Brandýs nad Labem vs Neratovice-Byškovice: result 3-1 and analysis
4. liga - Divizie BRegular Season - 14Kick-off on November 9, 2019 at 09:15 AM (UTC)Na Spořilově, Brandýs nad Labem-Stará Boleslav
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What was the result of Brandýs nad Labem vs Neratovice-Byškovice?
Brandýs nad Labem won 3-1 on November 9, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Brandýs nad Labem have 4 wins, 5 draws and 6 defeats; Neratovice-Byškovice have 4, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 2, 2019 | Olympie Březová(away) | 0-0 | 4. liga - Divizie B |
| Oct 26, 2019 | Štětí(home) | 3-0 | 4. liga - Divizie B |
| Oct 19, 2019 | Slaný(away) | 1-1 | 4. liga - Divizie B |
| Oct 12, 2019 | Louny(home) | 0-4 | 4. liga - Divizie B |
| Oct 6, 2019 | Meteor Praha(away) | 1-4 | 4. liga - Divizie B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 2, 2019 | Aritma Praha(home) | 1-3 | 4. liga - Divizie B |
| Oct 25, 2019 | Chomutov(away) | 1-1 | 4. liga - Divizie B |
| Oct 19, 2019 | Olympie Březová(away) | 1-1 | 4. liga - Divizie B |
| Oct 12, 2019 | Štětí(home) | 6-0 | 4. liga - Divizie B |
| Oct 5, 2019 | Slaný(away) | 2-0 | 4. liga - Divizie B |
How many goals should we expect?
Brandýs nad Labem score 0.9 and concede 1.7 goals per match over their last 15; Neratovice-Byškovice score 1.5 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Brandýs nad Labem | 0.9 | 1.7 | 7 | 4/15 | 6/15 |
| Neratovice-Byškovice | 1.5 | 1.1 | 4 | 7/14 | 6/14 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Brandýs nad Labem | 12 | 6 | 0 | 6 | 29 | 28 | 18 |
A question about Brandýs nad Labem vs Neratovice-Byškovice?
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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