Dorogi FC vs Szolnoki MAV FC: result 2-0 and analysis
NB IIRegular Season - 20Kick-off on December 3, 2017 at 12:00 PM (UTC)Buzánszky Jenő Stadion, Dorog
Full time
What was the result of Dorogi FC vs Szolnoki MAV FC?
Dorogi FC won 2-0 on December 3, 2017.
Goalscorers
- 30′Áron MészárosDorogi FC
- 45′G. BoraDorogi FC
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dorogi FC have 8 wins, 4 draws and 3 defeats; Szolnoki MAV FC have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 29, 2017 | Cigand SE(away) | 2-0 | Magyar Kupa |
| Nov 26, 2017 | VAC(home) | 2-0 | NB II |
| Nov 19, 2017 | Bekescsaba 1912(away) | 1-3 | NB II |
| Nov 12, 2017 | Cegledi VSE(home) | 0-0 | NB II |
| Nov 5, 2017 | Csakvar(away) | 2-2 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 26, 2017 | Nyiregyhaza(away) | 0-2 | NB II |
| Nov 19, 2017 | Budaorsi SC(home) | 0-1 | NB II |
| Nov 12, 2017 | Budafoki LC(away) | 1-2 | NB II |
| Nov 5, 2017 | Gyirmot SE(home) | 3-1 | NB II |
| Oct 29, 2017 | VAC(home) | 1-5 | NB II |
What does the head-to-head say?
Across the last 3 meetings: 2 Dorogi FC win(s), 1 draw(s), 0 Szolnoki MAV FC win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 30, 2017 | Szolnoki MAV FC 2-2 Dorogi FC | NB II |
| May 3, 2017 | Szolnoki MAV FC 2-4 Dorogi FC | NB II |
| Oct 22, 2016 | Dorogi FC 1-0 Szolnoki MAV FC | NB II |
Last archived meeting: Szolnoki MAV FC vs Dorogi FC on Jul 30, 2017
How many goals should we expect?
Dorogi FC score 1.6 and concede 1.0 goals per match over their last 15; Szolnoki MAV FC score 1.5 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dorogi FC | 1.6 | 1.0 | 6 | 8/15 | 9/15 |
| Szolnoki MAV FC | 1.5 | 1.4 | 5 | 7/15 | 7/15 |
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