Szolnoki MAV FC vs Ajka: result 1-0 and analysis
NB IIMatchday 22Kick-off on April 5, 2014 at 04:30 PM (UTC)Tiszaligeti Stadion, Szolnok
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What was the result of Szolnoki MAV FC vs Ajka?
Szolnoki MAV FC won 1-0 on April 5, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Szolnoki MAV FC have 5 wins, 2 draws and 8 defeats; Ajka 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 |
|---|---|---|---|
| Mar 29, 2014 | Kozarmisleny FC(away) | 1-2 | NB II |
| Mar 22, 2014 | SZTK-Erima(home) | 1-1 | NB II |
| Mar 16, 2014 | Kisvarda FC(away) | 0-1 | NB II |
| Mar 8, 2014 | Siofok(home) | 1-2 | NB II |
| Mar 1, 2014 | Tatabánya(home) | 4-0 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 29, 2014 | Gyirmot SE(home) | 1-2 | NB II |
| Mar 23, 2014 | Balmazujvaros(away) | 1-1 | NB II |
| Mar 16, 2014 | Soproni VSE(home) | 0-0 | NB II |
| Mar 8, 2014 | Cegledi VSE(home) | 1-0 | NB II |
| Mar 1, 2014 | Zalaegerszegi TE(home) | 1-1 | NB II |
What does the head-to-head say?
In the last meeting: 0 Szolnoki MAV FC wins, 0 draws, 1 Ajka win.
| Date | Score | Competition |
|---|---|---|
| Sep 28, 2013 | Ajka 2-0 Szolnoki MAV FC | NB II |
Last archived meeting: Ajka vs Szolnoki MAV FC on Sep 28, 2013
How many goals should we expect?
Szolnoki MAV FC score 1.4 and concede 1.5 goals per match over their last 15; Ajka score 1.5 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Szolnoki MAV FC | 1.4 | 1.5 | 1 | 9/15 | 8/15 |
| Ajka | 1.5 | 1.5 | 6 | 6/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 7 | Ajka | 13 | 5 | 4 | 4 | 17 | 16 | 19 |
A question about Szolnoki MAV FC vs Ajka?
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy