Füzesgyarmati vs Sényő Carnifex: result 2-1 and analysis
NB III - NortheastKeleti - 13Kick-off on November 3, 2019 at 12:30 PM (UTC)Lázár Gyula Sporttelep, Füzesgyarmat
Full time
What was the result of Füzesgyarmati vs Sényő Carnifex?
Füzesgyarmati won 2-1 on November 3, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Füzesgyarmati have 10 wins, 0 draws and 5 defeats; Sényő Carnifex have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 30, 2019 | Bekescsaba 1912(home) | 0-1 | Magyar Kupa |
| Oct 27, 2019 | DEAC(away) | 0-3 | NB III - Northeast |
| Oct 12, 2019 | Tállya(away) | 2-1 | NB III - Northeast |
| Oct 6, 2019 | Putnok VSE(home) | 3-2 | NB III - Northeast |
| Sep 29, 2019 | Debrecen II(away) | 3-2 | NB III - Northeast |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 30, 2019 | Mezokovesd-zsory(home) | 1-2 | Magyar Kupa |
| Oct 27, 2019 | Eger(home) | 2-1 | NB III - Northeast |
| Oct 20, 2019 | ESMTK(away) | 2-2 | NB III - Northeast |
| Oct 12, 2019 | Cegledi VSE(home) | 5-1 | NB III - Northeast |
| Oct 6, 2019 | Jászberényi Vasas(away) | 0-3 | NB III - Northeast |
How many goals should we expect?
Füzesgyarmati score 1.7 and concede 1.1 goals per match over their last 15; Sényő Carnifex score 1.9 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Füzesgyarmati | 1.7 | 1.1 | 4 | 7/15 | 9/15 |
| Sényő Carnifex | 1.9 | 1.9 | 1 | 12/15 | 14/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | Sényő Carnifex | 30 | 7 | 7 | 16 | 32 | 74 | 28 |
A question about Füzesgyarmati vs Sényő Carnifex?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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