Azam vs JKT Tanzania: result 2-2 and analysis
Ligi kuu BaraRegular Season - 12Kick-off on December 1, 2019 at 01:00 PM (UTC)Chamazi Stadium, Mbagala
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What was the result of Azam vs JKT Tanzania?
Azam and JKT Tanzania drew 2-2 on December 1, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Azam have 9 wins, 1 draw and 5 defeats; JKT Tanzania have 5, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 26, 2019 | Alliance(away) | 5-0 | Ligi kuu Bara |
| Nov 23, 2019 | Mbao(away) | 1-0 | Ligi kuu Bara |
| Nov 8, 2019 | Biashara United(home) | 2-1 | Ligi kuu Bara |
| Nov 4, 2019 | Kagera Sugar(home) | 0-0 | Ligi kuu Bara |
| Oct 27, 2019 | Ruvu Shooting(away) | 0-1 | Ligi kuu Bara |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 26, 2019 | Ruvu Shooting(home) | 2-1 | Ligi kuu Bara |
| Nov 22, 2019 | Young Africans(away) | 2-3 | Ligi kuu Bara |
| Nov 3, 2019 | Tanzania Prisons(home) | 0-1 | Ligi kuu Bara |
| Oct 30, 2019 | Singida United(away) | 2-1 | Ligi kuu Bara |
| Oct 27, 2019 | Mwadui(away) | 2-2 | Ligi kuu Bara |
How many goals should we expect?
Azam score 1.4 and concede 0.6 goals per match over their last 15; JKT Tanzania score 1.1 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Azam | 1.4 | 0.6 | 6 | 4/15 | 5/15 |
| JKT Tanzania | 1.1 | 1.0 | 5 | 5/12 | 5/12 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Azam sit 3rd in Ligi kuu Bara (17 points from 8 matches) and JKT Tanzania sit 5th (13 points from 8 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Azam | 8 | 5 | 2 | 1 | 13 | 7 | 17 |
| 5 | JKT Tanzania | 8 | 4 | 1 | 3 | 11 | 12 | 13 |
A question about Azam vs JKT Tanzania?
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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