Young Africans vs Pamba Jiji: result 4-0 and analysis
Ligi kuu BaraRegular Season - 7Kick-off on October 3, 2024 at 03:30 PM (UTC)Azam Complex Stadium, Mbagala
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What was the result of Young Africans vs Pamba Jiji?
Young Africans won 4-0 on October 3, 2024.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Young Africans have 14 wins, 1 draws and 0 defeats; Pamba Jiji have 0, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 29, 2024 | KMC(home) | 1-0 | Ligi kuu Bara |
| Sep 25, 2024 | KenGold(away) | 1-0 | Ligi kuu Bara |
| Sep 21, 2024 | Ethiopia Nigd Bank(home) | 6-0 | CAF Champions League |
| Sep 14, 2024 | Ethiopia Nigd Bank(away) | 1-0 | CAF Champions League |
| Aug 29, 2024 | Kagera Sugar(away) | 2-0 | Ligi kuu Bara |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2024 | Coastal Union(away) | 0-2 | Ligi kuu Bara |
| Sep 21, 2024 | Mashujaa(home) | 2-2 | Ligi kuu Bara |
| Sep 17, 2024 | Singida Black Stars(home) | 0-1 | Ligi kuu Bara |
| Sep 14, 2024 | Azam(away) | 0-0 | Ligi kuu Bara |
| Aug 24, 2024 | Dodoma Jiji(home) | 0-0 | Ligi kuu Bara |
How many goals should we expect?
Young Africans score 2.5 and concede 0.1 goals per match over their last 15; Pamba Jiji score 0.3 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Young Africans | 2.5 | 0.1 | 13 | 2/15 | 7/15 |
| Pamba Jiji | 0.3 | 0.8 | 3 | 1/6 | 1/6 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Young Africans sit 2nd in Ligi kuu Bara (6 points from 2 matches) and Pamba Jiji sit 11th (1 points from 2 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Young Africans | 2 | 2 | 0 | 0 | 7 | 2 | 6 |
| 11 | Pamba Jiji | 2 | 0 | 1 | 1 | 2 | 3 | 1 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy