Young Africans vs Toto Africans: result 4-1 and analysis
Ligi kuu BaraMatchday 8Kick-off on October 21, 2015 at 01:30 PM (UTC)Benjamin Mkapa National Stadium, Dar-es-Salaam
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What was the result of Young Africans vs Toto Africans?
Young Africans won 4-1 on October 21, 2015.
What is the recent form of both teams?
Over their last 6 matches in all competitions, Young Africans have 5 wins, 1 draw and 0 defeats; Toto Africans have 2, 4 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 17, 2015 | Azam(home) | 1-1 | Ligi kuu Bara |
| Sep 30, 2015 | Mtibwa Sugar(away) | 2-0 | Ligi kuu Bara |
| Sep 26, 2015 | Simba(away) | 2-0 | Ligi kuu Bara |
| Sep 19, 2015 | Ruvu Stars(home) | 4-1 | Ligi kuu Bara |
| Sep 16, 2015 | Tanzania Prisons(home) | 3-0 | Ligi kuu Bara |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 17, 2015 | Ndanda(away) | 0-0 | Ligi kuu Bara |
| Oct 3, 2015 | Ruvu Stars(home) | 1-0 | Ligi kuu Bara |
| Oct 1, 2015 | Mbeya City(home) | 1-1 | Ligi kuu Bara |
| Sep 26, 2015 | Kagera Sugar(away) | 0-0 | Ligi kuu Bara |
| Sep 20, 2015 | Coastal Union(away) | 0-0 | Ligi kuu Bara |
How many goals should we expect?
Young Africans score 2.3 and concede 0.3 goals per match over their last 6; Toto Africans score 0.6 and concede 0.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Young Africans | 2.3 | 0.3 | 4 | 2/6 | 2/6 |
| Toto Africans | 0.6 | 0.4 | 5 | 2/7 | 1/7 |
Over the last 6 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Young Africans | 10 | 8 | 1 | 1 | 23 | 5 | 25 |
A question about Young Africans vs Toto Africans?
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