Azam vs JKT Mgambo: result 1-1 and analysis
Ligi kuu BaraRegular Season - 30Kick-off on May 21, 2016 at 01:00 PM (UTC)Chamazi Stadium, Mbagala
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What was the result of Azam vs JKT Mgambo?
Azam and JKT Mgambo drew 1-1 on May 21, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Azam have 8 wins, 6 draws and 1 defeat; JKT Mgambo have 2, 5 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 15, 2016 | African Sports(away) | 2-1 | Ligi kuu Bara |
| May 7, 2016 | Kagera Sugar(away) | 2-1 | Ligi kuu Bara |
| May 4, 2016 | Ruvu Stars(home) | 2-2 | Ligi kuu Bara |
| May 1, 2016 | Simba(away) | 0-0 | Ligi kuu Bara |
| Apr 27, 2016 | Maji Maji(home) | 2-0 | Ligi kuu Bara |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 14, 2016 | Ruvu Stars(home) | 1-0 | Ligi kuu Bara |
| May 7, 2016 | Mtibwa Sugar(home) | 1-1 | Ligi kuu Bara |
| Apr 27, 2016 | Young Africans(away) | 1-2 | Ligi kuu Bara |
| Apr 10, 2016 | Mbeya City(home) | 0-1 | Ligi kuu Bara |
| Apr 3, 2016 | Stand United(away) | 0-2 | Ligi kuu Bara |
What does the head-to-head say?
In the last meeting: 1 Azam win, 0 draws, 0 JKT Mgambo wins.
| Date | Score | Competition |
|---|---|---|
| Jan 20, 2016 | JKT Mgambo 1-2 Azam | Ligi kuu Bara |
How many goals should we expect?
Azam score 1.4 and concede 0.7 goals per match over their last 15; JKT Mgambo score 0.7 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Azam | 1.4 | 0.7 | 7 | 7/15 | 7/15 |
| JKT Mgambo | 0.7 | 1.4 | 1 | 9/15 | 4/15 |
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 JKT Mgambo?
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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