Azam vs Ihefu: result 3-0 and analysis
Ligi kuu BaraRegular Season - 21Kick-off on March 11, 2021 at 04:00 PM (UTC)Chamazi Stadium, Mbagala
Full time
What was the result of Azam vs Ihefu?
Azam won 3-0 on March 11, 2021.
Goalscorers
- 8′?Azam
- 51′?Azam
- 90′?Azam
What is the recent form of both teams?
Over their last 15 matches in all competitions, Azam have 4 wins, 8 draws and 3 defeats; Ihefu have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 6, 2021 | Mwadui(away) | 0-0 | Ligi kuu Bara |
| Mar 3, 2021 | Kagera Sugar(away) | 2-1 | Ligi kuu Bara |
| Feb 22, 2021 | Tanzania Prisons(home) | 0-0 | Ligi kuu Bara |
| Feb 18, 2021 | Mbeya City(home) | 2-1 | Ligi kuu Bara |
| Feb 11, 2021 | Coastal Union(away) | 1-2 | Ligi kuu Bara |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 8, 2021 | Biashara United(home) | 0-1 | Ligi kuu Bara |
| Mar 3, 2021 | Gwambina(home) | 1-2 | Ligi kuu Bara |
| Feb 20, 2021 | Mwadui(home) | 3-2 | Ligi kuu Bara |
| Feb 17, 2021 | Mtibwa Sugar(away) | 1-1 | Ligi kuu Bara |
| Feb 12, 2021 | Ruvu Shooting(away) | 2-0 | Ligi kuu Bara |
What does the head-to-head say?
In the last meeting: 1 Azam win, 0 draws, 0 Ihefu wins.
| Date | Score | Competition |
|---|---|---|
| Oct 20, 2020 | Ihefu 0-2 Azam | Ligi kuu Bara |
How many goals should we expect?
Azam score 1.1 and concede 0.9 goals per match over their last 15; Ihefu score 0.8 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Azam | 1.1 | 0.9 | 5 | 8/15 | 7/15 |
| Ihefu | 0.8 | 1.4 | 3 | 6/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Azam | 8 | 5 | 2 | 1 | 13 | 7 | 17 |
A question about Azam vs Ihefu?
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