BKV Előre vs Putnok VSE: result 1-0 and analysis
NB III - NortheastKeleti - 5Kick-off on September 1, 2021 at 02:00 PM (UTC)BKV Előre Stadion, Budapest
Full time
What was the result of BKV Előre vs Putnok VSE?
BKV Előre won 1-0 on September 1, 2021.
Goalscorers
- 15′Attila BusaiBKV Előre
What is the recent form of both teams?
Over their last 15 matches in all competitions, BKV Előre have 7 wins, 3 draws and 5 defeats; Putnok VSE have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 22, 2021 | Hidasnémeti(away) | 5-0 | NB III - Northeast |
| Aug 15, 2021 | Törökszentmiklós(home) | 4-1 | NB III - Northeast |
| Aug 11, 2021 | Diósgyőr II(away) | 4-1 | NB III - Northeast |
| Aug 7, 2021 | Törökszentmiklós(away) | 0-2 | Magyar Kupa |
| Aug 1, 2021 | Salgótarjáni BTC(home) | 3-0 | NB III - Northeast |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 28, 2021 | Balassagyarmat VSE(away) | 0-3 | Magyar Kupa |
| Aug 22, 2021 | DEAC(home) | 0-0 | NB III - Northeast |
| Aug 15, 2021 | Jászberényi Vasas(away) | 1-2 | NB III - Northeast |
| Aug 11, 2021 | Füzesgyarmati(away) | 0-0 | NB III - Northeast |
| Aug 7, 2021 | Eger(away) | 2-1 | Magyar Kupa |
How many goals should we expect?
BKV Előre score 1.8 and concede 1.5 goals per match over their last 15; Putnok VSE score 1.5 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| BKV Előre | 1.8 | 1.5 | 5 | 6/15 | 9/15 |
| Putnok VSE | 1.5 | 1.5 | 4 | 9/15 | 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 | Putnok VSE | 30 | 9 | 5 | 16 | 44 | 52 | 32 |
A question about BKV Előre vs Putnok VSE?
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