Diósgyőr II vs Körösladány: result 0-5 and analysis
NB III - NortheastKeleti - 3Kick-off on August 14, 2022 at 09:00 AM (UTC)DVTK Edzőcentrum Füves Edzőpálya, Miskolc
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What was the result of Diósgyőr II vs Körösladány?
Körösladány won 0-5 on August 14, 2022.
Goalscorers
- 4′?Körösladány
- 17′?Körösladány
- 21′?Körösladány
- 63′?Körösladány
- 88′?Körösladány
What is the recent form of both teams?
Over their last 15 matches in all competitions, Diósgyőr II have 7 wins, 3 draws and 5 defeats; Körösladány have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 3, 2022 | Jászberényi Vasas(away) | 4-1 | NB III - Northeast |
| Jul 31, 2022 | BKV Előre(home) | 0-2 | NB III - Northeast |
| May 29, 2022 | Jászberényi Vasas(away) | 2-0 | NB III - Northeast |
| May 22, 2022 | Putnok VSE(home) | 2-2 | NB III - Northeast |
| May 15, 2022 | Hidasnémeti(away) | 4-0 | NB III - Northeast |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 6, 2022 | Gázgyár(away) | 1-4 | Magyar Kupa |
| Aug 3, 2022 | Vasas II(home) | 3-1 | NB III - Northeast |
| Jul 31, 2022 | Debrecen II(away) | 0-1 | NB III - Northeast |
| Jul 24, 2022 | Bekescsaba 1912(away) | 2-4 | Friendlies Clubs |
| Aug 7, 2021 | Dabas(home) | 1-5 | Magyar Kupa |
How many goals should we expect?
Diósgyőr II score 1.8 and concede 0.9 goals per match over their last 15; Körösladány score 2.1 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Diósgyőr II | 1.8 | 0.9 | 6 | 4/15 | 6/15 |
| Körösladány | 2.1 | 2.3 | 0 | 14/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 7 | Diósgyőr II | 15 | 6 | 4 | 5 | 31 | 23 | 22 |
A question about Diósgyőr 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