Wakiso Giants vs Gaddafi: result 4-1 and analysis
Premier LeagueRegular Season - 16Kick-off on February 5, 2022 at 11:00 AM (UTC)Kabaka Kyabaggu Sports Stadium, Wakiso
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What was the result of Wakiso Giants vs Gaddafi?
Wakiso Giants won 4-1 on February 5, 2022.
Goalscorers
- 12′?Wakiso Giants
- 32′?Wakiso Giants
- 41′?Wakiso Giants
- 52′?Gaddafi
- 82′?Wakiso Giants
What is the recent form of both teams?
Over their last 15 matches in all competitions, Wakiso Giants have 7 wins, 3 draws and 5 defeats; Gaddafi have 5, 6 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 7, 2022 | Gaddafi(away) | 0-1 | Premier League |
| Jan 4, 2022 | BUL(home) | 4-3 | Premier League |
| Dec 28, 2021 | URA(away) | 1-1 | Premier League |
| Dec 22, 2021 | Arua Hill(home) | 1-2 | Premier League |
| Dec 17, 2021 | Mbarara City(away) | 0-0 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 7, 2022 | Wakiso Giants(home) | 1-0 | Premier League |
| Jan 4, 2022 | URA(home) | 1-1 | Premier League |
| Dec 29, 2021 | Mbarara City(away) | 1-0 | Premier League |
| Dec 21, 2021 | Onduparaka(home) | 2-2 | Premier League |
| Dec 17, 2021 | Express(away) | 0-1 | Premier League |
What does the head-to-head say?
Across the last 1 meetings: 0 Wakiso Giants win(s), 0 draw(s), 1 Gaddafi win(s).
| Date | Score | Competition |
|---|---|---|
| Jan 7, 2022 | Gaddafi 1-0 Wakiso Giants | Premier League |
Last archived meeting: Gaddafi vs Wakiso Giants on Jan 7, 2022
How many goals should we expect?
Wakiso Giants score 1.3 and concede 1.3 goals per match over their last 15; Gaddafi 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 | 1.3 | 1.3 | 5 | 6/15 | 7/15 |
| Gaddafi | 1.1 | 1.2 | 4 | 9/15 | 6/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy