Ajka vs Szombathelyi Haladás II: result 3-0 and analysis
NB IIRegular Season - 27Kick-off on May 18, 2013 at 04:00 PM (UTC)Ajkai Városi Sportcentrum, Ajka
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What was the result of Ajka vs Szombathelyi Haladás II?
Ajka won 3-0 on May 18, 2013.
Goalscorers
- 3′Z. GuntherAjka
- 7′L. SzabóAjka
- 76′G. PakaiAjka
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ajka have 5 wins, 4 draws and 6 defeats; Szombathelyi Haladás II have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 11, 2013 | Kozarmisleny FC(away) | 0-2 | NB II |
| May 4, 2013 | Csakvar(home) | 1-1 | NB II |
| May 1, 2013 | Gyirmot SE(away) | 0-3 | NB II |
| Apr 27, 2013 | Bajai(away) | 1-0 | NB II |
| Apr 20, 2013 | Soproni VSE(home) | 0-0 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 12, 2013 | Gyirmot SE(home) | 0-2 | NB II |
| May 4, 2013 | Gyori ETO II(away) | 0-2 | NB II |
| May 1, 2013 | Veszprém(home) | 2-1 | NB II |
| Apr 28, 2013 | Paksi SE II(home) | 2-1 | NB II |
| Apr 20, 2013 | Tatabánya(away) | 3-2 | NB II |
What does the head-to-head say?
Across the last 1 meetings: 1 Ajka win(s), 0 draw(s), 0 Szombathelyi Haladás II win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 4, 2012 | Szombathelyi Haladás II 0-2 Ajka | NB II |
Last archived meeting: Szombathelyi Haladás II vs Ajka on Nov 4, 2012
How many goals should we expect?
Ajka score 0.9 and concede 1.3 goals per match over their last 15; Szombathelyi Haladás II score 1.5 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ajka | 0.9 | 1.3 | 4 | 6/15 | 6/15 |
| Szombathelyi Haladás II | 1.5 | 1.5 | 1 | 9/15 | 8/15 |
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