URA vs Wakiso Giants: result 0-0 and analysis
Premier LeagueRegular Season - 8Kick-off on February 20, 2021 at 01:00 PM (UTC)Ndejje Uni - Luwero, Luwero
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What was the result of URA vs Wakiso Giants?
URA and Wakiso Giants drew 0-0 on February 20, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, URA have 8 wins, 4 draws and 3 defeats; Wakiso Giants have 3, 10 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 17, 2021 | MYDA(away) | 3-2 | Premier League |
| Feb 14, 2021 | Express(home) | 0-1 | Premier League |
| Dec 18, 2020 | KCCA(away) | 2-1 | Premier League |
| Dec 15, 2020 | BUL(away) | 2-0 | Premier League |
| Dec 12, 2020 | SC Villa(home) | 2-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 17, 2021 | SC Villa(home) | 2-2 | Premier League |
| Feb 12, 2021 | Mbarara City(away) | 1-0 | Premier League |
| Dec 18, 2020 | Bright Stars(home) | 2-2 | Premier League |
| Dec 15, 2020 | Onduparaka(away) | 1-1 | Premier League |
| Dec 12, 2020 | Vipers(home) | 1-1 | Premier League |
What does the head-to-head say?
In the last meeting: 0 URA wins, 0 draws, 1 Wakiso Giants win.
| Date | Score | Competition |
|---|---|---|
| Sep 3, 2019 | Wakiso Giants 3-1 URA | Premier League |
How many goals should we expect?
URA score 1.4 and concede 1.1 goals per match over their last 15; Wakiso Giants score 1.0 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| URA | 1.4 | 1.1 | 3 | 10/15 | 8/15 |
| Wakiso Giants | 1.0 | 0.9 | 5 | 9/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | URA | 8 | 3 | 1 | 4 | 7 | 10 | 10 |
A question about URA vs Wakiso Giants?
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