Ashanti Gold vs Mighty Jets: result 3-0 and analysis
Premier LeagueRegular Season - 6Kick-off on October 6, 2010 at 03:00 PM (UTC)Len Clay Stadium, Obuasi
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What was the result of Ashanti Gold vs Mighty Jets?
Ashanti Gold won 3-0 on October 6, 2010.
What is the recent form of both teams?
Over their last 5 matches in all competitions, Ashanti Gold have 1 win, 1 draw and 3 defeats; Mighty Jets have 1, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 3, 2010 | Liberty Professionals(away) | 0-2 | Premier League |
| Sep 26, 2010 | Asante Kotoko(home) | 0-1 | Premier League |
| Sep 19, 2010 | Legon Cities(away) | 0-1 | Premier League |
| Sep 12, 2010 | Ebusua Dwarfs(home) | 1-0 | Premier League |
| Sep 5, 2010 | Berekum Chelsea(away) | 0-0 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 3, 2010 | Medeama(home) | 2-1 | Premier League |
| Sep 26, 2010 | Liberty Professionals(home) | 1-2 | Premier League |
| Sep 19, 2010 | Asante Kotoko(away) | 0-1 | Premier League |
| Sep 12, 2010 | Legon Cities(home) | 1-1 | Premier League |
| Sep 5, 2010 | Ebusua Dwarfs(away) | 0-1 | Premier League |
How many goals should we expect?
Ashanti Gold score 0.2 and concede 0.8 goals per match over their last 5; Mighty Jets score 0.8 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ashanti Gold | 0.2 | 0.8 | 2 | 0/5 | 0/5 |
| Mighty Jets | 0.8 | 1.2 | 0 | 3/5 | 2/5 |
Over the last 5 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Ashanti Gold | 7 | 3 | 1 | 3 | 9 | 8 | 10 |
A question about Ashanti Gold vs Mighty Jets?
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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