Lens II vs Bobigny: result 0-1 and analysis
National 2 - Group DRegular Season - 26Kick-off on April 20, 2019 at 04:00 PM (UTC)Stade François Blin
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What was the result of Lens II vs Bobigny?
Bobigny won 0-1 on April 20, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lens II have 7 wins, 3 draws and 5 defeats; Bobigny have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 13, 2019 | Arras(away) | 1-1 | National 2 - Group D |
| Apr 6, 2019 | Reims II(home) | 2-0 | National 2 - Group D |
| Mar 24, 2019 | Fleury 91(away) | 2-3 | National 2 - Group D |
| Mar 16, 2019 | Haguenau(home) | 1-1 | National 2 - Group D |
| Mar 9, 2019 | Lille II(away) | 2-3 | National 2 - Group D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 13, 2019 | Sedan(home) | 0-2 | National 2 - Group D |
| Apr 6, 2019 | Belfort(away) | 0-2 | National 2 - Group D |
| Mar 23, 2019 | Sainte Geneviève(home) | 1-2 | National 2 - Group D |
| Mar 16, 2019 | Schiltigheim(away) | 1-1 | National 2 - Group D |
| Mar 8, 2019 | Epinal(home) | 0-2 | National 2 - Group D |
What does the head-to-head say?
Across the last 1 meetings: 0 Lens II win(s), 0 draw(s), 1 Bobigny win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 25, 2018 | Bobigny 2-1 Lens II | National 2 - Group D |
How many goals should we expect?
Lens II score 1.5 and concede 1.2 goals per match over their last 15; Bobigny score 1.0 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lens II | 1.5 | 1.2 | 5 | 9/15 | 8/15 |
| Bobigny | 1.0 | 1.5 | 3 | 7/15 | 6/15 |
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 |
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