Arsenal vs Capesterre Bell: result 0-0 and analysis
Division d'HonneurRegular Season - 16Kick-off on March 4, 2017 at 08:00 PM (UTC)
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What was the result of Arsenal vs Capesterre Bell?
Arsenal and Capesterre Bell drew 0-0 on March 4, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Arsenal have 7 wins, 6 draws and 2 defeats; Capesterre Bell have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 18, 2017 | Juventus Sainte-Anne(home) | 1-0 | Division d'Honneur |
| Feb 16, 2017 | USCB(away) | 5-2 | Division d'Honneur |
| Feb 5, 2017 | Siroco Les Abymes(away) | 1-1 | Division d'Honneur |
| Jan 28, 2017 | USBM(home) | 1-0 | Division d'Honneur |
| Jan 21, 2017 | La Gauloise(home) | 1-1 | Division d'Honneur |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 19, 2017 | Gosier(home) | 2-1 | Division d'Honneur |
| Feb 9, 2017 | Juventus Sainte-Anne(away) | 2-0 | Division d'Honneur |
| Feb 4, 2017 | USR Sainte-Rose(away) | 1-0 | Division d'Honneur |
| Jan 29, 2017 | USCB(home) | 2-1 | Division d'Honneur |
| Jan 22, 2017 | Siroco Les Abymes(away) | 0-0 | Division d'Honneur |
What does the head-to-head say?
In the last meeting: 0 Arsenal wins, 1 draw, 0 Capesterre Bell wins.
| Date | Score | Competition |
|---|---|---|
| Oct 16, 2016 | Capesterre Bell 1-1 Arsenal | Division d'Honneur |
Last archived meeting: Capesterre Bell vs Arsenal on Oct 16, 2016
How many goals should we expect?
Arsenal score 1.5 and concede 1.0 goals per match over their last 15; Capesterre Bell score 1.3 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Arsenal | 1.5 | 1.0 | 4 | 10/15 | 7/15 |
| Capesterre Bell | 1.3 | 1.3 | 5 | 6/15 | 6/15 |
Over the last 15 matches in all competitions.
A question about Arsenal vs Capesterre Bell?
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