Wakiso Giants vs NEC: result 1-0 and analysis
Premier LeagueRegular Season - 22Kick-off on March 29, 2024 at 01:00 PM (UTC)Kabaka Kyabaggu Sports Stadium, Wakiso
Full time
What was the result of Wakiso Giants vs NEC?
Wakiso Giants won 1-0 on March 29, 2024.
Goalscorers
- 80′?Wakiso Giants
What is the recent form of both teams?
Over their last 15 matches in all competitions, Wakiso Giants have 5 wins, 4 draws and 6 defeats; NEC have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 13, 2024 | Express(away) | 3-2 | Premier League |
| Mar 10, 2024 | Vipers(home) | 0-4 | Premier League |
| Feb 27, 2024 | Kitara(away) | 0-1 | Premier League |
| Feb 13, 2024 | URA(home) | 1-0 | Premier League |
| Feb 8, 2024 | Maroons(away) | 0-0 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 13, 2024 | Maroons(home) | 2-1 | Premier League |
| Mar 9, 2024 | Gaddafi(away) | 1-0 | Premier League |
| Feb 28, 2024 | KCCA(home) | 0-3 | Premier League |
| Feb 13, 2024 | UPDF(away) | 2-2 | Premier League |
| Feb 9, 2024 | Mbarara City(home) | 2-0 | Premier League |
What does the head-to-head say?
In the last meeting: 0 Wakiso Giants wins, 1 draw, 0 NEC wins.
| Date | Score | Competition |
|---|---|---|
| Nov 25, 2023 | NEC 1-1 Wakiso Giants | Premier League |
How many goals should we expect?
Wakiso Giants score 0.9 and concede 1.2 goals per match over their last 15; NEC score 1.3 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Wakiso Giants | 0.9 | 1.2 | 5 | 5/15 | 7/15 |
| NEC | 1.3 | 1.4 | 5 | 8/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 2 | NEC | 6 | 4 | 2 | 0 | 11 | 2 | 14 |
A question about Wakiso Giants vs NEC?
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