Gwambina vs Mtibwa Sugar: result 2-0 and analysis
Ligi kuu BaraMatchday 6Kick-off on October 15, 2020 at 01:00 PM (UTC)
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What was the result of Gwambina vs Mtibwa Sugar?
Gwambina won 2-0 on October 15, 2020.
Goalscorers
- 20′?Gwambina (pen.)
- 90′?Gwambina (pen.)
What is the recent form of both teams?
Over their last 5 matches in all competitions, Gwambina have 1 win, 1 draw and 3 defeats; Mtibwa Sugar have 4, 6 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 3, 2020 | Ihefu(home) | 2-0 | Ligi kuu Bara |
| Sep 26, 2020 | Simba(away) | 0-3 | Ligi kuu Bara |
| Sep 21, 2020 | Ruvu Shooting(away) | 0-1 | Ligi kuu Bara |
| Sep 11, 2020 | Kagera Sugar(home) | 0-0 | Ligi kuu Bara |
| Sep 6, 2020 | Biashara United(away) | 0-1 | Ligi kuu Bara |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 4, 2020 | Biashara United(away) | 0-1 | Ligi kuu Bara |
| Sep 27, 2020 | Young Africans(home) | 0-1 | Ligi kuu Bara |
| Sep 18, 2020 | Ihefu(away) | 1-0 | Ligi kuu Bara |
| Sep 12, 2020 | Simba(home) | 1-1 | Ligi kuu Bara |
| Sep 6, 2020 | Ruvu Shooting(home) | 0-0 | Ligi kuu Bara |
How many goals should we expect?
Gwambina score 0.4 and concede 1.0 goals per match over their last 5; Mtibwa Sugar score 0.7 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gwambina | 0.4 | 1.0 | 2 | 0/5 | 1/5 |
| Mtibwa Sugar | 0.7 | 0.7 | 4 | 6/15 | 2/15 |
Over the last 5 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Mtibwa Sugar | 27 | 6 | 9 | 12 | 23 | 41 | 27 |
A question about Gwambina 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