Hasaacas vs Berekum Chelsea: result 3-1 and analysis
Premier LeagueRegular Season - 10Kick-off on November 3, 2013 at 03:00 PM (UTC)Sekondi-Takoradi Stadium, Sekondi-Takoradi
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What was the result of Hasaacas vs Berekum Chelsea?
Hasaacas won 3-1 on November 3, 2013.
What is the recent form of both teams?
Over their last 9 matches in all competitions, Hasaacas have 1 win, 4 draws and 4 defeats; Berekum Chelsea 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 |
|---|---|---|---|
| Oct 27, 2013 | Bechem United(away) | 0-0 | Premier League |
| Oct 23, 2013 | Legon Cities(away) | 0-1 | Premier League |
| Oct 20, 2013 | Inter Allies(home) | 1-0 | Premier League |
| Oct 17, 2013 | Asante Kotoko(away) | 1-2 | Premier League |
| Oct 6, 2013 | New Edubiase(home) | 1-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2013 | Inter Allies(home) | 2-0 | Premier League |
| Oct 23, 2013 | Asante Kotoko(away) | 1-2 | Premier League |
| Oct 20, 2013 | New Edubiase(home) | 0-0 | Premier League |
| Oct 13, 2013 | Hearts of Oak(away) | 0-1 | Premier League |
| Oct 6, 2013 | Aduana Stars(home) | 1-1 | Premier League |
How many goals should we expect?
Hasaacas score 0.4 and concede 0.8 goals per match over their last 9; Berekum Chelsea score 1.0 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Hasaacas | 0.4 | 0.8 | 4 | 3/9 | 2/9 |
| Berekum Chelsea | 1.0 | 1.1 | 5 | 7/15 | 6/15 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Berekum Chelsea | 8 | 3 | 2 | 3 | 10 | 9 | 11 |
A question about Hasaacas vs Berekum Chelsea?
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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