Young Africans vs JKT Tanzania: result 3-2 and analysis
Ligi kuu BaraRegular Season - 11Kick-off on November 22, 2019 at 07:00 PM (UTC)Benjamin Mkapa National Stadium, Dar-es-Salaam
Full time
What was the result of Young Africans vs JKT Tanzania?
Young Africans won 3-2 on November 22, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Young Africans have 5 wins, 4 draws and 6 defeats; JKT Tanzania have 4, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 8, 2019 | Ndanda(away) | 1-0 | Ligi kuu Bara |
| Nov 3, 2019 | Pyramids FC(away) | 0-3 | CAF Confederation Cup |
| Oct 27, 2019 | Pyramids FC(home) | 1-2 | CAF Confederation Cup |
| Oct 22, 2019 | Mbao(away) | 1-0 | Ligi kuu Bara |
| Oct 6, 2019 | Coastal Union(home) | 1-0 | Ligi kuu Bara |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2019 | Tanzania Prisons(home) | 0-1 | Ligi kuu Bara |
| Oct 30, 2019 | Singida United(away) | 2-1 | Ligi kuu Bara |
| Oct 27, 2019 | Mwadui(away) | 2-2 | Ligi kuu Bara |
| Oct 22, 2019 | KMC(home) | 0-0 | Ligi kuu Bara |
| Sep 29, 2019 | Kagera Sugar(away) | 1-0 | Ligi kuu Bara |
How many goals should we expect?
Young Africans score 0.9 and concede 1.1 goals per match over their last 15; JKT Tanzania score 0.9 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Young Africans | 0.9 | 1.1 | 5 | 6/15 | 4/15 |
| JKT Tanzania | 0.9 | 0.8 | 5 | 3/10 | 3/10 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Young Africans sit 3rd in Ligi kuu Bara (6 points from 2 matches) and JKT Tanzania sit 13th (1 points from 2 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Young Africans | 2 | 2 | 0 | 0 | 7 | 2 | 6 |
| 13 | JKT Tanzania | 2 | 0 | 1 | 1 | 1 | 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