Meteor Praha vs Baník Souš: result 0-1 and analysis
4. liga - Divizie BRegular Season - 13Kick-off on November 3, 2019 at 09:15 AM (UTC)Sportovní Areál Libeň, Praha
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What was the result of Meteor Praha vs Baník Souš?
Baník Souš won 0-1 on November 3, 2019.
What is the recent form of both teams?
Over their last 14 matches in all competitions, Meteor Praha have 8 wins, 3 draws and 3 defeats; Baník Souš have 9, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 26, 2019 | Kladno(away) | 1-1 | 4. liga - Divizie B |
| Oct 20, 2019 | Dobříš(home) | 3-1 | 4. liga - Divizie B |
| Oct 12, 2019 | Arsenal Česká Lípa(away) | 2-1 | 4. liga - Divizie B |
| Oct 6, 2019 | Brandýs nad Labem(home) | 4-1 | 4. liga - Divizie B |
| Sep 28, 2019 | Aritma Praha(away) | 1-0 | 4. liga - Divizie B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 26, 2019 | Ostrov(home) | 0-2 | 4. liga - Divizie B |
| Oct 19, 2019 | Český Brod(away) | 0-0 | 4. liga - Divizie B |
| Oct 12, 2019 | Tatran Rakovník(home) | 5-2 | 4. liga - Divizie B |
| Oct 5, 2019 | Chomutov(home) | 1-1 | 4. liga - Divizie B |
| Sep 28, 2019 | Kladno(away) | 2-0 | 4. liga - Divizie B |
How many goals should we expect?
Meteor Praha score 1.9 and concede 1.4 goals per match over their last 14; Baník Souš score 2.3 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Meteor Praha | 1.9 | 1.4 | 4 | 8/14 | 10/14 |
| Baník Souš | 2.3 | 0.9 | 5 | 7/14 | 8/14 |
Over the last 14 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Meteor Praha | 13 | 5 | 1 | 7 | 23 | 28 | 16 |
A question about Meteor Praha vs Baník Souš?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy