Mtibwa Sugar vs Mwadui: result 4-1 and analysis
Ligi kuu BaraRegular Season - 10Kick-off on October 31, 2015 at 01:00 PM (UTC)Manungu Stadium, Turiani
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What was the result of Mtibwa Sugar vs Mwadui?
Mtibwa Sugar won 4-1 on October 31, 2015.
What is the recent form of both teams?
Over their last 8 matches in all competitions, Mtibwa Sugar have 6 wins, 1 draw and 1 defeat; Mwadui have 4, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 28, 2015 | Kagera Sugar(home) | 1-0 | Ligi kuu Bara |
| Oct 22, 2015 | Ruvu Stars(away) | 0-0 | Ligi kuu Bara |
| Oct 17, 2015 | Coastal Union(away) | 1-0 | Ligi kuu Bara |
| Sep 30, 2015 | Young Africans(home) | 0-2 | Ligi kuu Bara |
| Sep 26, 2015 | Maji Maji(home) | 1-0 | Ligi kuu Bara |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 28, 2015 | Young Africans(home) | 2-2 | Ligi kuu Bara |
| Oct 22, 2015 | JKT Mgambo(home) | 3-1 | Ligi kuu Bara |
| Oct 18, 2015 | Ruvu Stars(home) | 2-1 | Ligi kuu Bara |
| Oct 3, 2015 | Maji Maji(away) | 1-0 | Ligi kuu Bara |
| Sep 30, 2015 | Tanzania Prisons(away) | 0-0 | Ligi kuu Bara |
How many goals should we expect?
Mtibwa Sugar score 1.0 and concede 0.5 goals per match over their last 8; Mwadui score 1.1 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mtibwa Sugar | 1.0 | 0.5 | 5 | 2/8 | 2/8 |
| Mwadui | 1.1 | 0.7 | 4 | 3/9 | 3/9 |
Over the last 8 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 Mtibwa Sugar vs Mwadui?
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