Soroksar vs Ajka: result 1-0 and analysis
NB IIRegular Season - 22Kick-off on April 9, 2016 at 02:30 PM (UTC)Szamosi Mihály Sporttelep, Budapest
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What was the result of Soroksar vs Ajka?
Soroksar won 1-0 on April 9, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Soroksar have 4 wins, 5 draws and 6 defeats; Ajka have 2, 4 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 2, 2016 | Siofok(away) | 1-0 | NB II |
| Mar 20, 2016 | Kisvarda FC(away) | 3-2 | NB II |
| Mar 12, 2016 | Szeged 2011(home) | 1-1 | NB II |
| Mar 5, 2016 | Gyirmot SE(away) | 0-1 | NB II |
| Feb 27, 2016 | Csakvar(home) | 1-1 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 2, 2016 | Kisvarda FC(home) | 0-1 | NB II |
| Mar 19, 2016 | Szeged 2011(away) | 0-0 | NB II |
| Mar 12, 2016 | Gyirmot SE(away) | 1-3 | NB II |
| Mar 5, 2016 | Csakvar(away) | 1-3 | NB II |
| Feb 27, 2016 | Szolnoki MAV FC(home) | 0-0 | NB II |
What does the head-to-head say?
Across the last 4 meetings: 1 Soroksar win(s), 1 draw(s), 2 Ajka win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 19, 2015 | Ajka 0-0 Soroksar | NB II |
| May 9, 2015 | Soroksar 2-1 Ajka | NB II |
| Nov 1, 2014 | Ajka 2-0 Soroksar | NB II |
| Sep 24, 2014 | Ajka 2-1 Soroksar | Magyar Kupa |
How many goals should we expect?
Soroksar score 1.2 and concede 1.3 goals per match over their last 15; Ajka score 0.7 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Soroksar | 1.2 | 1.3 | 3 | 9/15 | 6/15 |
| Ajka | 0.7 | 1.7 | 3 | 7/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Soroksar sit 1st in NB II (13 points from 5 matches) and Ajka sit 6th (8 points from 4 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Soroksar | 5 | 4 | 1 | 0 | 11 | 4 | 13 |
| 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