Ma'an vs Al Faisaly: result 2-3 and analysis
LeagueRegular Season - 21Kick-off on January 11, 2021 at 04:30 PM (UTC)King Abdullah International Stadium, Amman
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What was the result of Ma'an vs Al Faisaly?
Al Faisaly won 2-3 on January 11, 2021.
Goalscorers
- 5′?Al Faisaly
- 23′?Al Faisaly
- 29′?Al Faisaly
- 79′?Ma'an
- 90′?Ma'an
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ma'an have 2 wins, 9 draws and 4 defeats; Al Faisaly have 3, 6 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 5, 2021 | Al Sareeh(away) | 3-0 | League |
| Dec 31, 2020 | Al Jazeera(home) | 1-2 | League |
| Dec 23, 2020 | Sahab(away) | 0-0 | League |
| Dec 17, 2020 | Al Hussein(home) | 0-0 | League |
| Dec 11, 2020 | Shabab Al Ordon(away) | 0-0 | League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 6, 2021 | Al Salt(home) | 1-2 | League |
| Dec 31, 2020 | Al Ahli(away) | 3-3 | League |
| Dec 24, 2020 | Aqaba(home) | 2-2 | League |
| Dec 19, 2020 | Al Sareeh(away) | 1-1 | League |
| Dec 12, 2020 | Al Jazeera(away) | 1-2 | League |
What does the head-to-head say?
In the last meeting: 0 Ma'an wins, 1 draw, 0 Al Faisaly wins.
| Date | Score | Competition |
|---|---|---|
| Oct 4, 2020 | Al Faisaly 0-0 Ma'an | League |
How many goals should we expect?
Ma'an score 0.7 and concede 0.8 goals per match over their last 15; Al Faisaly score 1.1 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ma'an | 0.7 | 0.8 | 8 | 5/15 | 5/15 |
| Al Faisaly | 1.1 | 1.4 | 4 | 9/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 1 | Al Faisaly | 4 | 3 | 1 | 0 | 7 | 0 | 10 |
A question about Ma'an vs Al Faisaly?
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