Oiartzun Ke W vs Barcelona W: result 0-1 and analysis
Primera División FemeninaPrimera Division Women - Round 12Kick-off on December 3, 2016 at 08:45 AM (UTC)
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What was the result of Oiartzun Ke W vs Barcelona W?
Barcelona W won 0-1 on December 3, 2016.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Oiartzun Ke W have 0 wins, 4 draws and 6 defeats; Barcelona W have 10, 1 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 19, 2016 | Granad. Tenerife W(away) | 1-2 | Primera División Femenina |
| Nov 13, 2016 | Levante W(home) | 1-2 | Primera División Femenina |
| Nov 5, 2016 | Atletico Madrid W(away) | 0-4 | Primera División Femenina |
| Oct 30, 2016 | Valencia W(home) | 0-1 | Primera División Femenina |
| Oct 16, 2016 | Santa Teresa(away) | 2-2 | Primera División Femenina |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 20, 2016 | Athletic Club W(home) | 2-1 | Primera División Femenina |
| Nov 13, 2016 | Real Betis W(away) | 1-1 | Primera División Femenina |
| Nov 6, 2016 | Ud Tacuense W(home) | 3-0 | Primera División Femenina |
| Nov 2, 2016 | Espanyol W(away) | 6-1 | Primera División Femenina |
| Oct 30, 2016 | Sporting Huelva W(away) | 1-0 | Primera División Femenina |
How many goals should we expect?
Oiartzun Ke W score 1.0 and concede 2.0 goals per match over their last 10; Barcelona W score 3.5 and concede 0.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Oiartzun Ke W | 1.0 | 2.0 | 1 | 6/10 | 6/10 |
| Barcelona W | 3.5 | 0.3 | 8 | 3/11 | 8/11 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Barcelona W | 10 | 9 | 0 | 1 | 41 | 5 | 27 |
A question about Oiartzun Ke W vs Barcelona W?
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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