Miedz Legnica vs Legia Warszawa: result 1-4 and analysis
EkstraklasaRegular Season - 9Kick-off on September 22, 2018 at 06:30 PM (UTC)Stadion im. Orła Białego, Legnica
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What was the result of Miedz Legnica vs Legia Warszawa?
Legia Warszawa won 1-4 on September 22, 2018.
Goalscorers
- 22′CafúLegia Warszawa
- 41′P. ForsellMiedz Legnica
- 56′M. KucharczykLegia Warszawa (pen.)
- 79′CarlitosLegia Warszawa
- 89′CafúLegia Warszawa
What is the recent form of both teams?
Over their last 8 matches in all competitions, Miedz Legnica have 3 wins, 2 draws and 3 defeats; Legia Warszawa 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 |
|---|---|---|---|
| Sep 15, 2018 | Wisla Plock(away) | 2-2 | Ekstraklasa |
| Sep 2, 2018 | Zaglebie Lubin(home) | 2-0 | Ekstraklasa |
| Aug 26, 2018 | Jagiellonia(away) | 3-2 | Ekstraklasa |
| Aug 17, 2018 | Korona Kielce(home) | 1-1 | Ekstraklasa |
| Aug 10, 2018 | Lechia Gdansk(away) | 0-2 | Ekstraklasa |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 16, 2018 | Lech Poznan(home) | 1-0 | Ekstraklasa |
| Sep 2, 2018 | Cracovia Krakow(away) | 0-0 | Ekstraklasa |
| Aug 26, 2018 | Wisla Plock(home) | 1-4 | Ekstraklasa |
| Aug 19, 2018 | Zaglebie Sosnowiec(home) | 2-1 | Ekstraklasa |
| Aug 16, 2018 | F91 Dudelange(away) | 2-2 | UEFA Europa League |
How many goals should we expect?
Miedz Legnica score 1.4 and concede 1.5 goals per match over their last 8; Legia Warszawa score 1.2 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Miedz Legnica | 1.4 | 1.5 | 2 | 5/8 | 4/8 |
| Legia Warszawa | 1.2 | 1.1 | 7 | 7/15 | 8/15 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Legia Warszawa | 5 | 3 | 2 | 0 | 11 | 3 | 11 |
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