APEJES Academy vs Cosmos de Bafia: result 1-1 and analysis
Elite OneMatchday 13Kick-off on April 24, 2016 at 02:00 PM (UTC)Stade de Ngoa Ekélé, Yaoundé
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What was the result of APEJES Academy vs Cosmos de Bafia?
APEJES Academy and Cosmos de Bafia drew 1-1 on April 24, 2016.
What is the recent form of both teams?
Over their last 12 matches in all competitions, APEJES Academy have 2 wins, 4 draws and 6 defeats; Cosmos de Bafia have 2, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 17, 2016 | New Star(home) | 2-2 | Elite One |
| Apr 13, 2016 | Union Douala(away) | 0-2 | Elite One |
| Apr 10, 2016 | Eding Sport(away) | 0-1 | Elite One |
| Apr 3, 2016 | Les Astres(home) | 0-2 | Elite One |
| Mar 24, 2016 | UMS de Loum(home) | 1-0 | Elite One |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 18, 2016 | Dragon de Yaoundé(home) | 2-1 | Elite One |
| Apr 14, 2016 | Young Sport Academy(home) | 0-2 | Elite One |
| Apr 10, 2016 | Canon(away) | 1-2 | Elite One |
| Apr 3, 2016 | New Star(home) | 0-0 | Elite One |
| Mar 20, 2016 | Racing(away) | 0-3 | Elite One |
How many goals should we expect?
APEJES Academy score 0.9 and concede 1.2 goals per match over their last 12; Cosmos de Bafia score 0.3 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| APEJES Academy | 0.9 | 1.2 | 3 | 4/12 | 3/12 |
| Cosmos de Bafia | 0.3 | 1.1 | 4 | 2/12 | 3/12 |
Over the last 12 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | APEJES Academy | 4 | 0 | 2 | 2 | 3 | 6 | 2 |
A question about APEJES Academy vs Cosmos de Bafia?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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