Chambly II vs Boulogne II: result 1-2 and analysis
National 3 - Group IGroup I - 14Kick-off on January 26, 2020 at 02:00 PM (UTC)Stade des Marais, Chambly
Full time
What was the result of Chambly II vs Boulogne II?
Boulogne II won 1-2 on January 26, 2020.
Goalscorers
- 19′Amine ChmitiBoulogne II
- 45′191395Chambly II
- 65′Amine ChmitiBoulogne II
What is the recent form of both teams?
Over their last 12 matches in all competitions, Chambly II have 3 wins, 4 draws and 5 defeats; Boulogne II have 4, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 19, 2020 | Le Portel(away) | 3-2 | National 3 - Group I |
| Dec 7, 2019 | Beauvais(away) | 1-2 | National 3 - Group I |
| Dec 1, 2019 | Amiens SC II(home) | 0-0 | National 3 - Group I |
| Nov 23, 2019 | Arras(away) | 1-0 | National 3 - Group I |
| Nov 10, 2019 | Feignies-Aulnoye(home) | 0-0 | National 3 - Group I |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 18, 2020 | Feignies-Aulnoye(home) | 2-4 | National 3 - Group I |
| Nov 30, 2019 | Grande-Synthe(home) | 1-1 | National 3 - Group I |
| Nov 23, 2019 | Valenciennes II(away) | 0-2 | National 3 - Group I |
| Nov 9, 2019 | Le Touquet(home) | 3-0 | National 3 - Group I |
| Nov 3, 2019 | Vimy(away) | 0-1 | National 3 - Group I |
What does the head-to-head say?
Across the last 1 meetings: 0 Chambly II win(s), 0 draw(s), 1 Boulogne II win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 24, 2019 | Boulogne II 2-1 Chambly II | National 3 - Group I |
Last archived meeting: Boulogne II vs Chambly II on Aug 24, 2019
How many goals should we expect?
Chambly II score 0.8 and concede 1.0 goals per match over their last 12; Boulogne II score 1.2 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Chambly II | 0.8 | 1.0 | 5 | 5/12 | 5/12 |
| Boulogne II | 1.2 | 1.7 | 2 | 6/12 | 6/12 |
Over the last 12 matches in all competitions.
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