Panthères vs Mogas 90: result 1-1 and analysis
Championnat NationalGroup B - 12Kick-off on May 4, 2016 at 02:00 PM (UTC)Stade Djougou, Djougou
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What was the result of Panthères vs Mogas 90?
Panthères and Mogas 90 drew 1-1 on May 4, 2016.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Panthères have 2 wins, 2 draws and 6 defeats; Mogas 90 have 0, 6 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 30, 2016 | Police(home) | 1-2 | Championnat National |
| Apr 27, 2016 | ASPAC(away) | 0-1 | Championnat National |
| Apr 20, 2016 | Tonnerre(home) | 1-0 | Championnat National |
| Apr 17, 2016 | Buffles(away) | 3-3 | Championnat National |
| Apr 3, 2016 | Energie(home) | 2-3 | Championnat National |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Apr 6, 2016 | ASPAC(home) | 0-0 | Championnat National |
What does the head-to-head say?
Across the last 1 meetings: 1 Panthères win(s), 0 draw(s), 0 Mogas 90 win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 26, 2016 | Mogas 90 2-3 Panthères | Championnat National |
Last archived meeting: Mogas 90 vs Panthères on Mar 26, 2016
How many goals should we expect?
Panthères score 1.2 and concede 1.6 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 |
|---|---|---|---|---|---|
| Panthères | 1.2 | 1.6 | 1 | 6/10 | 5/10 |
| Mogas 90 | 0.9 | 1.4 | 3 | 4/9 | 3/9 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Panthères | 35 | 14 | 11 | 10 | 37 | 33 | 53 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy