Azam vs Ndanda: result 2-2 and analysis
Ligi kuu BaraRegular Season - 23Kick-off on April 6, 2016 at 01:00 PM (UTC)Chamazi Stadium, Mbagala
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What was the result of Azam vs Ndanda?
Azam and Ndanda drew 2-2 on April 6, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Azam have 9 wins, 5 draws and 1 defeat; Ndanda have 4, 6 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 3, 2016 | Toto Africans(away) | 1-1 | Ligi kuu Bara |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 3, 2016 | Tanzania Prisons(home) | 0-0 | Ligi kuu Bara |
| Mar 19, 2016 | Stand United(away) | 1-1 | Ligi kuu Bara |
| Mar 10, 2016 | Simba(away) | 0-3 | Ligi kuu Bara |
| Mar 5, 2016 | Toto Africans(away) | 0-0 | Ligi kuu Bara |
| Feb 21, 2016 | African Sports(home) | 2-1 | Ligi kuu Bara |
What does the head-to-head say?
In the last meeting: 1 Azam win, 0 draws, 0 Ndanda wins.
| Date | Score | Competition |
|---|---|---|
| Oct 22, 2015 | Ndanda 0-1 Azam | Ligi kuu Bara |
How many goals should we expect?
Azam score 1.8 and concede 0.7 goals per match over their last 15; Ndanda 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 | 0.7 | 7 | 7/15 | 7/15 |
| Ndanda | 0.9 | 1.1 | 4 | 8/15 | 5/15 |
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 Ndanda?
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