CA Bizertin vs EGS Gafsa: result 4-1 and analysis
Ligue 1Matchday 2Kick-off on November 20, 2011 at 01:30 PM (UTC)Stade du 15 Octobre, Banzart
Full time
What was the result of CA Bizertin vs EGS Gafsa?
CA Bizertin won 4-1 on November 20, 2011.
Goalscorers
- 28′Ahmed ZuwayCA Bizertin
- 43′Ahmed ZuwayCA Bizertin
- 48′Nour HadhriaCA Bizertin
- 83′Abdelkader DhaouEGS Gafsa (pen.)
- 90′A. RejaibiCA Bizertin
Official lineup for CA Bizertin vs EGS Gafsa
The starting elevens fielded at kick-off.
CA Bizertin
- AAhmed Zuway
- NNour Hadhria
- AA. Harrane
- YYoussouph Mbengue
- KKarim Ben Amor
- LLarbi Jabeur
- II. M'barki
- HHattene Baratli
- HH. Ben Haj Mabrouk
- HH. Mathlouthi
- FF. Ben Mustapha
EGS Gafsa
- JJerry Adriano Moreno Peres
- HHaythem Mhamdi
- AA. Kramti
- MMohamed Amine Amami
- AAbdelkader Dhaou
- HH. Boukhris
- AAnis Bacha Matar
- MM. Cissé
- LL. Nçaïbi
- AA. Zkazka
- AAbderrahmane Baâboura
What is the recent form of both teams?
In their last match in all competitions, CA Bizertin have 0 wins, 1 draw and 0 defeats; EGS Gafsa have 0, 1 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 4, 2011 | Club Africain(away) | 2-2 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 16, 2011 | ES Tunis(home) | 1-1 | Ligue 1 |
How many goals should we expect?
CA Bizertin score 2.0 and concede 2.0 goals per match in their last match; EGS Gafsa score 1.0 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| CA Bizertin | 2.0 | 2.0 | 0 | 1/1 | 1/1 |
| EGS Gafsa | 1.0 | 1.0 | 0 | 1/1 | 0/1 |
Over the last match in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | CA Bizertin | 7 | 3 | 2 | 2 | 8 | 7 | 11 |
A question about CA Bizertin vs EGS Gafsa?
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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