Diósgyőr II vs Putnok VSE: result 1-2 and analysis
NB III - NortheastKeleti - 11Kick-off on October 20, 2019 at 12:00 PM (UTC)DVTK Edzőcentrum Füves Edzőpálya, Miskolc
Full time
What was the result of Diósgyőr II vs Putnok VSE?
Putnok VSE won 1-2 on October 20, 2019.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Diósgyőr II have 1 win, 2 draws and 7 defeats; Putnok VSE have 2, 4 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 12, 2019 | Debrecen II(away) | 0-2 | NB III - Northeast |
| Oct 6, 2019 | FC Hatvan(away) | 1-1 | NB III - Northeast |
| Sep 29, 2019 | Gyöngyös(home) | 2-2 | NB III - Northeast |
| Sep 15, 2019 | Füzesgyarmati(away) | 0-4 | NB III - Northeast |
| Sep 8, 2019 | Eger(home) | 2-1 | NB III - Northeast |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 12, 2019 | Gyöngyös(home) | 0-1 | NB III - Northeast |
| Oct 6, 2019 | Füzesgyarmati(away) | 2-3 | NB III - Northeast |
| Sep 29, 2019 | Eger(home) | 4-1 | NB III - Northeast |
| Sep 21, 2019 | Paks(home) | 0-5 | Magyar Kupa |
| Sep 15, 2019 | ESMTK(away) | 0-0 | NB III - Northeast |
How many goals should we expect?
Diósgyőr II score 0.7 and concede 2.5 goals per match over their last 10; Putnok VSE score 1.3 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Diósgyőr II | 0.7 | 2.5 | 0 | 5/10 | 8/10 |
| Putnok VSE | 1.3 | 2.0 | 2 | 8/15 | 8/15 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Diósgyőr II | 12 | 5 | 4 | 3 | 23 | 17 | 19 |
A question about Diósgyőr II vs Putnok VSE?
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