Balassagyarmat VSE vs Kisvárda II: result 1-1 and analysis
NB III - NortheastKeleti - 11Kick-off on September 27, 2020 at 02:00 PM (UTC)Balassagyarmati Műfüves Pálya, Balassagyarmat
Full time
What was the result of Balassagyarmat VSE vs Kisvárda II?
Balassagyarmat VSE and Kisvárda II drew 1-1 on September 27, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Balassagyarmat VSE have 6 wins, 3 draws and 6 defeats; Kisvárda II have 4, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 13, 2020 | Sajóbábony Vegyész(away) | 3-1 | NB III - Northeast |
| Sep 9, 2020 | Tiszaújváros(home) | 1-0 | NB III - Northeast |
| Sep 5, 2020 | Debrecen II(away) | 1-3 | NB III - Northeast |
| Aug 30, 2020 | Diósgyőr II(home) | 2-1 | NB III - Northeast |
| Aug 26, 2020 | Jászberényi Vasas(away) | 0-4 | NB III - Northeast |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 13, 2020 | Tiszakecske FC(home) | 1-4 | NB III - Northeast |
| Sep 9, 2020 | Cegledi VSE(away) | 3-2 | NB III - Northeast |
| Sep 5, 2020 | Eger(home) | 0-0 | NB III - Northeast |
| Aug 30, 2020 | Sajóbábony Vegyész(home) | 2-2 | NB III - Northeast |
| Aug 26, 2020 | Tiszaújváros(away) | 0-0 | NB III - Northeast |
How many goals should we expect?
Balassagyarmat VSE score 1.1 and concede 1.5 goals per match over their last 15; Kisvárda II score 1.6 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Balassagyarmat VSE | 1.1 | 1.5 | 3 | 8/15 | 8/15 |
| Kisvárda II | 1.6 | 1.9 | 2 | 8/11 | 8/11 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Kisvárda II | 15 | 5 | 7 | 3 | 21 | 17 | 22 |
A question about Balassagyarmat VSE vs Kisvárda II?
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