Debrecen II vs Körösladány: result 1-0 and analysis
NB III - NortheastKeleti - 1Kick-off on July 31, 2022 at 09:00 AM (UTC)Debreceni Egyetemi AC Stadion, Debrecen
Full time
What was the result of Debrecen II vs Körösladány?
Debrecen II won 1-0 on July 31, 2022.
Goalscorers
- 20′?Debrecen II
What is the recent form of both teams?
Over their last 15 matches in all competitions, Debrecen II have 7 wins, 1 draw and 7 defeats; Körösladány have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 29, 2022 | Tiszaújváros(home) | 1-2 | NB III - Northeast |
| May 22, 2022 | Eger(home) | 2-3 | NB III - Northeast |
| May 14, 2022 | Kisvárda II(away) | 1-4 | NB III - Northeast |
| May 8, 2022 | BKV Előre(home) | 3-1 | NB III - Northeast |
| May 4, 2022 | DEAC(home) | 1-1 | NB III - Northeast |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 24, 2022 | Bekescsaba 1912(away) | 2-4 | Friendlies Clubs |
| Aug 7, 2021 | Dabas(home) | 1-5 | Magyar Kupa |
| May 30, 2021 | Újpest II(home) | 1-4 | NB III - Northwest |
| May 23, 2021 | Paksi SE II(away) | 1-3 | NB III - Northwest |
| May 16, 2021 | Ferencváros II(home) | 2-2 | NB III - Northwest |
How many goals should we expect?
Debrecen II score 2.0 and concede 1.7 goals per match over their last 15; Körösladány score 1.9 and concede 2.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Debrecen II | 2.0 | 1.7 | 3 | 12/15 | 13/15 |
| Körösladány | 1.9 | 2.7 | 0 | 13/15 | 13/15 |
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 | Debrecen II | 15 | 10 | 1 | 4 | 36 | 24 | 31 |
A question about Debrecen II vs Körösladány?
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