Szolnoki MAV FC vs Ajka: result 1-0 and analysis
NB IIRegular Season - 9Kick-off on October 12, 2014 at 03:00 PM (UTC)Tiszaligeti Stadion, Szolnok
Full time
What was the result of Szolnoki MAV FC vs Ajka?
Szolnoki MAV FC won 1-0 on October 12, 2014.
Goalscorers
- 41′P. UrbinSzolnoki MAV FC
What is the recent form of both teams?
Over their last 15 matches in all competitions, Szolnoki MAV FC have 8 wins, 4 draws and 3 defeats; Ajka have 6, 1 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2014 | Balmazujvaros(away) | 3-0 | NB II |
| Oct 1, 2014 | Mezokovesd-zsory(home) | 3-3 | NB II |
| Sep 27, 2014 | Vasas(home) | 3-2 | NB II |
| Sep 23, 2014 | Nagyatádi(away) | 2-0 | Magyar Kupa |
| Sep 20, 2014 | Gyirmot SE(away) | 2-0 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 4, 2014 | Bekescsaba 1912(home) | 0-2 | NB II |
| Oct 1, 2014 | Balmazujvaros(home) | 5-0 | NB II |
| Sep 27, 2014 | Kaposvar(away) | 0-2 | NB II |
| Sep 24, 2014 | Soroksar(home) | 2-1 | Magyar Kupa |
| Sep 20, 2014 | Siofok(home) | 2-2 | NB II |
What does the head-to-head say?
Across the last 2 meetings: 1 Szolnoki MAV FC win(s), 0 draw(s), 1 Ajka win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 5, 2014 | Szolnoki MAV FC 1-0 Ajka | NB II |
| Sep 28, 2013 | Ajka 2-0 Szolnoki MAV FC | NB II |
Last archived meeting: Szolnoki MAV FC vs Ajka on Apr 5, 2014
How many goals should we expect?
Szolnoki MAV FC score 1.9 and concede 1.4 goals per match over their last 15; Ajka score 1.9 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Szolnoki MAV FC | 1.9 | 1.4 | 4 | 9/15 | 10/15 |
| Ajka | 1.9 | 1.8 | 3 | 8/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Ajka | 4 | 2 | 2 | 0 | 7 | 3 | 8 |
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