Medeama vs Ebusua Dwarfs: result 0-0 and analysis
Premier LeagueRegular Season - 12Kick-off on November 21, 2010 at 03:00 PM (UTC)Sekondi-Takoradi Stadium, Sekondi-Takoradi
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What was the result of Medeama vs Ebusua Dwarfs?
Medeama and Ebusua Dwarfs drew 0-0 on November 21, 2010.
What is the recent form of both teams?
Over their last 11 matches in all competitions, Medeama have 5 wins, 3 draws and 3 defeats; Ebusua Dwarfs have 4, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 14, 2010 | Berekum Arsenal(away) | 0-2 | Premier League |
| Nov 7, 2010 | Berekum Chelsea(home) | 0-1 | Premier League |
| Nov 1, 2010 | Heart of Lions(away) | 0-0 | Premier League |
| Oct 24, 2010 | Brong Ahafo Stars(home) | 3-1 | Premier League |
| Oct 17, 2010 | Ashanti Gold(away) | 0-0 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 14, 2010 | Berekum Chelsea(home) | 3-1 | Premier League |
| Nov 7, 2010 | Brong Ahafo Stars(away) | 0-1 | Premier League |
| Oct 31, 2010 | New Edubiase(home) | 1-1 | Premier League |
| Oct 24, 2010 | Aduana Stars(away) | 1-1 | Premier League |
| Oct 17, 2010 | Hearts of Oak(home) | 0-0 | Premier League |
How many goals should we expect?
Medeama score 1.0 and concede 0.7 goals per match over their last 11; Ebusua Dwarfs score 1.1 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Medeama | 1.0 | 0.7 | 5 | 4/11 | 3/11 |
| Ebusua Dwarfs | 1.1 | 0.8 | 3 | 5/11 | 4/11 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Medeama | 6 | 4 | 2 | 0 | 12 | 5 | 14 |
A question about Medeama vs Ebusua Dwarfs?
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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