Al Minaa Basra vs Al Diwaniya: result 2-0 and analysis
Iraqi LeagueMatchday 17Kick-off on February 4, 2021 at 02:30 PM (UTC)Al Faihaa Stadium, Basra
Full time
What was the result of Al Minaa Basra vs Al Diwaniya?
Al Minaa Basra won 2-0 on February 4, 2021.
Goalscorers
- 10′Junior MapayAl Minaa Basra
- 33′Hussain YounesAl Minaa Basra
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al Minaa Basra have 4 wins, 4 draws and 7 defeats; Al Diwaniya have 2, 10 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 31, 2021 | Al Talaba(home) | 1-0 | Iraqi League |
| Jan 21, 2021 | Al-Qasim(away) | 2-1 | Iraqi League |
| Jan 16, 2021 | Naft(home) | 0-1 | Iraqi League |
| Jan 7, 2021 | Zakho(away) | 1-2 | Iraqi League |
| Jan 2, 2021 | Al Shorta(away) | 2-4 | Iraqi League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 30, 2021 | Al-Qasim(away) | 0-0 | Iraqi League |
| Jan 21, 2021 | Zakho(home) | 0-0 | Iraqi League |
| Jan 16, 2021 | Baghdad(away) | 1-1 | Iraqi League |
| Jan 6, 2021 | Al Zawra'a(away) | 0-3 | Iraqi League |
| Jan 2, 2021 | Alsinaat Al Kahrabaiya(home) | 2-2 | Iraqi League |
How many goals should we expect?
Al Minaa Basra score 0.9 and concede 1.3 goals per match over their last 15; Al Diwaniya score 0.6 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Minaa Basra | 0.9 | 1.3 | 4 | 7/15 | 7/15 |
| Al Diwaniya | 0.6 | 0.8 | 7 | 5/15 | 2/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Al Minaa Basra | 13 | 4 | 5 | 4 | 12 | 13 | 17 |
A question about Al Minaa Basra vs Al Diwaniya?
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