Kisvárda II vs Hidasnémeti: result 2-4 and analysis
NB III - NortheastKeleti - 5Kick-off on September 1, 2021 at 02:00 PM (UTC)Várkert Sportpálya, Kisvárda
Full time
What was the result of Kisvárda II vs Hidasnémeti?
Hidasnémeti won 2-4 on September 1, 2021.
Goalscorers
- 4′L. VarjasHidasnémeti
- 7′T. RubusKisvárda II
- 12′L. VarjasHidasnémeti
- 18′308557Kisvárda II
- 36′?Hidasnémeti
- 65′?Hidasnémeti
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kisvárda II have 10 wins, 4 draws and 1 defeats; Hidasnémeti have 1, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 22, 2021 | Törökszentmiklós(away) | 2-0 | NB III - Northeast |
| Aug 15, 2021 | Diósgyőr II(home) | 5-1 | NB III - Northeast |
| Aug 11, 2021 | Salgótarjáni BTC(away) | 1-1 | NB III - Northeast |
| Aug 1, 2021 | Sényő Carnifex(home) | 3-0 | NB III - Northeast |
| Jul 8, 2021 | Sturm Graz II(away) | 1-1 | Friendlies Clubs |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 28, 2021 | Kazincbarcikai(away) | 0-4 | Magyar Kupa |
| Aug 22, 2021 | BKV Előre(home) | 0-5 | NB III - Northeast |
| Aug 15, 2021 | DEAC(away) | 0-7 | NB III - Northeast |
| Aug 11, 2021 | Jászberényi Vasas(home) | 1-1 | NB III - Northeast |
| Aug 7, 2021 | Cigand SE(away) | 2-1 | Magyar Kupa |
How many goals should we expect?
Kisvárda II score 1.9 and concede 0.7 goals per match over their last 15; Hidasnémeti score 0.5 and concede 5.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kisvárda II | 1.9 | 0.7 | 7 | 7/15 | 5/15 |
| Hidasnémeti | 0.5 | 5.4 | 0 | 3/8 | 7/8 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Kisvárda II | 4 | 2 | 2 | 0 | 7 | 5 | 8 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy