Korona Kielce vs Slask Wroclaw: result 2-1 and analysis
EkstraklasaRegular Season - 4Kick-off on August 13, 2018 at 04:00 PM (UTC)EXBUD Arena, Kielce
Full time
What was the result of Korona Kielce vs Slask Wroclaw?
Korona Kielce won 2-1 on August 13, 2018.
Goalscorers
- 10′Marcin Andrzej RobakSlask Wroclaw
- 20′Elia SorianoKorona Kielce (pen.)
- 81′M. GórskiKorona Kielce
What is the recent form of both teams?
Over their last 3 matches in all competitions, Korona Kielce have 1 wins, 1 draws and 1 defeats; Slask Wroclaw have 4, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 3, 2018 | Wisla Plock(away) | 2-1 | Ekstraklasa |
| Jul 28, 2018 | Legia Warszawa(home) | 1-2 | Ekstraklasa |
| Jul 22, 2018 | Gornik Zabrze(away) | 1-1 | Ekstraklasa |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 5, 2018 | Lech Poznan(home) | 0-1 | Ekstraklasa |
| Jul 27, 2018 | Lechia Gdansk(away) | 1-1 | Ekstraklasa |
| Jul 21, 2018 | Cracovia Krakow(home) | 3-1 | Ekstraklasa |
| Jul 23, 2015 | IFK Goteborg(away) | 0-2 | UEFA Europa League |
| Jul 16, 2015 | IFK Goteborg(home) | 0-0 | UEFA Europa League |
How many goals should we expect?
Korona Kielce score 1.3 and concede 1.3 goals per match over their last 3; Slask Wroclaw score 1.0 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Korona Kielce | 1.3 | 1.3 | 0 | 3/3 | 2/3 |
| Slask Wroclaw | 1.0 | 1.2 | 3 | 4/11 | 4/11 |
Over the last 3 matches in all competitions.
Where do both teams sit in the table?
Korona Kielce sit 11th in Ekstraklasa (5 points from 4 matches) and Slask Wroclaw sit 12th (5 points from 5 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Korona Kielce | 4 | 1 | 2 | 1 | 4 | 4 | 5 |
| 12 | Slask Wroclaw | 5 | 1 | 2 | 2 | 7 | 8 | 5 |
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