Cegledi VSE vs Kozarmisleny FC: result 3-2 and analysis
NB IIRegular Season - 2Kick-off on August 24, 2013 at 03:30 PM (UTC)Malomtó széli sporttelep, Cegléd
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What was the result of Cegledi VSE vs Kozarmisleny FC?
Cegledi VSE won 3-2 on August 24, 2013.
What is the recent form of both teams?
Over their last 5 matches in all competitions, Cegledi VSE have 2 wins, 0 draws and 3 defeats; Kozarmisleny FC have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 17, 2013 | SZTK-Erima(away) | 0-1 | NB II |
| Aug 10, 2013 | Putnok VSE(away) | 2-0 | Magyar Kupa |
| Aug 11, 2012 | Orosháza(away) | 0-2 | Magyar Kupa |
| Oct 26, 2011 | Debreceni VSC(home) | 0-2 | Magyar Kupa |
| Sep 21, 2011 | Orosháza(home) | 3-0 | Magyar Kupa |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 17, 2013 | Zalaegerszegi TE(home) | 0-0 | NB II |
| Aug 10, 2013 | Szeged 2011(away) | 2-3 | Magyar Kupa |
| Jun 1, 2013 | Veszprém(away) | 1-1 | NB II |
| May 25, 2013 | Zalaegerszegi TE(home) | 1-1 | NB II |
| May 19, 2013 | SZTK-Erima(away) | 1-1 | NB II |
How many goals should we expect?
Cegledi VSE score 1.0 and concede 1.0 goals per match over their last 5; Kozarmisleny FC score 1.5 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Cegledi VSE | 1.0 | 1.0 | 2 | 0/5 | 1/5 |
| Kozarmisleny FC | 1.5 | 1.0 | 7 | 5/15 | 7/15 |
Over the last 5 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 16 | Kozarmisleny FC | 9 | 1 | 1 | 7 | 6 | 18 | 4 |
A question about Cegledi VSE vs Kozarmisleny FC?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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