Medeama vs New Edubiase: result 3-1 and analysis
Premier LeagueRegular Season - 6Kick-off on October 6, 2010 at 03:00 PM (UTC)Sekondi-Takoradi Stadium, Sekondi-Takoradi
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What was the result of Medeama vs New Edubiase?
Medeama won 3-1 on October 6, 2010.
What is the recent form of both teams?
Over their last 5 matches in all competitions, Medeama have 3 wins, 1 draw and 1 defeat; New Edubiase have 2, 3 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 3, 2010 | Mighty Jets(away) | 1-2 | Premier League |
| Sep 26, 2010 | Aduana Stars(home) | 1-1 | Premier League |
| Sep 19, 2010 | Liberty Professionals(away) | 1-0 | Premier League |
| Sep 12, 2010 | Hearts of Oak(home) | 1-0 | Premier League |
| Sep 5, 2010 | Asante Kotoko(away) | 1-0 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 3, 2010 | Aduana Stars(home) | 0-0 | Premier League |
| Sep 26, 2010 | Hearts of Oak(away) | 1-0 | Premier League |
| Sep 19, 2010 | King Faisal(home) | 2-2 | Premier League |
| Sep 12, 2010 | Real Tamale(away) | 0-0 | Premier League |
| Sep 5, 2010 | Berekum Arsenal(home) | 3-1 | Premier League |
How many goals should we expect?
Medeama score 1.0 and concede 0.6 goals per match over their last 5; New Edubiase score 1.2 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Medeama | 1.0 | 0.6 | 3 | 2/5 | 1/5 |
| New Edubiase | 1.2 | 0.6 | 3 | 2/5 | 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 |
|---|---|---|---|---|---|---|---|---|
| 1 | Medeama | 6 | 4 | 2 | 0 | 12 | 5 | 14 |
A question about Medeama vs New Edubiase?
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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