Mátészalka vs DEAC: result 0-1 and analysis
NB III - NortheastNortheast - 2Kick-off on August 7, 2024 at 03:30 PM (UTC)Mátészalkai Városi sporttelep, Mátészalka
Full time
What was the result of Mátészalka vs DEAC?
DEAC won 0-1 on August 7, 2024.
Goalscorers
- 90′?DEAC
What is the recent form of both teams?
Over their last 8 matches in all competitions, Mátészalka have 3 wins, 3 draws and 2 defeats; DEAC have 8, 5 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 3, 2024 | Nyírbátori(away) | 4-0 | Magyar Kupa |
| Jul 28, 2024 | Nyiregyhaza II(away) | 1-1 | NB III - Northeast |
| Feb 10, 2024 | Hajdúszoboszlói SE(away) | 1-1 | Friendlies Clubs |
| Sep 17, 2022 | Ujpest(home) | 1-6 | Magyar Kupa |
| Aug 27, 2022 | Hidasnémeti(home) | 2-0 | Magyar Kupa |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 3, 2024 | Lőrinci(away) | 2-0 | Magyar Kupa |
| Jul 28, 2024 | Sényő Carnifex(home) | 1-0 | NB III - Northeast |
| Jun 29, 2024 | Szolnoki MAV FC(home) | 3-0 | Friendlies Clubs |
| May 26, 2024 | Karcag SE(home) | 2-2 | NB III - Northeast |
| May 19, 2024 | Tiszaújváros(away) | 1-1 | NB III - Northeast |
How many goals should we expect?
Mátészalka score 1.4 and concede 1.6 goals per match over their last 8; DEAC score 1.5 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mátészalka | 1.4 | 1.6 | 4 | 3/8 | 3/8 |
| DEAC | 1.5 | 0.7 | 8 | 5/15 | 7/15 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
Mátészalka sit 9th in NB III - Northeast (16 points from 11 matches) and DEAC sit 3rd (23 points from 11 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | DEAC | 11 | 7 | 2 | 2 | 29 | 14 | 23 |
| 9 | Mátészalka | 11 | 4 | 4 | 3 | 17 | 15 | 16 |
A question about Mátészalka vs DEAC?
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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