URA vs Gaddafi: result 2-1 and analysis
Premier LeagueRegular Season - 17Kick-off on February 12, 2022 at 11:00 AM (UTC)Ndejje Uni - Luwero, Luwero
Full time
What was the result of URA vs Gaddafi?
URA won 2-1 on February 12, 2022.
Goalscorers
- 51′?URA
- 67′?Gaddafi
- 90′303463URA
What is the recent form of both teams?
Over their last 15 matches in all competitions, URA have 6 wins, 7 draws and 2 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 |
|---|---|---|---|
| Feb 9, 2022 | KCCA(away) | 0-1 | Premier League |
| Feb 4, 2022 | Busoga United(away) | 3-1 | Premier League |
| Feb 1, 2022 | Bright Stars(away) | 3-0 | Premier League |
| Jan 8, 2022 | KCCA(home) | 1-0 | Premier League |
| Jan 4, 2022 | Gaddafi(away) | 1-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 5, 2022 | Wakiso Giants(away) | 1-4 | Premier League |
| 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 |
What does the head-to-head say?
In the last meeting: 0 URA wins, 1 draw, 0 Gaddafi wins.
| Date | Score | Competition |
|---|---|---|
| Jan 4, 2022 | Gaddafi 1-1 URA | Premier League |
How many goals should we expect?
URA score 1.7 and concede 0.9 goals per match over their last 15; Gaddafi score 1.2 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| URA | 1.7 | 0.9 | 6 | 8/15 | 6/15 |
| Gaddafi | 1.2 | 1.3 | 4 | 10/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | URA | 4 | 1 | 0 | 3 | 3 | 7 | 3 |
A question about URA vs Gaddafi?
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