Hajdúnánás vs Mátészalka: result 3-0 and analysis
NB III - NortheastNortheast - 4Kick-off on August 16, 2026 at 03:30 PM (UTC)
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What was the result of Hajdúnánás vs Mátészalka?
Hajdúnánás won 3-0 on August 16, 2026.
Goalscorers
- 10′654586Hajdúnánás
- 18′624650Hajdúnánás
- 39′618101Hajdúnánás
What is the recent form of both teams?
Over their last 4 matches in all competitions, Hajdúnánás have 0 wins, 0 draws and 4 defeats; Mátészalka have 4, 1 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 12, 2026 | Kisvárda II(home) | 2-3 | NB III - Northeast |
| Aug 8, 2026 | Gödöllő(away) | 0-2 | NB III - Northeast |
| Jul 25, 2026 | Debrecen II(away) | 2-5 | NB III - Northeast |
| Aug 3, 2024 | Salgótarjáni BTC(home) | 0-1 | Magyar Kupa |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 12, 2026 | Gödöllő(home) | 4-0 | NB III - Northeast |
| Aug 8, 2026 | Salgótarjáni BTC(away) | 2-1 | NB III - Northeast |
| Jul 26, 2026 | Kisvárda II(away) | 1-1 | NB III - Northeast |
| Aug 23, 2025 | Vásárosnamény(home) | 0-1 | Magyar Kupa |
| Aug 2, 2025 | Mezőkeresztes(away) | 4-0 | Magyar Kupa |
How many goals should we expect?
Hajdúnánás score 1.0 and concede 2.8 goals per match over their last 4; Mátészalka score 1.6 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Hajdúnánás | 1.0 | 2.8 | 0 | 2/4 | 2/4 |
| Mátészalka | 1.6 | 1.7 | 2 | 8/15 | 9/15 |
Over the last 4 matches in all competitions.
Where do both teams sit in the table?
Hajdúnánás sit 12th in NB III - Northeast (10 points from 10 matches) and Mátészalka sit 9th (16 points from 11 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Mátészalka | 11 | 4 | 4 | 3 | 17 | 15 | 16 |
| 12 | Hajdúnánás | 10 | 3 | 1 | 6 | 17 | 27 | 10 |
A question about Hajdúnánás vs Mátészalka?
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