Stade Gabesien vs ES Sahel: result 1-6 and analysis
Ligue 1Regular Season - 7Kick-off on December 22, 2012 at 01:00 PM (UTC)Stade de Zrig, Gabès
Full time
What was the result of Stade Gabesien vs ES Sahel?
ES Sahel won 1-6 on December 22, 2012.
Goalscorers
- 7′L. JaziriES Sahel
- 25′D. MichailouES Sahel
- 38′K. YahiaES Sahel
- 57′D. MichailouES Sahel
- 73′L. JaziriES Sahel
- 81′Fakhreddine GuelbiStade Gabesien (pen.)
- 86′K. YahiaES Sahel
What is the recent form of both teams?
Over their last 6 matches in all competitions, Stade Gabesien have 2 wins, 4 draws and 0 defeats; ES Sahel have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 16, 2012 | ES Hammam-Sousse(away) | 1-1 | Ligue 1 |
| Dec 9, 2012 | US Monastirienne(home) | 1-1 | Ligue 1 |
| Dec 2, 2012 | CS Sfaxien(away) | 1-1 | Ligue 1 |
| Nov 24, 2012 | Stade Tunisien(home) | 1-0 | Ligue 1 |
| Nov 18, 2012 | CS Hammam-Lif(away) | 1-1 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 16, 2012 | US Monastirienne(away) | 1-4 | Ligue 1 |
| Dec 9, 2012 | Stade Tunisien(home) | 2-1 | Ligue 1 |
| Dec 2, 2012 | EGS Gafsa(away) | 0-0 | Ligue 1 |
| Nov 25, 2012 | ES Hammam-Sousse(home) | 5-1 | Ligue 1 |
| Nov 18, 2012 | CS Sfaxien(away) | 1-1 | Ligue 1 |
How many goals should we expect?
Stade Gabesien score 1.2 and concede 0.8 goals per match over their last 6; ES Sahel score 1.3 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Stade Gabesien | 1.2 | 0.8 | 1 | 5/6 | 1/6 |
| ES Sahel | 1.3 | 0.9 | 6 | 7/15 | 5/15 |
Over the last 6 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | ES Sahel | 6 | 2 | 1 | 3 | 7 | 8 | 7 |
A question about Stade Gabesien vs ES Sahel?
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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