Azam vs JKT Tanzania: result 1-1 and analysis
Ligi kuu BaraRegular Season - 8Kick-off on October 30, 2020 at 04:00 PM (UTC)Chamazi Stadium, Mbagala
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What was the result of Azam vs JKT Tanzania?
Azam and JKT Tanzania drew 1-1 on October 30, 2020.
Goalscorers
- 43′?JKT Tanzania
- 76′S. AbubakarAzam
What is the recent form of both teams?
Over their last 15 matches in all competitions, Azam have 10 wins, 3 draws and 2 defeats; JKT Tanzania 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 |
|---|---|---|---|
| Oct 26, 2020 | Mtibwa Sugar(away) | 0-1 | Ligi kuu Bara |
| Oct 20, 2020 | Ihefu(away) | 2-0 | Ligi kuu Bara |
| Oct 15, 2020 | Mwadui(home) | 3-0 | Ligi kuu Bara |
| Oct 4, 2020 | Kagera Sugar(home) | 4-2 | Ligi kuu Bara |
| Sep 26, 2020 | Tanzania Prisons(away) | 1-0 | Ligi kuu Bara |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 25, 2020 | Mwadui(away) | 6-1 | Ligi kuu Bara |
| Oct 19, 2020 | Tanzania Prisons(home) | 1-1 | Ligi kuu Bara |
| Oct 14, 2020 | Ruvu Shooting(home) | 0-1 | Ligi kuu Bara |
| Oct 4, 2020 | Simba(home) | 0-4 | Ligi kuu Bara |
| Sep 28, 2020 | Coastal Union(away) | 0-1 | Ligi kuu Bara |
What does the head-to-head say?
Across the last 2 meetings: 1 Azam win, 1 draw, 0 JKT Tanzania wins.
| Date | Score | Competition |
|---|---|---|
| Feb 29, 2020 | JKT Tanzania 0-1 Azam | Ligi kuu Bara |
| Dec 1, 2019 | Azam 2-2 JKT Tanzania | Ligi kuu Bara |
How many goals should we expect?
Azam score 1.8 and concede 0.5 goals per match over their last 15; JKT Tanzania score 0.9 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Azam | 1.8 | 0.5 | 9 | 4/15 | 4/15 |
| JKT Tanzania | 0.9 | 1.1 | 3 | 6/15 | 2/15 |
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