Toto Africans vs Azam: result 0-1 and analysis
Ligi kuu BaraRegular Season - 14Kick-off on November 2, 2016 at 01:00 PM (UTC)CCM Kirumba Stadium, Mwanza
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What was the result of Toto Africans vs Azam?
Azam won 0-1 on November 2, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Toto Africans have 3 wins, 2 draws and 10 defeats; Azam have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 29, 2016 | Mtibwa Sugar(home) | 3-2 | Ligi kuu Bara |
| Oct 23, 2016 | Simba(away) | 0-3 | Ligi kuu Bara |
| Oct 19, 2016 | Young Africans(home) | 0-2 | Ligi kuu Bara |
| Oct 15, 2016 | Maji Maji(home) | 1-2 | Ligi kuu Bara |
| Oct 12, 2016 | Mbao(away) | 1-3 | Ligi kuu Bara |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 28, 2016 | Kagera Sugar(away) | 3-2 | Ligi kuu Bara |
| Oct 22, 2016 | Ruvu Stars(home) | 1-0 | Ligi kuu Bara |
| Oct 19, 2016 | Mtibwa Sugar(home) | 1-1 | Ligi kuu Bara |
| Oct 16, 2016 | Young Africans(home) | 0-0 | Ligi kuu Bara |
| Oct 12, 2016 | Stand United(away) | 0-1 | Ligi kuu Bara |
What does the head-to-head say?
Across the last 2 meetings: 0 Toto Africans wins, 1 draw, 1 Azam win.
| Date | Score | Competition |
|---|---|---|
| Apr 3, 2016 | Toto Africans 1-1 Azam | Ligi kuu Bara |
| Nov 1, 2015 | Azam 5-0 Toto Africans | Ligi kuu Bara |
How many goals should we expect?
Toto Africans score 0.5 and concede 1.2 goals per match over their last 15; Azam score 1.3 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Toto Africans | 0.5 | 1.2 | 4 | 3/15 | 4/15 |
| Azam | 1.3 | 0.9 | 4 | 9/15 | 7/15 |
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 Toto Africans vs Azam?
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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