Ihefu vs Young Africans: result 0-3 and analysis
Ligi kuu BaraRegular Season - 15Kick-off on December 23, 2020 at 12:00 PM (UTC)Sokoine Stadium, Mbeya
Full time
What was the result of Ihefu vs Young Africans?
Young Africans won 0-3 on December 23, 2020.
Goalscorers
- 12′Deus KasekeYoung Africans
- 49′?Young Africans
- 60′?Young Africans
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ihefu have 3 wins, 4 draws and 8 defeats; Young Africans have 12, 3 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 19, 2020 | KMC(home) | 1-0 | Ligi kuu Bara |
| Dec 14, 2020 | Kagera Sugar(home) | 2-1 | Ligi kuu Bara |
| Dec 6, 2020 | JKT Tanzania(home) | 1-1 | Ligi kuu Bara |
| Nov 28, 2020 | Dodoma Jiji(away) | 0-3 | Ligi kuu Bara |
| Nov 24, 2020 | Coastal Union(away) | 0-1 | Ligi kuu Bara |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 19, 2020 | Dodoma Jiji(home) | 3-1 | Ligi kuu Bara |
| Dec 12, 2020 | Mwadui(away) | 5-0 | Ligi kuu Bara |
| Dec 6, 2020 | Ruvu Shooting(home) | 2-1 | Ligi kuu Bara |
| Nov 28, 2020 | JKT Tanzania(home) | 1-0 | Ligi kuu Bara |
| Nov 25, 2020 | Azam(away) | 1-0 | Ligi kuu Bara |
How many goals should we expect?
Ihefu score 0.4 and concede 1.1 goals per match over their last 15; Young Africans score 1.6 and concede 0.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ihefu | 0.4 | 1.1 | 4 | 3/15 | 2/15 |
| Young Africans | 1.6 | 0.3 | 10 | 5/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Young Africans | 10 | 8 | 1 | 1 | 23 | 5 | 25 |
A question about Ihefu vs Young 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