Bobigny vs Epinal: result 0-2 and analysis
National 2 - Group DRegular Season - 21Kick-off on March 8, 2019 at 06:00 PM (UTC)Stade Auguste Delaune, Bobigny
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What was the result of Bobigny vs Epinal?
Epinal won 0-2 on March 8, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bobigny have 6 wins, 4 draws and 5 defeats; Epinal 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 |
|---|---|---|---|
| Feb 23, 2019 | Creteil(away) | 0-3 | National 2 - Group D |
| Feb 16, 2019 | Croix Football IC(away) | 1-0 | National 2 - Group D |
| Feb 13, 2019 | Sedan(away) | 2-2 | National 2 - Group D |
| Feb 9, 2019 | Reims II(away) | 0-0 | National 2 - Group D |
| Feb 2, 2019 | Arras(home) | 2-0 | National 2 - Group D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 23, 2019 | Arras(home) | 2-2 | National 2 - Group D |
| Feb 16, 2019 | Reims II(away) | 0-0 | National 2 - Group D |
| Feb 13, 2019 | Lens II(home) | 1-2 | National 2 - Group D |
| Feb 9, 2019 | Lille II(home) | 3-2 | National 2 - Group D |
| Feb 2, 2019 | Fleury 91(home) | 1-1 | National 2 - Group D |
What does the head-to-head say?
In the last meeting: 0 Bobigny wins, 0 draws, 1 Epinal win.
| Date | Score | Competition |
|---|---|---|
| Sep 22, 2018 | Epinal 3-0 Bobigny | National 2 - Group D |
How many goals should we expect?
Bobigny score 1.2 and concede 1.5 goals per match over their last 15; Epinal score 1.1 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bobigny | 1.2 | 1.5 | 4 | 8/15 | 8/15 |
| Epinal | 1.1 | 1.4 | 4 | 7/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Bobigny | 26 | 10 | 12 | 4 | 39 | 30 | 42 |
A question about Bobigny vs Epinal?
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