Ajka vs Szolnoki MAV FC: result 0-0 and analysis
NB IIRegular Season - 17Kick-off on February 27, 2016 at 04:00 PM (UTC)Ajkai Városi Sportcentrum, Ajka
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What was the result of Ajka vs Szolnoki MAV FC?
Ajka and Szolnoki MAV FC drew 0-0 on February 27, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ajka have 4 wins, 4 draws and 7 defeats; Szolnoki MAV FC have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 20, 2016 | Soproni VSE(away) | 0-2 | NB II |
| Nov 28, 2015 | Zalaegerszegi TE(home) | 1-2 | NB II |
| Nov 21, 2015 | Balmazujvaros(home) | 1-1 | NB II |
| Nov 7, 2015 | VAC(away) | 1-2 | NB II |
| Oct 31, 2015 | Dunaújváros-Pálhalma(home) | 0-6 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 20, 2016 | Soroksar(home) | 0-3 | NB II |
| Nov 28, 2015 | Kisvarda FC(home) | 4-2 | NB II |
| Nov 22, 2015 | Szeged 2011(away) | 1-4 | NB II |
| Nov 7, 2015 | Gyirmot SE(home) | 1-0 | NB II |
| Nov 1, 2015 | Csakvar(away) | 1-2 | NB II |
What does the head-to-head say?
Across the last 5 meetings: 2 Ajka win(s), 0 draw(s), 3 Szolnoki MAV FC win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 8, 2015 | Szolnoki MAV FC 2-0 Ajka | NB II |
| Apr 18, 2015 | Ajka 3-1 Szolnoki MAV FC | NB II |
| 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 Aug 8, 2015
How many goals should we expect?
Ajka score 1.1 and concede 1.6 goals per match over their last 15; Szolnoki MAV FC score 1.3 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ajka | 1.1 | 1.6 | 4 | 6/15 | 8/15 |
| Szolnoki MAV FC | 1.3 | 1.8 | 3 | 9/15 | 10/15 |
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