AS Gabes vs CO Medenine: result 2-0 and analysis
Ligue 1Regular Season - 5Kick-off on September 17, 2017 at 02:00 PM (UTC)Stade de Zrig, Gabès
Full time
What was the result of AS Gabes vs CO Medenine?
AS Gabes won 2-0 on September 17, 2017.
Goalscorers
- 42′Abdelaziz Ali GuechiAS Gabes
- 78′Bilel Ben BrahimAS Gabes
What is the recent form of both teams?
Over their last 15 matches in all competitions, AS Gabes have 5 wins, 5 draws and 5 defeats; CO Medenine have 1, 0 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 9, 2017 | ES Tunis(away) | 0-1 | Ligue 1 |
| Aug 25, 2017 | ES Zarzis(home) | 0-0 | Ligue 1 |
| Aug 20, 2017 | ES Sahel(away) | 0-3 | Ligue 1 |
| Aug 16, 2017 | Club Africain(away) | 1-2 | Ligue 1 |
| May 21, 2017 | US Tataouine(home) | 4-0 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 9, 2017 | CA Bizertin(home) | 1-2 | Ligue 1 |
| Aug 25, 2017 | US Ben Guerdane(away) | 3-2 | Ligue 1 |
| Aug 19, 2017 | Stade Gabesien(away) | 0-1 | Ligue 1 |
| Aug 15, 2017 | ES Tunis(home) | 0-2 | Ligue 1 |
| Oct 30, 2016 | M'saken(away) | 0-1 | Cup |
How many goals should we expect?
AS Gabes score 0.8 and concede 0.8 goals per match over their last 15; CO Medenine score 0.8 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| AS Gabes | 0.8 | 0.8 | 8 | 3/15 | 4/15 |
| CO Medenine | 0.8 | 1.6 | 0 | 2/5 | 2/5 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 16 | AS Gabes | 30 | 3 | 9 | 18 | 11 | 37 | 18 |
A question about AS Gabes vs CO Medenine?
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