Lille II vs Haguenau: result 0-0 and analysis
National 2 - Group DMatchday 11Kick-off on November 10, 2018 at 05:00 PM (UTC)Complexe Sportif de Luchin, Camphin-en-Pévèle
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What was the result of Lille II vs Haguenau?
Lille II and Haguenau drew 0-0 on November 10, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lille II have 6 wins, 6 draws and 3 defeats; Haguenau have 3, 5 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2018 | Croix Football IC(away) | 2-2 | National 2 - Group D |
| Oct 20, 2018 | St Maur Lusitanos(away) | 4-2 | National 2 - Group D |
| Oct 6, 2018 | Feignies-Aulnoye(home) | 3-0 | National 2 - Group D |
| Sep 22, 2018 | Lens II(away) | 3-1 | National 2 - Group D |
| Sep 15, 2018 | Sedan(home) | 0-0 | National 2 - Group D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2018 | St Maur Lusitanos(home) | 1-0 | National 2 - Group D |
| Oct 20, 2018 | Feignies-Aulnoye(away) | 1-1 | National 2 - Group D |
| Oct 6, 2018 | Lens II(home) | 1-1 | National 2 - Group D |
| Sep 22, 2018 | Sedan(away) | 1-1 | National 2 - Group D |
| Sep 15, 2018 | Belfort(home) | 4-2 | National 2 - Group D |
How many goals should we expect?
Lille II score 1.6 and concede 1.1 goals per match over their last 15; Haguenau score 1.0 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lille II | 1.6 | 1.1 | 5 | 9/15 | 8/15 |
| Haguenau | 1.0 | 1.4 | 3 | 8/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Haguenau | 26 | 9 | 5 | 12 | 32 | 47 | 32 |
A question about Lille II vs Haguenau?
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