CS Sfaxien vs US Ben Guerdane: result 1-0 and analysis
Ligue 1Regular Season - 9Kick-off on December 16, 2015 at 01:00 PM (UTC)Stade Taïeb Mhiri, Safāqis
Full time
What was the result of CS Sfaxien vs US Ben Guerdane?
CS Sfaxien won 1-0 on December 16, 2015.
Goalscorers
- 26′A. MaâloulCS Sfaxien
What is the recent form of both teams?
Over their last 15 matches in all competitions, CS Sfaxien have 8 wins, 5 draws and 2 defeats; US Ben Guerdane have 3, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 20, 2015 | JS Kairouanaise(away) | 2-2 | Ligue 1 |
| Nov 7, 2015 | ES Metlaoui(home) | 3-1 | Ligue 1 |
| Nov 1, 2015 | EO Sidi Bouzid(away) | 1-0 | Ligue 1 |
| Oct 14, 2015 | Kosovo U19(home) | 3-0 | Ligue 1 |
| Oct 3, 2015 | Stade Tunisien(away) | 1-0 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 20, 2015 | ES Metlaoui(away) | 1-0 | Ligue 1 |
| Nov 8, 2015 | Kosovo U19(home) | 0-0 | Ligue 1 |
| Oct 31, 2015 | EGS Gafsa(away) | 0-0 | Ligue 1 |
| Oct 14, 2015 | Stade Gabesien(home) | 1-0 | Ligue 1 |
| Oct 3, 2015 | ES Zarzis(away) | 1-2 | Ligue 1 |
How many goals should we expect?
CS Sfaxien score 1.2 and concede 0.6 goals per match over their last 15; US Ben Guerdane score 0.6 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| CS Sfaxien | 1.2 | 0.6 | 8 | 5/15 | 5/15 |
| US Ben Guerdane | 0.6 | 1.0 | 5 | 1/8 | 2/8 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
CS Sfaxien sit 6th in Ligue 1 (8 points from 5 matches) and US Ben Guerdane sit 3rd (11 points from 5 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | US Ben Guerdane | 5 | 3 | 2 | 0 | 9 | 6 | 11 |
| 6 | CS Sfaxien | 5 | 2 | 2 | 1 | 6 | 4 | 8 |
A question about CS Sfaxien vs US Ben Guerdane?
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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