Shabana vs Nzoia Sugar: result 2-1 and analysis
FKF Premier LeagueRegular Season - 10Kick-off on November 11, 2023 at 12:00 PM (UTC)Raila Odinga Homa Bay Stadium, Homa Bay
Full time
What was the result of Shabana vs Nzoia Sugar?
Shabana won 2-1 on November 11, 2023.
Goalscorers
- 13′?Shabana
- 47′?Shabana
- 62′?Nzoia Sugar
What is the recent form of both teams?
Over their last 15 matches in all competitions, Shabana have 5 wins, 4 draws and 6 defeats; Nzoia Sugar have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 5, 2023 | Bandari(away) | 1-2 | FKF Premier League |
| Nov 1, 2023 | GOR Mahia(home) | 0-1 | FKF Premier League |
| Oct 29, 2023 | Ulinzi Stars(away) | 0-4 | FKF Premier League |
| Oct 22, 2023 | Nairobi City Stars(home) | 2-2 | FKF Premier League |
| Oct 6, 2023 | Tusker(away) | 1-0 | FKF Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 4, 2023 | Kariobangi Sharks(home) | 1-0 | FKF Premier League |
| Nov 1, 2023 | Talanta(away) | 0-0 | FKF Premier League |
| Oct 29, 2023 | AFC Leopards(home) | 0-1 | FKF Premier League |
| Oct 22, 2023 | Homeboyz(home) | 0-1 | FKF Premier League |
| Oct 6, 2023 | Posta Rangers FC(away) | 0-2 | FKF Premier League |
How many goals should we expect?
Shabana score 1.1 and concede 1.1 goals per match over their last 15; Nzoia Sugar score 0.7 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Shabana | 1.1 | 1.1 | 4 | 7/15 | 6/15 |
| Nzoia Sugar | 0.7 | 1.0 | 4 | 5/15 | 3/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Shabana | 5 | 1 | 3 | 1 | 2 | 2 | 6 |
A question about Shabana vs Nzoia Sugar?
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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