Al Muhafaza vs Al Ittihad: result 1-4 and analysis
Premier LeagueMatchday 13Kick-off on February 2, 2018 at 12:00 PM (UTC)
Full time
What was the result of Al Muhafaza vs Al Ittihad?
Al Ittihad won 1-4 on February 2, 2018.
Goalscorers
- 20′Mohamed OmarAl Ittihad
- 29′Abdulla NajjarAl Ittihad
- 73′Mohamed OmarAl Ittihad
- 90′Wasim BawarshiAl Muhafaza
- 90′Abdulla NajjarAl Ittihad
What is the recent form of both teams?
Over their last 12 matches in all competitions, Al Muhafaza have 3 wins, 2 draws and 7 defeats; Al Ittihad have 7, 4 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 26, 2018 | Al Wahda(away) | 1-2 | Premier League |
| Dec 30, 2017 | Al Jehad(home) | 2-2 | Premier League |
| Dec 22, 2017 | Hottin(away) | 1-3 | Premier League |
| Dec 15, 2017 | Al Nawaeir(home) | 0-2 | Premier League |
| Dec 8, 2017 | Al Karama(away) | 1-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 26, 2018 | Al Shorta(home) | 2-1 | Premier League |
| Dec 29, 2017 | Al Taliya(away) | 1-0 | Premier League |
| Dec 22, 2017 | Tishreen(home) | 1-0 | Premier League |
| Dec 15, 2017 | Wathba(away) | 2-2 | Premier League |
| Dec 8, 2017 | Al Wahda(away) | 1-1 | Premier League |
How many goals should we expect?
Al Muhafaza score 1.0 and concede 1.6 goals per match over their last 12; Al Ittihad score 1.4 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Muhafaza | 1.0 | 1.6 | 1 | 7/12 | 6/12 |
| Al Ittihad | 1.4 | 0.5 | 7 | 4/12 | 4/12 |
Over the last 12 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Al Ittihad | 3 | 2 | 1 | 0 | 6 | 3 | 7 |
A question about Al Muhafaza vs Al Ittihad?
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