Csakvar vs Mezokovesd-zsory: result 0-3 and analysis
NB IIRegular Season - 11Kick-off on October 24, 2014 at 05:00 PM (UTC)Tersztyánszky Ödön Sportközpont, Csákvár
Full time
What was the result of Csakvar vs Mezokovesd-zsory?
Mezokovesd-zsory won 0-3 on October 24, 2014.
Goalscorers
- 54′Dávid HegedűsMezokovesd-zsory
- 83′János MátéMezokovesd-zsory
- 88′János MátéMezokovesd-zsory
What is the recent form of both teams?
Over their last 15 matches in all competitions, Csakvar have 6 wins, 3 draws and 6 defeats; Mezokovesd-zsory have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 18, 2014 | Soproni VSE(away) | 0-2 | NB II |
| Oct 12, 2014 | Siofok(away) | 2-2 | NB II |
| Oct 3, 2014 | Zalaegerszegi TE(home) | 0-0 | NB II |
| Sep 27, 2014 | Cegledi VSE(away) | 2-3 | NB II |
| Sep 23, 2014 | Kazincbarcikai(away) | 2-1 | Magyar Kupa |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 18, 2014 | Zalaegerszegi TE(home) | 1-1 | NB II |
| Oct 10, 2014 | Cegledi VSE(away) | 2-0 | NB II |
| Oct 4, 2014 | Soroksar(home) | 1-0 | NB II |
| Oct 1, 2014 | Szolnoki MAV FC(away) | 3-3 | NB II |
| Sep 27, 2014 | Szeged 2011(away) | 1-2 | NB II |
How many goals should we expect?
Csakvar score 1.5 and concede 1.3 goals per match over their last 15; Mezokovesd-zsory score 2.1 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Csakvar | 1.5 | 1.3 | 4 | 7/15 | 8/15 |
| Mezokovesd-zsory | 2.1 | 1.2 | 6 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Csakvar sit 13th in NB II (3 points from 5 matches) and Mezokovesd-zsory sit 10th (6 points from 4 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Mezokovesd-zsory | 4 | 2 | 0 | 2 | 3 | 3 | 6 |
| 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