EM Mahdia vs EGS Gafsa: result 1-2 and analysis
Ligue 2Regular Season - 8Kick-off on December 21, 2022 at 01:00 PM (UTC)Stade Ahmed Khouaja, Mahdia
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What was the result of EM Mahdia vs EGS Gafsa?
EGS Gafsa won 1-2 on December 21, 2022.
Goalscorers
- 17′?EGS Gafsa
- 37′?EGS Gafsa (pen.)
- 65′?EM Mahdia
What is the recent form of both teams?
Over their last 15 matches in all competitions, EM Mahdia have 6 wins, 2 draws and 7 defeats; EGS Gafsa have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 11, 2022 | ES Zarzis(away) | 0-2 | Ligue 2 |
| Dec 7, 2022 | SS Sfaxien(home) | 2-1 | Ligue 2 |
| Nov 20, 2022 | M'saken(home) | 2-1 | Ligue 2 |
| Nov 13, 2022 | Moknine(away) | 1-2 | Ligue 2 |
| Nov 6, 2022 | Djerba(away) | 0-2 | Ligue 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 11, 2022 | Stade Gabesien(home) | 2-1 | Ligue 2 |
| Dec 7, 2022 | Kalaâ Sport(away) | 0-1 | Ligue 2 |
| Nov 23, 2022 | ES Zarzis(away) | 2-1 | Ligue 2 |
| Nov 13, 2022 | Sporting Ben Arous(home) | 2-0 | Ligue 2 |
| Nov 6, 2022 | Jeunesse Sportive Omrane(home) | 1-0 | Ligue 2 |
How many goals should we expect?
EM Mahdia score 0.9 and concede 1.3 goals per match over their last 15; EGS Gafsa score 1.4 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| EM Mahdia | 0.9 | 1.3 | 5 | 5/15 | 7/15 |
| EGS Gafsa | 1.4 | 0.8 | 8 | 5/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
EM Mahdia sit 4th in Ligue 2 (8 points from 4 matches) and EGS Gafsa sit 22nd (3 points from 4 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | EM Mahdia | 4 | 2 | 2 | 0 | 7 | 5 | 8 |
| 22 | EGS Gafsa | 4 | 1 | 0 | 3 | 6 | 8 | 3 |
A question about EM Mahdia vs EGS Gafsa?
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