Biashara United vs Simba: result 0-2 and analysis
Ligi kuu BaraRegular Season - 4Kick-off on September 29, 2019 at 01:00 PM (UTC)Karume Football Stadium, Musoma
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What was the result of Biashara United vs Simba?
Simba won 0-2 on September 29, 2019.
What is the recent form of both teams?
Over their last 5 matches in all competitions, Biashara United have 0 wins, 2 draws and 3 defeats; Simba have 9, 5 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 25, 2019 | JKT Tanzania(home) | 0-1 | Ligi kuu Bara |
| Sep 20, 2019 | Alliance(away) | 1-1 | Ligi kuu Bara |
| Sep 14, 2019 | Mbao(away) | 0-1 | Ligi kuu Bara |
| Aug 24, 2019 | Kagera Sugar(home) | 0-2 | Ligi kuu Bara |
| May 28, 2019 | Mbeya City(away) | 0-0 | Ligi kuu Bara |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 26, 2019 | Kagera Sugar(away) | 3-0 | Ligi kuu Bara |
| Sep 13, 2019 | Mtibwa Sugar(home) | 2-1 | Ligi kuu Bara |
| Aug 29, 2019 | JKT Tanzania(away) | 3-1 | Ligi kuu Bara |
| Aug 25, 2019 | Songo(home) | 1-1 | CAF Champions League |
| Aug 10, 2019 | Songo(away) | 0-0 | CAF Champions League |
How many goals should we expect?
Biashara United score 0.2 and concede 1.0 goals per match over their last 5; Simba score 1.3 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Biashara United | 0.2 | 1.0 | 1 | 1/5 | 0/5 |
| Simba | 1.3 | 0.5 | 8 | 6/15 | 4/15 |
Over the last 5 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Simba | 8 | 8 | 0 | 0 | 19 | 4 | 24 |
A question about Biashara United vs Simba?
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