Zalaegerszegi TE vs Kaposvar: result 2-1 and analysis
NB IIRegular Season - 15Kick-off on November 22, 2014 at 01:00 PM (UTC)ZTE-Aréna, Zalaegerszeg
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What was the result of Zalaegerszegi TE vs Kaposvar?
Zalaegerszegi TE won 2-1 on November 22, 2014.
Goalscorers
- 11′Gergely DélczegZalaegerszegi TE (pen.)
- 30′A. FejősKaposvar
- 41′B. BabatiZalaegerszegi TE
What is the recent form of both teams?
Over their last 15 matches in all competitions, Zalaegerszegi TE have 4 wins, 5 draws and 6 defeats; Kaposvar have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 15, 2014 | Ajka(away) | 2-2 | NB II |
| Nov 8, 2014 | Balmazujvaros(home) | 3-3 | NB II |
| Oct 31, 2014 | Vasas(away) | 0-2 | NB II |
| Oct 25, 2014 | Gyirmot SE(home) | 2-3 | NB II |
| Oct 18, 2014 | Mezokovesd-zsory(away) | 1-1 | NB II |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 15, 2014 | Cegledi VSE(home) | 0-0 | NB II |
| Nov 8, 2014 | Soroksar(away) | 0-2 | NB II |
| Nov 1, 2014 | Szeged 2011(home) | 0-1 | NB II |
| Oct 25, 2014 | SZTK-Erima(away) | 3-0 | NB II |
| Oct 18, 2014 | Szolnoki MAV FC(home) | 1-2 | NB II |
What does the head-to-head say?
Across the last 2 meetings: 0 Zalaegerszegi TE win(s), 1 draw(s), 1 Kaposvar win(s).
| Date | Score | Competition |
|---|---|---|
| May 27, 2012 | Kaposvar 3-1 Zalaegerszegi TE | NB I |
| Nov 5, 2011 | Zalaegerszegi TE 1-1 Kaposvar | NB I |
Last archived meeting: Kaposvar vs Zalaegerszegi TE on May 27, 2012
How many goals should we expect?
Zalaegerszegi TE score 1.5 and concede 1.7 goals per match over their last 15; Kaposvar score 1.1 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Zalaegerszegi TE | 1.5 | 1.7 | 3 | 9/15 | 9/15 |
| Kaposvar | 1.1 | 1.2 | 4 | 7/15 | 7/15 |
Over the last 15 matches in all competitions.
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