Azam vs Ndanda: result 1-0 and analysis
Ligi kuu BaraRegular Season - 21Kick-off on February 5, 2017 at 04:00 PM (UTC)Chamazi Stadium, Mbagala
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What was the result of Azam vs Ndanda?
Azam won 1-0 on February 5, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Azam have 6 wins, 6 draws and 3 defeats; Ndanda have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 28, 2017 | Simba(away) | 1-0 | Ligi kuu Bara |
| Jan 18, 2017 | Mbeya City(home) | 0-0 | Ligi kuu Bara |
| Dec 29, 2016 | Tanzania Prisons(home) | 1-0 | Ligi kuu Bara |
| Dec 24, 2016 | Maji Maji(away) | 1-1 | Ligi kuu Bara |
| Dec 18, 2016 | African Lyon(away) | 0-0 | Ligi kuu Bara |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 28, 2017 | Maji Maji(home) | 0-1 | Ligi kuu Bara |
| Jan 14, 2017 | Kagera Sugar(away) | 0-2 | Ligi kuu Bara |
| Dec 28, 2016 | Young Africans(away) | 0-4 | Ligi kuu Bara |
| Dec 24, 2016 | Mtibwa Sugar(home) | 0-2 | Ligi kuu Bara |
| Dec 18, 2016 | Simba(home) | 0-2 | Ligi kuu Bara |
What does the head-to-head say?
Across the last 3 meetings: 1 Azam win, 1 draw, 1 Ndanda win.
| Date | Score | Competition |
|---|---|---|
| Sep 24, 2016 | Ndanda 2-1 Azam | Ligi kuu Bara |
| Apr 6, 2016 | Azam 2-2 Ndanda | Ligi kuu Bara |
| Oct 22, 2015 | Ndanda 0-1 Azam | Ligi kuu Bara |
How many goals should we expect?
Azam score 1.1 and concede 0.8 goals per match over their last 15; Ndanda score 0.6 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Azam | 1.1 | 0.8 | 7 | 7/15 | 5/15 |
| Ndanda | 0.6 | 1.4 | 2 | 5/15 | 4/15 |
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