Barcelona B vs Sabadell: result 1-0 and analysis
Primera División RFEF - Group 3Group 3 - 10Kick-off on October 27, 2019 at 04:00 PM (UTC)Estadi Johan Cruyff, Sant Joan Despí
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What was the result of Barcelona B vs Sabadell?
Barcelona B won 1-0 on October 27, 2019.
Goalscorers
- 23′MonchuBarcelona B
What is the recent form of both teams?
Over their last 15 matches in all competitions, Barcelona B have 6 wins, 4 draws and 5 defeats; Sabadell have 5, 3 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 19, 2019 | Llagostera(away) | 1-1 | Primera División RFEF - Group 3 |
| Oct 12, 2019 | Orihuela(home) | 3-0 | Primera División RFEF - Group 3 |
| Oct 6, 2019 | Hércules(away) | 1-4 | Primera División RFEF - Group 3 |
| Sep 29, 2019 | Levante II(home) | 2-0 | Primera División RFEF - Group 3 |
| Sep 21, 2019 | Villarreal II(away) | 1-0 | Primera División RFEF - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2019 | Espanyol II(home) | 3-1 | Primera División RFEF - Group 3 |
| Oct 12, 2019 | Llagostera(away) | 1-0 | Primera División RFEF - Group 3 |
| Oct 6, 2019 | Olot(home) | 1-1 | Primera División RFEF - Group 3 |
| Sep 29, 2019 | Orihuela(away) | 1-1 | Primera División RFEF - Group 3 |
| Sep 22, 2019 | La Nucía(home) | 1-0 | Primera División RFEF - Group 3 |
How many goals should we expect?
Barcelona B score 1.3 and concede 1.1 goals per match over their last 15; Sabadell score 1.2 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Barcelona B | 1.3 | 1.1 | 5 | 6/15 | 6/15 |
| Sabadell | 1.2 | 0.7 | 4 | 4/9 | 2/9 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Barcelona B | 20 | 10 | 4 | 6 | 28 | 17 | 34 |
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