AS Gabes vs Bembla: result 2-0 and analysis
Ligue 2Regular Season - 14Kick-off on March 18, 2023 at 01:30 PM (UTC)Stade de Zrig, Gabès
Full time
What was the result of AS Gabes vs Bembla?
AS Gabes won 2-0 on March 18, 2023.
Goalscorers
- 19′?AS Gabes
- 54′?AS Gabes
What is the recent form of both teams?
Over their last 15 matches in all competitions, AS Gabes have 3 wins, 5 draws and 7 defeats; Bembla have 2, 8 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 12, 2023 | Jerba(away) | 0-0 | Ligue 2 |
| Mar 4, 2023 | Mohammedia(home) | 2-1 | Ligue 2 |
| Jan 27, 2023 | EM Mahdia(away) | 0-1 | Cup |
| Jan 18, 2023 | Oued Ellil(away) | 4-2 | Cup |
| Jan 7, 2023 | Radès(home) | 0-0 | Ligue 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 12, 2023 | JS Kairouanaise(home) | 0-0 | Ligue 2 |
| Mar 5, 2023 | Oued Ellil(away) | 0-3 | Ligue 2 |
| Jan 15, 2023 | Korba(home) | 0-0 | Cup |
| Jan 7, 2023 | AS Marsa(home) | 1-2 | Ligue 2 |
| Jan 3, 2023 | Rogba Tataouine(away) | 0-2 | Ligue 2 |
What does the head-to-head say?
In the last meeting: 0 AS Gabes wins, 1 draw, 0 Bembla wins.
| Date | Score | Competition |
|---|---|---|
| Nov 5, 2022 | Bembla 1-1 AS Gabes | Ligue 2 |
How many goals should we expect?
AS Gabes score 0.7 and concede 1.1 goals per match over their last 15; Bembla score 0.7 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| AS Gabes | 0.7 | 1.1 | 4 | 6/15 | 4/15 |
| Bembla | 0.7 | 1.2 | 6 | 7/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 24 | AS Gabes | 3 | 0 | 1 | 2 | 2 | 4 | 1 |
A question about AS Gabes vs Bembla?
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