Plzen vs Dinamo Zagreb: result 1-0 and analysis
UEFA Europa Conference LeagueGroup Stage - 4Kick-off on November 9, 2023 at 05:45 PM (UTC)Doosan Aréna, Plzeň
Full time
What was the result of Plzen vs Dinamo Zagreb?
Plzen won 1-0 on November 9, 2023.
Goalscorers
- 35′T. ChorýPlzen (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Plzen have 12 wins, 0 draws and 3 defeats; Dinamo Zagreb have 9, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 5, 2023 | Slavia Praha(away) | 2-1 | Czech Liga |
| Oct 29, 2023 | Karviná(home) | 0-1 | Czech Liga |
| Oct 26, 2023 | Dinamo Zagreb(away) | 1-0 | UEFA Europa Conference League |
| Oct 21, 2023 | Slovan Liberec(away) | 0-3 | Czech Liga |
| Oct 12, 2023 | Mariánské Lázně(away) | 10-0 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 5, 2023 | NK Varazdin(away) | 1-1 | HNL |
| Nov 1, 2023 | Oriolik Oriovac(away) | 8-0 | Cup |
| Oct 29, 2023 | NK Lokomotiva Zagreb(home) | 2-1 | HNL |
| Oct 26, 2023 | Plzen(home) | 0-1 | UEFA Europa Conference League |
| Oct 21, 2023 | HNK Gorica(away) | 1-2 | HNL |
What does the head-to-head say?
Across the last 3 meetings: 2 Plzen win(s), 0 draw(s), 1 Dinamo Zagreb win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 26, 2023 | Dinamo Zagreb 0-1 Plzen | UEFA Europa Conference League |
| Feb 21, 2019 | Dinamo Zagreb 3-0 Plzen | UEFA Europa League |
| Feb 14, 2019 | Plzen 2-1 Dinamo Zagreb | UEFA Europa League |
Last archived meeting: Dinamo Zagreb vs Plzen on Oct 26, 2023
How many goals should we expect?
Plzen score 2.8 and concede 1.0 goals per match over their last 15; Dinamo Zagreb score 2.5 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Plzen | 2.8 | 1.0 | 5 | 8/15 | 11/15 |
| Dinamo Zagreb | 2.5 | 1.2 | 3 | 9/15 | 11/15 |
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