Plzen vs Karviná: result 2-1 and analysis
Czech LigaRegular Season - 19Kick-off on December 16, 2018 at 02:00 PM (UTC)Doosan Aréna, Plzeň
Full time
What was the result of Plzen vs Karviná?
Plzen won 2-1 on December 16, 2018.
Goalscorers
- 7′J. KopicPlzen
- 33′R. ProcházkaPlzen
- 68′A. Ba LouaKarviná
What is the recent form of both teams?
Over their last 15 matches in all competitions, Plzen have 8 wins, 3 draws and 4 defeats; Karviná have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 12, 2018 | AS Roma(home) | 2-1 | UEFA Champions League |
| Dec 7, 2018 | Zlin(away) | 2-0 | Czech Liga |
| Dec 2, 2018 | Sigma Olomouc(home) | 2-0 | Czech Liga |
| Nov 27, 2018 | CSKA Moscow(away) | 2-1 | UEFA Champions League |
| Nov 23, 2018 | Slovan Liberec(away) | 1-1 | Czech Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 8, 2018 | FK Jablonec(home) | 2-1 | Czech Liga |
| Dec 1, 2018 | Mlada Boleslav(away) | 1-1 | Czech Liga |
| Nov 24, 2018 | Slavia Praha(home) | 1-3 | Czech Liga |
| Nov 10, 2018 | Sparta Praha(home) | 1-3 | Czech Liga |
| Nov 3, 2018 | Zlin(away) | 1-2 | Czech Liga |
What does the head-to-head say?
Across the last 1 meetings: 1 Plzen win(s), 0 draw(s), 0 Karviná win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 19, 2018 | Karviná 0-1 Plzen | Czech Liga |
How many goals should we expect?
Plzen score 1.2 and concede 1.5 goals per match over their last 15; Karviná score 1.3 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Plzen | 1.2 | 1.5 | 5 | 7/15 | 8/15 |
| Karviná | 1.3 | 1.7 | 1 | 12/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Plzen | 4 | 1 | 2 | 1 | 10 | 11 | 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