Štětí vs Louny: result 4-0 and analysis
4. liga - Divizie BDivision B - 6Kick-off on September 26, 2020 at 08:15 AM (UTC)Městský Stadion, Štětí
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What was the result of Štětí vs Louny?
Štětí won 4-0 on September 26, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Štětí have 4 wins, 3 draws and 8 defeats; Louny have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 20, 2020 | Meteor Praha(away) | 1-4 | 4. liga - Divizie B |
| Sep 16, 2020 | Baník Souš(away) | 0-4 | 4. liga - Divizie B |
| Sep 12, 2020 | Ostrov(home) | 2-3 | 4. liga - Divizie B |
| Sep 5, 2020 | Český Brod(away) | 0-5 | 4. liga - Divizie B |
| Aug 29, 2020 | Tatran Rakovník(home) | 0-2 | 4. liga - Divizie B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 20, 2020 | Slaný(home) | 0-1 | 4. liga - Divizie B |
| Sep 11, 2020 | Chomutov(away) | 0-1 | 4. liga - Divizie B |
| Sep 6, 2020 | Meteor Praha(away) | 1-3 | 4. liga - Divizie B |
| Aug 30, 2020 | Ostrov(home) | 5-2 | 4. liga - Divizie B |
| Aug 22, 2020 | Český Brod(away) | 1-1 | 4. liga - Divizie B |
What does the head-to-head say?
In the last meeting: 1 Štětí win, 0 draws, 0 Louny wins.
| Date | Score | Competition |
|---|---|---|
| Sep 14, 2019 | Štětí 2-0 Louny | 4. liga - Divizie B |
How many goals should we expect?
Štětí score 1.7 and concede 2.9 goals per match over their last 15; Louny score 1.8 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Štětí | 1.7 | 2.9 | 2 | 8/15 | 12/15 |
| Louny | 1.8 | 1.7 | 2 | 10/15 | 9/15 |
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 | Štětí | 10 | 3 | 3 | 4 | 15 | 18 | 12 |
A question about Štětí vs Louny?
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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