Djibouti vs Gambia: result 1-1 and analysis
Africa Cup of Nations - QualificationPreliminary RoundKick-off on October 9, 2019 at 04:00 PM (UTC)Stade El Hadj Hassan Gouled, Djibouti (Ville de Djibouti)
Full time
What was the result of Djibouti vs Gambia?
Djibouti and Gambia drew 1-1 on October 9, 2019.
Goalscorers
- 59′Mohammed Jallow-MbyeDjibouti (o.g.)
- 90′Bubacarr SannehGambia
What is the recent form of both teams?
Over their last 15 matches in all competitions, Djibouti have 2 wins, 1 draws and 12 defeats; Gambia have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 10, 2019 | Eswatini(away) | 0-0 | World Cup - Qualification Africa |
| Sep 4, 2019 | Eswatini(home) | 2-1 | World Cup - Qualification Africa |
| Aug 4, 2019 | Ethiopia(away) | 3-4 | African Nations Championship |
| Jul 26, 2019 | Ethiopia(home) | 0-1 | African Nations Championship |
| Jul 22, 2017 | Ethiopia(away) | 0-3 | African Nations Championship |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 10, 2019 | Angola(away) | 1-2 | World Cup - Qualification Africa |
| Sep 6, 2019 | Angola(home) | 0-1 | World Cup - Qualification Africa |
| Jun 12, 2019 | Morocco(away) | 1-0 | Friendlies |
| Mar 22, 2019 | Algeria(away) | 1-1 | Africa Cup of Nations |
| Nov 17, 2018 | Benin(home) | 3-1 | Africa Cup of Nations |
How many goals should we expect?
Djibouti score 0.6 and concede 3.0 goals per match over their last 15; Gambia score 0.9 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Djibouti | 0.6 | 3.0 | 2 | 4/15 | 10/15 |
| Gambia | 0.9 | 1.1 | 3 | 8/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Gambia | 6 | 2 | 2 | 2 | 6 | 6 | 8 |
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