Biashara United vs Mtibwa Sugar: result 0-0 and analysis
Ligi kuu BaraRegular Season - 11Kick-off on November 23, 2019 at 03:00 PM (UTC)Karume Memorial Stadium, Dar-es-Salaam
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What was the result of Biashara United vs Mtibwa Sugar?
Biashara United and Mtibwa Sugar drew 0-0 on November 23, 2019.
What is the recent form of both teams?
Over their last 11 matches in all competitions, Biashara United have 2 wins, 3 draws and 6 defeats; Mtibwa Sugar have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 8, 2019 | Azam(away) | 1-2 | Ligi kuu Bara |
| Nov 4, 2019 | KMC(away) | 1-2 | Ligi kuu Bara |
| Oct 27, 2019 | Namungo(home) | 1-0 | Ligi kuu Bara |
| Oct 23, 2019 | Tanzania Prisons(away) | 0-0 | Ligi kuu Bara |
| Oct 20, 2019 | Mbeya City(away) | 2-0 | Ligi kuu Bara |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 6, 2019 | Mwadui(home) | 1-0 | Ligi kuu Bara |
| Nov 2, 2019 | Singida United(home) | 0-0 | Ligi kuu Bara |
| Oct 30, 2019 | Coastal Union(home) | 2-1 | Ligi kuu Bara |
| Oct 26, 2019 | Polisi Tanzania(home) | 2-0 | Ligi kuu Bara |
| Oct 23, 2019 | Namungo(away) | 0-1 | Ligi kuu Bara |
How many goals should we expect?
Biashara United score 0.5 and concede 1.0 goals per match over their last 11; Mtibwa Sugar score 0.7 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Biashara United | 0.5 | 1.0 | 4 | 3/11 | 2/11 |
| Mtibwa Sugar | 0.7 | 0.8 | 8 | 5/15 | 4/15 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Mtibwa Sugar | 27 | 6 | 9 | 12 | 23 | 41 | 27 |
A question about Biashara United vs Mtibwa Sugar?
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