Budaorsi SC vs Szolnoki MAV FC: result 1-0 and analysis
NB IIRegular Season - 37Kick-off on May 27, 2018 at 03:00 PM (UTC)Grosics Gyula Stadion, Tatabánya
Full time
What was the result of Budaorsi SC vs Szolnoki MAV FC?
Budaorsi SC won 1-0 on May 27, 2018.
Goalscorers
- 6′Péter CzvitkovicsBudaorsi SC (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Budaorsi SC have 7 wins, 6 draws and 2 defeats; Szolnoki MAV FC have 3, 2 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 20, 2018 | VAC(away) | 1-1 | NB II |
| May 13, 2018 | Bekescsaba 1912(home) | 1-1 | NB II |
| May 6, 2018 | Cegledi VSE(away) | 2-1 | NB II |
| May 2, 2018 | Csakvar(home) | 2-1 | NB II |
| Apr 29, 2018 | Siofok(away) | 1-2 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 20, 2018 | Budafoki LC(home) | 1-2 | NB II |
| May 13, 2018 | Gyirmot SE(away) | 1-1 | NB II |
| May 6, 2018 | VAC(away) | 0-0 | NB II |
| May 2, 2018 | Bekescsaba 1912(home) | 1-4 | NB II |
| Apr 29, 2018 | Cegledi VSE(away) | 0-3 | NB II |
What does the head-to-head say?
Across the last 3 meetings: 1 Budaorsi SC win(s), 1 draw(s), 1 Szolnoki MAV FC win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 19, 2017 | Szolnoki MAV FC 0-1 Budaorsi SC | NB II |
| May 28, 2017 | Szolnoki MAV FC 1-1 Budaorsi SC | NB II |
| Nov 27, 2016 | Budaorsi SC 1-2 Szolnoki MAV FC | NB II |
Last archived meeting: Szolnoki MAV FC vs Budaorsi SC on Nov 19, 2017
How many goals should we expect?
Budaorsi SC score 1.9 and concede 1.2 goals per match over their last 15; Szolnoki MAV FC score 0.9 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Budaorsi SC | 1.9 | 1.2 | 2 | 13/15 | 10/15 |
| Szolnoki MAV FC | 0.9 | 1.9 | 2 | 8/15 | 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