Cegledi VSE vs Ajka: result 2-2 and analysis
NB IIRegular Season - 13Kick-off on November 8, 2014 at 12:30 PM (UTC)Malomtó széli sporttelep, Cegléd
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What was the result of Cegledi VSE vs Ajka?
Cegledi VSE and Ajka drew 2-2 on November 8, 2014.
Goalscorers
- 21′I. AlbertCegledi VSE
- 70′Laszlo NemethAjka
- 84′István FarkasCegledi VSE
- 90′Z. SzabóAjka
What is the recent form of both teams?
Over their last 15 matches in all competitions, Cegledi VSE have 3 wins, 6 draws and 6 defeats; Ajka have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 2, 2014 | Balmazujvaros(away) | 1-1 | NB II |
| Oct 25, 2014 | Vasas(home) | 2-0 | NB II |
| Oct 18, 2014 | Gyirmot SE(away) | 1-2 | NB II |
| Oct 10, 2014 | Mezokovesd-zsory(home) | 0-2 | NB II |
| Oct 4, 2014 | Soproni VSE(away) | 2-2 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 1, 2014 | Soroksar(home) | 2-0 | NB II |
| Oct 29, 2014 | Ujpest(home) | 2-2 | Magyar Kupa |
| Oct 25, 2014 | Szeged 2011(away) | 0-1 | NB II |
| Oct 18, 2014 | SZTK-Erima(home) | 2-1 | NB II |
| Oct 12, 2014 | Szolnoki MAV FC(away) | 0-1 | NB II |
What does the head-to-head say?
Across the last 2 meetings: 0 Cegledi VSE win(s), 1 draw(s), 1 Ajka win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 8, 2014 | Ajka 1-0 Cegledi VSE | NB II |
| Aug 31, 2013 | Ajka 0-0 Cegledi VSE | NB II |
How many goals should we expect?
Cegledi VSE score 1.5 and concede 1.4 goals per match over their last 15; Ajka score 1.5 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Cegledi VSE | 1.5 | 1.4 | 3 | 7/15 | 6/15 |
| Ajka | 1.5 | 1.3 | 3 | 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 |
|---|---|---|---|---|---|---|---|---|
| 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