Toto Africans vs Azam: result 1-1 and analysis
Ligi kuu BaraRegular Season - 25Kick-off on April 3, 2016 at 01:00 PM (UTC)CCM Kirumba Stadium, Mwanza
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What was the result of Toto Africans vs Azam?
Toto Africans and Azam drew 1-1 on April 3, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Toto Africans have 3 wins, 4 draws and 8 defeats; Azam have 10, 4 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 24, 2016 | African Sports(away) | 2-1 | Ligi kuu Bara |
| Mar 21, 2016 | JKT Mgambo(away) | 1-2 | Ligi kuu Bara |
| Mar 9, 2016 | Ruvu Stars(away) | 0-2 | Ligi kuu Bara |
| Mar 5, 2016 | Ndanda(home) | 0-0 | Ligi kuu Bara |
| Feb 20, 2016 | Kagera Sugar(home) | 1-1 | Ligi kuu Bara |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 16, 2016 | Stand United(home) | 1-0 | Ligi kuu Bara |
| Mar 5, 2016 | Young Africans(home) | 2-2 | Ligi kuu Bara |
| Feb 24, 2016 | Tanzania Prisons(away) | 0-0 | Ligi kuu Bara |
| Feb 20, 2016 | Mbeya City(away) | 3-0 | Ligi kuu Bara |
| Feb 14, 2016 | Coastal Union(away) | 0-1 | Ligi kuu Bara |
What does the head-to-head say?
In the last meeting: 0 Toto Africans wins, 0 draws, 1 Azam win.
| Date | Score | Competition |
|---|---|---|
| Nov 1, 2015 | Azam 5-0 Toto Africans | Ligi kuu Bara |
How many goals should we expect?
Toto Africans score 1.1 and concede 1.7 goals per match over their last 15; Azam score 1.8 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Toto Africans | 1.1 | 1.7 | 1 | 9/15 | 8/15 |
| Azam | 1.8 | 0.7 | 8 | 6/15 | 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?
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