BVSC vs DEAC: result 2-0 and analysis
NB III - NortheastKeleti - 12Kick-off on October 9, 2022 at 01:00 PM (UTC)Szőnyi úti Stadion, Budapest
Full time
What was the result of BVSC vs DEAC?
BVSC won 2-0 on October 9, 2022.
Goalscorers
- 75′G. SzalánszkiBVSC
- 87′G. SzalánszkiBVSC
What is the recent form of both teams?
Over their last 15 matches in all competitions, BVSC have 12 wins, 2 draws and 1 defeat; DEAC have 11, 0 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 2, 2022 | Körösladány(away) | 0-0 | NB III - Northeast |
| Sep 28, 2022 | Jászberényi Vasas(home) | 4-0 | NB III - Northeast |
| Sep 25, 2022 | BKV Előre(away) | 1-0 | NB III - Northeast |
| Sep 17, 2022 | Kisvarda FC(home) | 0-2 | Magyar Kupa |
| Sep 11, 2022 | Karcag SE(home) | 5-0 | NB III - Northeast |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 2, 2022 | Putnok VSE(away) | 0-1 | NB III - Northeast |
| Sep 28, 2022 | Körösladány(home) | 3-1 | NB III - Northeast |
| Sep 25, 2022 | Jászberényi Vasas(away) | 4-0 | NB III - Northeast |
| Sep 17, 2022 | Jászberényi Vasas(away) | 2-1 | Magyar Kupa |
| Sep 11, 2022 | BKV Előre(home) | 5-0 | NB III - Northeast |
How many goals should we expect?
BVSC score 2.8 and concede 0.3 goals per match over their last 15; DEAC score 2.1 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| BVSC | 2.8 | 0.3 | 11 | 3/15 | 9/15 |
| DEAC | 2.1 | 0.8 | 7 | 6/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | DEAC | 11 | 7 | 2 | 2 | 29 | 14 | 23 |
A question about BVSC vs DEAC?
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