MTK Budapest II vs Balassagyarmat VSE: prediction and stats
NB III - NorthwestKözép - 32Kick-off on April 16, 2023 at 12:00 AM (UTC)Hidegkuti Nándor Stadion, Budapest
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, MTK Budapest II have 7 wins, 3 draws and 5 defeats; Balassagyarmat VSE have 9, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 12, 2023 | Iváncsa(away) | 0-2 | NB III - Northwest |
| Apr 9, 2023 | Bánk(home) | 4-3 | NB III - Northwest |
| Mar 29, 2023 | ESMTK(home) | 0-1 | NB III - Northwest |
| Mar 26, 2023 | Szekszárd(away) | 2-2 | NB III - Northwest |
| Mar 19, 2023 | Dabas(home) | 2-0 | NB III - Northwest |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 17, 2022 | Vasas(home) | 1-2 | Magyar Kupa |
| Sep 11, 2022 | Újpest II(away) | 1-2 | NB III - Northwest |
| Sep 4, 2022 | Szolnoki MAV FC(away) | 3-0 | NB III - Northwest |
| Aug 31, 2022 | Iváncsa(home) | 0-0 | NB III - Northwest |
| Aug 28, 2022 | Edelény(away) | 5-0 | Magyar Kupa |
What does the head-to-head say?
Across the last 2 meetings: 1 MTK Budapest II win(s), 0 draw(s), 1 Balassagyarmat VSE win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 6, 2022 | MTK Budapest II 0-1 Balassagyarmat VSE | NB III - Northwest |
| Sep 1, 2021 | Balassagyarmat VSE 1-2 MTK Budapest II | NB III - Northwest |
Last archived meeting: MTK Budapest II vs Balassagyarmat VSE on Mar 6, 2022
How many goals should we expect?
MTK Budapest II score 1.7 and concede 1.4 goals per match over their last 15; Balassagyarmat VSE score 1.9 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| MTK Budapest II | 1.7 | 1.4 | 3 | 9/15 | 8/15 |
| Balassagyarmat VSE | 1.9 | 0.7 | 8 | 5/15 | 9/15 |
Over the last 15 matches in all competitions.
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