Mbao vs Mtibwa Sugar: result 5-0 and analysis
Ligi kuu BaraRegular Season - 21Kick-off on February 5, 2017 at 01:00 PM (UTC)CCM Kirumba Stadium, Mwanza
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What was the result of Mbao vs Mtibwa Sugar?
Mbao won 5-0 on February 5, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mbao have 5 wins, 4 draws and 6 defeats; Mtibwa Sugar have 5, 7 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 27, 2017 | Ruvu Shooting(home) | 2-0 | Ligi kuu Bara |
| Jan 15, 2017 | African Lyon(home) | 0-0 | Ligi kuu Bara |
| Dec 31, 2016 | Mbeya City(away) | 1-3 | Ligi kuu Bara |
| Dec 24, 2016 | Mwadui(away) | 0-1 | Ligi kuu Bara |
| Dec 18, 2016 | Stand United(home) | 1-0 | Ligi kuu Bara |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 30, 2017 | Kagera Sugar(away) | 1-2 | Ligi kuu Bara |
| Jan 18, 2017 | Simba(home) | 0-0 | Ligi kuu Bara |
| Dec 28, 2016 | Maji Maji(home) | 1-0 | Ligi kuu Bara |
| Dec 24, 2016 | Ndanda(away) | 2-0 | Ligi kuu Bara |
| Dec 17, 2016 | Ruvu Shooting(away) | 1-1 | Ligi kuu Bara |
What does the head-to-head say?
In the last meeting: 0 Mbao wins, 1 draw, 0 Mtibwa Sugar wins.
| Date | Score | Competition |
|---|---|---|
| Sep 24, 2016 | Mtibwa Sugar 1-1 Mbao | Ligi kuu Bara |
How many goals should we expect?
Mbao score 0.9 and concede 1.0 goals per match over their last 15; Mtibwa Sugar score 1.2 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mbao | 0.9 | 1.0 | 5 | 5/15 | 4/15 |
| Mtibwa Sugar | 1.2 | 1.1 | 7 | 8/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 13 | Mtibwa Sugar | 27 | 6 | 9 | 12 | 23 | 41 | 27 |
A question about Mbao vs Mtibwa Sugar?
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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