New Edubiase vs Ashanti Gold: result 1-0 and analysis
Premier LeagueMatchday 14Kick-off on December 5, 2010 at 02:00 PM (UTC)Len Clay Stadium, Obuasi
Full time
What was the result of New Edubiase vs Ashanti Gold?
New Edubiase won 1-0 on December 5, 2010.
What is the recent form of both teams?
Over their last 13 matches in all competitions, New Edubiase have 5 wins, 6 draws and 2 defeats; Ashanti Gold have 5, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 28, 2010 | Mighty Jets(away) | 1-2 | Premier League |
| Nov 21, 2010 | Liberty Professionals(home) | 0-0 | Premier League |
| Nov 14, 2010 | Asante Kotoko(away) | 2-1 | Premier League |
| Nov 7, 2010 | Legon Cities(home) | 0-0 | Premier League |
| Oct 31, 2010 | Ebusua Dwarfs(away) | 1-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 28, 2010 | Aduana Stars(home) | 1-0 | Premier League |
| Nov 21, 2010 | Hearts of Oak(away) | 0-1 | Premier League |
| Nov 14, 2010 | King Faisal(home) | 1-1 | Premier League |
| Nov 7, 2010 | Real Tamale(away) | 1-0 | Premier League |
| Oct 31, 2010 | Berekum Arsenal(home) | 1-1 | Premier League |
How many goals should we expect?
New Edubiase score 1.2 and concede 0.8 goals per match over their last 13; Ashanti Gold score 0.7 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| New Edubiase | 1.2 | 0.8 | 7 | 6/13 | 6/13 |
| Ashanti Gold | 0.7 | 0.5 | 7 | 2/13 | 1/13 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Ashanti Gold | 10 | 4 | 3 | 3 | 12 | 10 | 15 |
A question about New Edubiase vs Ashanti Gold?
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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