Salgótarján vs Tiszafuredi VSE: result 2-1 and analysis
NB III - NortheastKeleti - 17Kick-off on November 8, 2020 at 12:30 PM (UTC)Szojka Ferenc Stadion, Salgótarján
Full time
What was the result of Salgótarján vs Tiszafuredi VSE?
Salgótarján won 2-1 on November 8, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Salgótarján have 4 wins, 3 draws and 8 defeats; Tiszafuredi VSE have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 1, 2020 | Balassagyarmat VSE(away) | 1-1 | NB III - Northeast |
| Oct 28, 2020 | Pécsi MFC(home) | 1-3 | Magyar Kupa |
| Oct 25, 2020 | Tiszakecske FC(home) | 1-3 | NB III - Northeast |
| Oct 18, 2020 | Cegledi VSE(away) | 0-3 | NB III - Northeast |
| Oct 10, 2020 | Kisvárda II(home) | 0-1 | NB III - Northeast |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 1, 2020 | Eger(home) | 0-0 | NB III - Northeast |
| Oct 28, 2020 | Zalaszentgrót(away) | 1-0 | Magyar Kupa |
| Oct 18, 2020 | Tiszakecske FC(away) | 1-2 | NB III - Northeast |
| Oct 10, 2020 | Cegledi VSE(home) | 3-0 | NB III - Northeast |
| Oct 7, 2020 | Putnok VSE(home) | 3-2 | Magyar Kupa |
How many goals should we expect?
Salgótarján score 1.7 and concede 1.9 goals per match over their last 15; Tiszafuredi VSE score 1.9 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Salgótarján | 1.7 | 1.9 | 2 | 11/15 | 11/15 |
| Tiszafuredi VSE | 1.9 | 1.5 | 3 | 10/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Tiszafuredi VSE | 12 | 3 | 1 | 8 | 6 | 18 | 10 |
A question about Salgótarján vs Tiszafuredi VSE?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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