ASPAC vs Mogas 90: result 0-1 and analysis
Championnat NationalGroup B - 13Kick-off on May 8, 2016 at 03:00 PM (UTC)Stade de Toffo, Toffo
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What was the result of ASPAC vs Mogas 90?
Mogas 90 won 0-1 on May 8, 2016.
What is the recent form of both teams?
Over their last 10 matches in all competitions, ASPAC have 7 wins, 3 draws and 0 defeats; Mogas 90 have 0, 7 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 4, 2016 | Energie(home) | 0-0 | Championnat National |
| Apr 27, 2016 | Panthères(home) | 1-0 | Championnat National |
| Apr 20, 2016 | Buffles(away) | 2-1 | Championnat National |
| Apr 16, 2016 | Tonnerre(home) | 3-1 | Championnat National |
| Apr 10, 2016 | Police(home) | 1-1 | Championnat National |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 4, 2016 | Panthères(away) | 1-1 | Championnat National |
| May 1, 2016 | Buffles(home) | 0-2 | Championnat National |
| Apr 24, 2016 | Energie(away) | 0-0 | Championnat National |
| Apr 17, 2016 | Police(home) | 3-3 | Championnat National |
| Apr 10, 2016 | Tonnerre(away) | 0-0 | Championnat National |
What does the head-to-head say?
In the last meeting: 0 ASPAC wins, 1 draw, 0 Mogas 90 wins.
| Date | Score | Competition |
|---|---|---|
| Apr 6, 2016 | Mogas 90 0-0 ASPAC | Championnat National |
How many goals should we expect?
ASPAC score 1.3 and concede 0.5 goals per match over their last 10; Mogas 90 score 0.9 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| ASPAC | 1.3 | 0.5 | 5 | 5/10 | 4/10 |
| Mogas 90 | 0.9 | 1.4 | 3 | 5/10 | 3/10 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | ASPAC | 33 | 16 | 11 | 6 | 46 | 22 | 59 |
A question about ASPAC vs Mogas 90?
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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