Szolnoki MAV FC vs Balmazujvaros: prediction and stats
NB IIRegular Season - 3Kick-off on August 11, 2019 at 12:00 AM (UTC)Tiszaligeti Stadion, Szolnok
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Szolnoki MAV FC have 2 wins, 2 draws and 11 defeats; Balmazujvaros have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 7, 2019 | Budafoki LC(away) | 0-3 | NB II |
| Aug 4, 2019 | VAC(home) | 2-1 | NB II |
| Sep 23, 2018 | Kisvarda FC(home) | 0-1 | Magyar Kupa |
| Jun 3, 2018 | Nyiregyhaza(home) | 1-0 | NB II |
| May 27, 2018 | Budaorsi SC(away) | 0-1 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 19, 2019 | VAC(home) | 4-0 | NB II |
| May 12, 2019 | Budafoki LC(away) | 2-0 | NB II |
| May 5, 2019 | Tiszakecske FC(away) | 1-0 | NB II |
| May 1, 2019 | Kaposvar(home) | 0-2 | NB II |
| Apr 28, 2019 | Nyiregyhaza(away) | 0-1 | NB II |
What does the head-to-head say?
Across the last 6 meetings: 2 Szolnoki MAV FC win(s), 2 draw(s), 2 Balmazujvaros win(s).
| Date | Score | Competition |
|---|---|---|
| May 21, 2017 | Balmazujvaros 1-0 Szolnoki MAV FC | NB II |
| Nov 20, 2016 | Szolnoki MAV FC 1-1 Balmazujvaros | NB II |
| Apr 16, 2016 | Balmazujvaros 1-1 Szolnoki MAV FC | NB II |
| Sep 26, 2015 | Szolnoki MAV FC 3-0 Balmazujvaros | NB II |
| Apr 11, 2015 | Szolnoki MAV FC 0-1 Balmazujvaros | NB II |
| Oct 5, 2014 | Balmazujvaros 0-3 Szolnoki MAV FC | NB II |
Last archived meeting: Balmazujvaros vs Szolnoki MAV FC on May 21, 2017
How many goals should we expect?
Szolnoki MAV FC score 0.6 and concede 1.9 goals per match over their last 15; Balmazujvaros score 1.0 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Szolnoki MAV FC | 0.6 | 1.9 | 2 | 6/15 | 8/15 |
| Balmazujvaros | 1.0 | 1.2 | 5 | 5/15 | 5/15 |
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