Belbeis vs Itesalat: result 0-0 and analysis
Second League - Group BGroup B - 13Kick-off on December 31, 2021 at 12:30 PM (UTC)
Full time
What was the result of Belbeis vs Itesalat?
Belbeis and Itesalat drew 0-0 on December 31, 2021.
Goalscorers
- 55′?Itesalat
What is the recent form of both teams?
Over their last 12 matches in all competitions, Belbeis have 2 wins, 3 draws and 7 defeats; Itesalat have 3, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 24, 2021 | Tersana(away) | 2-3 | Second League - Group B |
| Dec 17, 2021 | Olympic El Qanah(home) | 1-1 | Second League - Group B |
| Dec 10, 2021 | Suez(away) | 0-1 | Second League - Group B |
| Dec 3, 2021 | Wadi Degla(home) | 2-3 | Second League - Group B |
| Nov 19, 2021 | Bur Fouad(away) | 0-1 | Second League - Group B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 23, 2021 | Petrojet(away) | 0-1 | Second League - Group B |
| Dec 17, 2021 | Tersana(home) | 1-1 | Second League - Group B |
| Dec 10, 2021 | Olympic El Qanah(away) | 0-0 | Second League - Group B |
| Dec 4, 2021 | Suez(home) | 0-1 | Second League - Group B |
| Nov 19, 2021 | Wadi Degla(away) | 0-0 | Second League - Group B |
How many goals should we expect?
Belbeis score 1.1 and concede 1.6 goals per match over their last 12; Itesalat score 0.8 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Belbeis | 1.1 | 1.6 | 1 | 6/12 | 5/12 |
| Itesalat | 0.8 | 0.8 | 3 | 5/12 | 2/12 |
Over the last 12 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Itesalat | 30 | 14 | 7 | 9 | 43 | 31 | 49 |
A question about Belbeis vs Itesalat?
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