Ajka vs Szolnoki MAV FC: result 3-1 and analysis
NB IIRegular Season - 24Kick-off on April 18, 2015 at 03:00 PM (UTC)Ajkai Városi Sportcentrum, Ajka
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What was the result of Ajka vs Szolnoki MAV FC?
Ajka won 3-1 on April 18, 2015.
Goalscorers
- 8′B. PapucsekSzolnoki MAV FC
- 16′Dávid AsztalosAjka
- 53′N. MajorAjka
- 65′Szabolcs CsordásAjka
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ajka have 3 wins, 7 draws and 5 defeats; Szolnoki MAV FC have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 11, 2015 | Bekescsaba 1912(away) | 0-0 | NB II |
| Apr 4, 2015 | Kaposvar(home) | 3-2 | NB II |
| Mar 28, 2015 | Siofok(away) | 0-3 | NB II |
| Mar 22, 2015 | Balmazujvaros(away) | 0-1 | NB II |
| Mar 14, 2015 | Vasas(home) | 1-2 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 11, 2015 | Balmazujvaros(home) | 0-1 | NB II |
| Apr 7, 2015 | Ferencvarosi TC(home) | 0-2 | Magyar Kupa |
| Apr 4, 2015 | Vasas(away) | 1-4 | NB II |
| Mar 31, 2015 | Kisvarda FC(home) | 1-1 | Magyar Kupa |
| Mar 26, 2015 | Gyirmot SE(home) | 1-1 | NB II |
What does the head-to-head say?
Across the last 3 meetings: 1 Ajka win(s), 0 draw(s), 2 Szolnoki MAV FC win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 12, 2014 | Szolnoki MAV FC 1-0 Ajka | NB II |
| 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 Oct 12, 2014
How many goals should we expect?
Ajka score 1.4 and concede 1.6 goals per match over their last 15; Szolnoki MAV FC score 1.5 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ajka | 1.4 | 1.6 | 2 | 9/15 | 9/15 |
| Szolnoki MAV FC | 1.5 | 1.7 | 1 | 12/15 | 9/15 |
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