US Ben Guerdane vs AS Gabes: result 2-0 and analysis
Ligue 1Regular Season - 12Kick-off on November 30, 2017 at 01:00 PM (UTC)Stade de Ben Guerdane, Ben Gardane
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What was the result of US Ben Guerdane vs AS Gabes?
US Ben Guerdane won 2-0 on November 30, 2017.
Goalscorers
- 38′Hamza Ben HassineUS Ben Guerdane
- 82′L. JaziriUS Ben Guerdane
What is the recent form of both teams?
Over their last 15 matches in all competitions, US Ben Guerdane have 0 wins, 2 draws and 13 defeats; AS Gabes 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 |
|---|---|---|---|
| Nov 22, 2017 | CS Sfaxien(home) | 0-1 | Ligue 1 |
| Nov 17, 2017 | Club Africain(away) | 1-2 | Ligue 1 |
| Nov 5, 2017 | US Monastirienne(home) | 0-1 | Ligue 1 |
| Oct 29, 2017 | Stade Gabesien(away) | 0-1 | Ligue 1 |
| Oct 22, 2017 | JS Kairouanaise(home) | 0-3 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 21, 2017 | US Monastirienne(home) | 0-2 | Ligue 1 |
| Nov 16, 2017 | Stade Tunisien(away) | 1-1 | Ligue 1 |
| Nov 5, 2017 | JS Kairouanaise(home) | 2-0 | Ligue 1 |
| Oct 21, 2017 | ES Metlaoui(home) | 5-1 | Ligue 1 |
| Oct 15, 2017 | Stade Gabesien(away) | 1-1 | Ligue 1 |
How many goals should we expect?
US Ben Guerdane score 0.3 and concede 1.6 goals per match over their last 15; AS Gabes score 1.1 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| US Ben Guerdane | 0.3 | 1.6 | 2 | 3/15 | 5/15 |
| AS Gabes | 1.1 | 0.9 | 6 | 4/15 | 4/15 |
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 | US Ben Guerdane | 5 | 3 | 2 | 0 | 9 | 6 | 11 |
A question about US Ben Guerdane vs AS Gabes?
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