 2.2 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Füzesgyarmati | 1.9 | 1.1 | 4 | 9/15 | 11/15 |
| Jászberényi Vasas | 2.2 | 1.4 | 3 | 12/15 | 11/15 |
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