Wakiso Giants vs Mbarara City: result 2-1 and analysis
Premier LeagueMatchday 7Kick-off on October 5, 2019 at 01:00 PM (UTC)Kabaka Kyabaggu Sports Stadium, Wakiso
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What was the result of Wakiso Giants vs Mbarara City?
Wakiso Giants won 2-1 on October 5, 2019.
What is the recent form of both teams?
Over their last 6 matches in all competitions, Wakiso Giants have 2 wins, 1 draw and 3 defeats; Mbarara City 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 2, 2019 | Onduparaka(away) | 0-1 | Premier League |
| Sep 14, 2019 | BUL(home) | 0-1 | Premier League |
| Sep 11, 2019 | Bright Stars(away) | 1-1 | Premier League |
| Sep 6, 2019 | Tooro United(home) | 1-0 | Premier League |
| Sep 3, 2019 | URA(home) | 3-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 1, 2019 | Busoga United(home) | 2-1 | Premier League |
| Sep 14, 2019 | Vipers(away) | 2-2 | Premier League |
| Sep 10, 2019 | Express(home) | 2-3 | Premier League |
| Sep 7, 2019 | Police(away) | 0-0 | Premier League |
| Sep 4, 2019 | SC Villa(away) | 1-3 | Premier League |
How many goals should we expect?
Wakiso Giants score 0.8 and concede 0.8 goals per match over their last 6; Mbarara City score 1.1 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Wakiso Giants | 0.8 | 0.8 | 1 | 2/6 | 1/6 |
| Mbarara City | 1.1 | 1.2 | 7 | 8/15 | 9/15 |
Over the last 6 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Mbarara City | 9 | 2 | 2 | 5 | 5 | 10 | 8 |
A question about Wakiso Giants vs Mbarara City?
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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