Paks vs Zalaegerszegi TE: result 4-2 and analysis
NB IRegular Season - 14Kick-off on October 29, 2011 at 03:00 PM (UTC)Paksi FC Stadion, Paks
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What was the result of Paks vs Zalaegerszegi TE?
Paks won 4-2 on October 29, 2011.
Goalscorers
- 33′L. BarthaPaks
- 48′L. SzatmáriPaks
- 53′Peter MateZalaegerszegi TE
- 56′Peter MateZalaegerszegi TE
- 71′Jozsef MagasfoldiPaks
- 81′Tamás KissPaks
What is the recent form of both teams?
Over their last 14 matches in all competitions, Paks have 4 wins, 5 draws and 5 defeats; Zalaegerszegi TE have 0, 4 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 26, 2011 | Putnok VSE(away) | 2-3 | Magyar Kupa |
| Oct 22, 2011 | Vasas(away) | 0-1 | NB I |
| Oct 15, 2011 | Szombathelyi Haladas(home) | 3-2 | NB I |
| Oct 1, 2011 | Budapest Honved(away) | 3-2 | NB I |
| Sep 24, 2011 | Pécsi MFC(home) | 4-4 | NB I |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 22, 2011 | Siofok(home) | 1-1 | NB I |
| Oct 16, 2011 | Ujpest(away) | 2-4 | NB I |
| Oct 1, 2011 | Pápa(home) | 1-1 | NB I |
| Sep 28, 2011 | Kaposvári Rákóczi FC II(away) | 0-1 | Magyar Kupa |
| Sep 23, 2011 | Fehérvár FC(away) | 1-4 | NB I |
How many goals should we expect?
Paks score 1.9 and concede 2.2 goals per match over their last 14; Zalaegerszegi TE score 0.7 and concede 2.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Paks | 1.9 | 2.2 | 1 | 11/14 | 9/14 |
| Zalaegerszegi TE | 0.7 | 2.4 | 0 | 9/14 | 6/14 |
Over the last 14 matches in all competitions.
Where do both teams sit in the table?
Paks sit 6th in NB I (7 points from 5 matches) and Zalaegerszegi TE sit 12th (3 points from 5 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Paks | 5 | 2 | 1 | 2 | 12 | 12 | 7 |
| 12 | Zalaegerszegi TE | 5 | 1 | 0 | 4 | 5 | 14 | 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