Ajka vs Csakvar: result 1-1 and analysis
NB IIRegular Season - 25Kick-off on May 4, 2013 at 03:30 PM (UTC)Ajkai Városi Sportcentrum, Ajka
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What was the result of Ajka vs Csakvar?
Ajka and Csakvar drew 1-1 on May 4, 2013.
Goalscorers
- 36′Thomas Babatunde SowunmiAjka
- 40′Vinicius Leal GalvaoCsakvar
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ajka have 6 wins, 3 draws and 6 defeats; Csakvar have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Apr 13, 2013 | Puskas Academy(away) | 0-1 | NB II |
| Apr 10, 2013 | Zalaegerszegi TE(away) | 0-3 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 1, 2013 | BKV Előre(home) | 0-1 | NB II |
| Apr 27, 2013 | Gyirmot SE(home) | 2-3 | NB II |
| Apr 20, 2013 | Gyori ETO II(away) | 3-3 | NB II |
| Apr 17, 2013 | Kozarmisleny FC(home) | 1-0 | NB II |
| Apr 13, 2013 | Paksi SE II(home) | 4-1 | NB II |
What does the head-to-head say?
Across the last 1 meetings: 1 Ajka win(s), 0 draw(s), 0 Csakvar win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 20, 2012 | Csakvar 1-3 Ajka | NB II |
How many goals should we expect?
Ajka score 0.9 and concede 1.3 goals per match over their last 15; Csakvar score 1.6 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ajka | 0.9 | 1.3 | 5 | 5/15 | 7/15 |
| Csakvar | 1.6 | 1.1 | 6 | 6/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Ajka sit 6th in NB II (8 points from 4 matches) and Csakvar sit 13th (3 points from 5 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Ajka | 4 | 2 | 2 | 0 | 7 | 3 | 8 |
| 13 | Csakvar | 5 | 1 | 0 | 4 | 6 | 10 | 3 |
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