Stade Gabesien vs Olympique Béja: result 1-1 and analysis
Ligue 1Regular Season - 6Kick-off on November 24, 2013 at 01:30 PM (UTC)Stade de Zrig, Gabès
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What was the result of Stade Gabesien vs Olympique Béja?
Stade Gabesien and Olympique Béja drew 1-1 on November 24, 2013.
Goalscorers
- 54′A. HammamiStade Gabesien (pen.)
- 73′Nabil MissaouiOlympique Béja
What is the recent form of both teams?
Over their last 15 matches in all competitions, Stade Gabesien have 4 wins, 5 draws and 6 defeats; Olympique Béja have 3, 3 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 8, 2013 | CS Sfaxien(away) | 1-2 | Ligue 1 |
| Nov 3, 2013 | Club Africain(home) | 1-0 | Ligue 1 |
| Oct 6, 2013 | JS Kairouanaise(away) | 2-2 | Ligue 1 |
| Sep 29, 2013 | ES Metlaoui(home) | 2-0 | Ligue 1 |
| Sep 15, 2013 | Stade Tunisien(away) | 4-0 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 9, 2013 | LPS Tozeur(home) | 1-1 | Ligue 1 |
| Nov 3, 2013 | CS Hammam-Lif(away) | 1-2 | Ligue 1 |
| Oct 30, 2013 | CS Sfaxien(away) | 0-1 | Ligue 1 |
| Sep 29, 2013 | Club Africain(home) | 0-2 | Ligue 1 |
| Sep 15, 2013 | JS Kairouanaise(away) | 0-2 | Ligue 1 |
How many goals should we expect?
Stade Gabesien score 1.2 and concede 1.3 goals per match over their last 15; Olympique Béja score 0.7 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Stade Gabesien | 1.2 | 1.3 | 4 | 8/15 | 6/15 |
| Olympique Béja | 0.7 | 1.3 | 2 | 7/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 15 | Olympique Béja | 5 | 0 | 2 | 3 | 4 | 8 | 2 |
A question about Stade Gabesien vs Olympique Béja?
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