Shabana vs Mara Sugar: result 3-2 and analysis
Super LeagueRegular Season - 25Kick-off on April 30, 2023 at 11:00 AM (UTC)Gusii Stadium, Kisii
Full time
What was the result of Shabana vs Mara Sugar?
Shabana won 3-2 on April 30, 2023.
Goalscorers
- 16′?Shabana
- 45′?Mara Sugar
- 50′?Mara Sugar
- 67′?Shabana
- 81′?Shabana
What is the recent form of both teams?
Over their last 15 matches in all competitions, Shabana have 9 wins, 2 draws and 4 defeats; Mara Sugar have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 24, 2023 | Vihiga United FC(away) | 6-0 | Super League |
| Apr 20, 2023 | Mombasa Elite(home) | 3-1 | Super League |
| Apr 14, 2023 | Assad(away) | 1-3 | Super League |
| Apr 9, 2023 | Silibwet(home) | 0-0 | Super League |
| Apr 2, 2023 | Kajiado(away) | 3-0 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 23, 2023 | Kibera Black Stars(home) | 1-0 | Super League |
| Apr 14, 2023 | Coastal Heroes(home) | 3-1 | Super League |
| Apr 1, 2023 | Naivas(home) | 0-0 | Super League |
| Mar 26, 2023 | Mwatate United(home) | 3-1 | Super League |
| Mar 15, 2023 | Vihiga United FC(away) | 1-1 | Super League |
What does the head-to-head say?
Across the last 3 meetings: 1 Shabana win(s), 1 draw(s), 1 Mara Sugar win(s).
| Date | Score | Competition |
|---|---|---|
| Jan 7, 2023 | Mara Sugar 0-1 Shabana | Super League |
| May 22, 2022 | Shabana 1-2 Mara Sugar | Super League |
| Nov 7, 2021 | Mara Sugar 0-0 Shabana | Super League |
How many goals should we expect?
Shabana score 1.7 and concede 0.6 goals per match over their last 15; Mara Sugar score 1.2 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Shabana | 1.7 | 0.6 | 8 | 4/15 | 7/15 |
| Mara Sugar | 1.2 | 1.1 | 6 | 7/15 | 7/15 |
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