Bobigny vs Creteil: result 0-1 and analysis
National 2 - Group DRegular Season - 6Kick-off on September 15, 2018 at 04:00 PM (UTC)Stade Auguste Delaune, Bobigny
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What was the result of Bobigny vs Creteil?
Creteil won 0-1 on September 15, 2018.
What is the recent form of both teams?
Over their last 9 matches in all competitions, Bobigny have 3 wins, 2 draws and 4 defeats; Creteil have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 8, 2018 | Croix Football IC(home) | 3-0 | National 2 - Group D |
| Sep 1, 2018 | Arras(away) | 1-1 | National 2 - Group D |
| Aug 25, 2018 | Reims II(home) | 1-2 | National 2 - Group D |
| Aug 18, 2018 | Fleury 91(away) | 0-1 | National 2 - Group D |
| Aug 11, 2018 | Haguenau(home) | 1-1 | National 2 - Group D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 8, 2018 | Arras(home) | 6-1 | National 2 - Group D |
| Sep 1, 2018 | Reims II(away) | 1-0 | National 2 - Group D |
| Aug 25, 2018 | Fleury 91(home) | 1-0 | National 2 - Group D |
| Aug 18, 2018 | Haguenau(away) | 1-0 | National 2 - Group D |
| Aug 11, 2018 | Lille II(home) | 1-1 | National 2 - Group D |
How many goals should we expect?
Bobigny score 1.3 and concede 1.1 goals per match over their last 9; Creteil score 1.3 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bobigny | 1.3 | 1.1 | 3 | 4/9 | 5/9 |
| Creteil | 1.3 | 1.3 | 4 | 10/15 | 7/15 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
Bobigny sit 4th in National 2 - Group D (42 points from 26 matches) and Creteil sit 5th (37 points from 26 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Bobigny | 26 | 10 | 12 | 4 | 39 | 30 | 42 |
| 5 | Creteil | 26 | 10 | 7 | 9 | 30 | 29 | 37 |
A question about Bobigny vs Creteil?
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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