Vasas II vs Debrecen II: result 2-4 and analysis
NB III - NortheastKeleti - 13Kick-off on October 16, 2022 at 11:00 AM (UTC)Illovszky Rudolf Stadion, Budapest
Full time
What was the result of Vasas II vs Debrecen II?
Debrecen II won 2-4 on October 16, 2022.
Goalscorers
- 25′?Vasas II
- 33′?Debrecen II
- 45′?Vasas II
- 60′?Debrecen II
- 87′B. RáczDebrecen II
- 90′?Debrecen II
What is the recent form of both teams?
Over their last 12 matches in all competitions, Vasas II have 5 wins, 3 draws and 4 defeats; Debrecen II have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Sep 11, 2022 | Tiszaújváros(away) | 9-0 | NB III - Northeast |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 9, 2022 | Putnok VSE(home) | 3-0 | NB III - Northeast |
| Oct 2, 2022 | Füzesgyarmati(home) | 1-1 | NB III - Northeast |
| Sep 28, 2022 | Békéscsaba II(away) | 1-5 | NB III - Northeast |
| Sep 25, 2022 | FC Hatvan(home) | 1-2 | NB III - Northeast |
| Sep 11, 2022 | Kisvárda II(away) | 2-1 | NB III - Northeast |
How many goals should we expect?
Vasas II score 2.8 and concede 1.5 goals per match over their last 12; Debrecen II score 1.3 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vasas II | 2.8 | 1.5 | 3 | 8/12 | 9/12 |
| Debrecen II | 1.3 | 1.9 | 2 | 10/15 | 10/15 |
Over the last 12 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Debrecen II | 11 | 6 | 1 | 4 | 29 | 21 | 19 |
A question about Vasas II vs Debrecen II?
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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