Korona Kielce vs Jagiellonia: result 1-1 and analysis
EkstraklasaRegular Season - 11Kick-off on October 7, 2018 at 01:30 PM (UTC)EXBUD Arena, Kielce
Full time
What was the result of Korona Kielce vs Jagiellonia?
Korona Kielce and Jagiellonia drew 1-1 on October 7, 2018.
Goalscorers
- 18′A. NovikovasJagiellonia
- 55′Matej PučkoKorona Kielce
What is the recent form of both teams?
Over their last 10 matches in all competitions, Korona Kielce have 5 wins, 3 draws and 2 defeats; Jagiellonia have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2018 | Wisla Krakow(away) | 1-0 | Ekstraklasa |
| Sep 24, 2018 | Zaglebie Sosnowiec(home) | 3-1 | Ekstraklasa |
| Sep 16, 2018 | Pogon Szczecin(away) | 1-1 | Ekstraklasa |
| Aug 31, 2018 | Lechia Gdansk(away) | 0-2 | Ekstraklasa |
| Aug 24, 2018 | Arka Gdynia(home) | 2-1 | Ekstraklasa |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 1, 2018 | Slask Wroclaw(home) | 0-4 | Ekstraklasa |
| Sep 23, 2018 | Gornik Zabrze(away) | 3-1 | Ekstraklasa |
| Sep 14, 2018 | Cracovia Krakow(home) | 3-1 | Ekstraklasa |
| Sep 2, 2018 | Wisla Plock(away) | 1-1 | Ekstraklasa |
| Aug 26, 2018 | Miedz Legnica(home) | 2-3 | Ekstraklasa |
How many goals should we expect?
Korona Kielce score 1.4 and concede 1.1 goals per match over their last 10; Jagiellonia score 1.5 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Korona Kielce | 1.4 | 1.1 | 1 | 8/10 | 5/10 |
| Jagiellonia | 1.5 | 1.5 | 4 | 7/15 | 7/15 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
Korona Kielce sit 11th in Ekstraklasa (5 points from 4 matches) and Jagiellonia sit 10th (6 points from 3 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Jagiellonia | 3 | 2 | 0 | 1 | 3 | 3 | 6 |
| 11 | Korona Kielce | 4 | 1 | 2 | 1 | 4 | 4 | 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