Young Africans vs Ndanda: result 1-0 and analysis
Ligi kuu BaraRegular Season - 14Kick-off on January 17, 2016 at 01:00 PM (UTC)Benjamin Mkapa National Stadium, Dar-es-Salaam
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What was the result of Young Africans vs Ndanda?
Young Africans won 1-0 on January 17, 2016.
What is the recent form of both teams?
Over their last 13 matches in all competitions, Young Africans have 10 wins, 3 draws and 0 defeats; Ndanda have 1, 6 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 26, 2015 | Mbeya City(home) | 3-0 | Ligi kuu Bara |
| Dec 19, 2015 | Stand United(home) | 4-0 | Ligi kuu Bara |
| Dec 16, 2015 | African Sports(away) | 1-0 | Ligi kuu Bara |
| Dec 12, 2015 | JKT Mgambo(away) | 0-0 | Ligi kuu Bara |
| Oct 31, 2015 | Kagera Sugar(away) | 2-0 | Ligi kuu Bara |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 1, 2016 | Simba(home) | 0-1 | Ligi kuu Bara |
| Dec 26, 2015 | Ruvu Stars(home) | 1-3 | Ligi kuu Bara |
| Dec 19, 2015 | Mwadui(away) | 1-2 | Ligi kuu Bara |
| Dec 12, 2015 | Kagera Sugar(away) | 1-1 | Ligi kuu Bara |
| Nov 1, 2015 | Tanzania Prisons(away) | 2-2 | Ligi kuu Bara |
How many goals should we expect?
Young Africans score 2.3 and concede 0.4 goals per match over their last 13; Ndanda score 0.7 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Young Africans | 2.3 | 0.4 | 9 | 4/13 | 6/13 |
| Ndanda | 0.7 | 1.2 | 3 | 7/13 | 4/13 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Young Africans | 7 | 6 | 0 | 1 | 17 | 4 | 18 |
A question about Young Africans vs Ndanda?
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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