Vasas II vs Putnok VSE: result 1-2 and analysis
NB III - NortheastKeleti - 14Kick-off on October 22, 2022 at 11:00 AM (UTC)Illovszky Rudolf Stadion, Budapest
Full time
What was the result of Vasas II vs Putnok VSE?
Putnok VSE won 1-2 on October 22, 2022.
Goalscorers
- 10′?Putnok VSE
- 27′?Putnok VSE
- 30′?Vasas II
What is the recent form of both teams?
Over their last 13 matches in all competitions, Vasas II have 5 wins, 3 draws and 5 defeats; Putnok VSE have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 16, 2022 | Debrecen II(home) | 2-4 | NB III - Northeast |
| Oct 9, 2022 | Füzesgyarmati(away) | 3-0 | NB III - Northeast |
| Oct 2, 2022 | Békéscsaba II(home) | 7-2 | NB III - Northeast |
| Sep 28, 2022 | FC Hatvan(away) | 2-3 | NB III - Northeast |
| Sep 25, 2022 | Kisvárda II(home) | 1-1 | NB III - Northeast |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 16, 2022 | BVSC(home) | 1-1 | NB III - Northeast |
| Oct 9, 2022 | Debrecen II(away) | 0-3 | NB III - Northeast |
| Oct 2, 2022 | DEAC(home) | 1-0 | NB III - Northeast |
| Sep 28, 2022 | Füzesgyarmati(away) | 1-3 | NB III - Northeast |
| Sep 25, 2022 | Körösladány(home) | 1-1 | NB III - Northeast |
How many goals should we expect?
Vasas II score 2.7 and concede 1.7 goals per match over their last 13; Putnok VSE score 1.8 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vasas II | 2.7 | 1.7 | 3 | 9/13 | 10/13 |
| Putnok VSE | 1.8 | 1.3 | 2 | 10/15 | 9/15 |
Over the last 13 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 Vasas II 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