FF USV Jena W vs SGS Essen W: result 0-4 and analysis
Frauen BundesligaWomen Bundesliga - Round 8Kick-off on November 12, 2016 at 12:00 PM (UTC)
Full time
What was the result of FF USV Jena W vs SGS Essen W?
SGS Essen W won 0-4 on November 12, 2016.
What is the recent form of both teams?
Over their last 7 matches in all competitions, FF USV Jena W have 2 wins, 0 draws and 5 defeats; SGS Essen W have 4, 2 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 5, 2016 | Turbine Potsdam W(away) | 0-1 | Frauen Bundesliga |
| Oct 30, 2016 | Borussia Monchengladbach W(home) | 1-0 | Frauen Bundesliga |
| Oct 16, 2016 | Frankfurt W(away) | 1-2 | Frauen Bundesliga |
| Oct 2, 2016 | 1899 Hoffenheim W(home) | 0-1 | Frauen Bundesliga |
| Sep 25, 2016 | MSV Duisburg W(away) | 1-3 | Frauen Bundesliga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 5, 2016 | SC Freiburg W(home) | 1-0 | Frauen Bundesliga |
| Oct 30, 2016 | SC Sand W(home) | 1-1 | Frauen Bundesliga |
| Oct 15, 2016 | Turbine Potsdam W(away) | 0-2 | Frauen Bundesliga |
| Oct 2, 2016 | Borussia Monchengladbach W(home) | 3-0 | Frauen Bundesliga |
| Sep 25, 2016 | Frankfurt W(away) | 2-2 | Frauen Bundesliga |
How many goals should we expect?
FF USV Jena W score 0.7 and concede 1.1 goals per match over their last 7; SGS Essen W score 1.6 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FF USV Jena W | 0.7 | 1.1 | 2 | 2/7 | 2/7 |
| SGS Essen W | 1.6 | 0.7 | 4 | 2/7 | 3/7 |
Over the last 7 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | SGS Essen W | 26 | 3 | 7 | 16 | 22 | 63 | 16 |
A question about FF USV Jena W vs SGS Essen W?
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