Shabana vs Silibwet: result 0-0 and analysis
Super LeagueRegular Season - 21Kick-off on April 9, 2023 at 12:00 PM (UTC)Gusii Stadium, Kisii
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What was the result of Shabana vs Silibwet?
Shabana and Silibwet drew 0-0 on April 9, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Shabana have 10 wins, 2 draws and 3 defeats; Silibwet have 1, 6 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 2, 2023 | Kajiado(away) | 3-0 | Super League |
| Mar 25, 2023 | Kisumu All Stars(away) | 0-1 | Super League |
| Mar 19, 2023 | Murang'a SEAL(home) | 2-0 | Super League |
| Mar 15, 2023 | MCF(away) | 1-0 | Super League |
| Mar 10, 2023 | Darajani Gogo(home) | 3-0 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 1, 2023 | Kibera Black Stars(home) | 0-0 | Super League |
| Mar 26, 2023 | Darajani Gogo(away) | 0-2 | Super League |
| Mar 20, 2023 | Coastal Heroes(away) | 1-3 | Super League |
| Mar 10, 2023 | Naivas(away) | 0-3 | Super League |
| Feb 26, 2023 | Mwatate United(home) | 1-2 | Super League |
What does the head-to-head say?
Across the last 3 meetings: 3 Shabana wins, 0 draws, 0 Silibwet wins.
| Date | Score | Competition |
|---|---|---|
| Dec 4, 2022 | Silibwet 0-1 Shabana | Super League |
| May 8, 2022 | Shabana 1-0 Silibwet | Super League |
| Apr 3, 2022 | Silibwet 0-2 Shabana | Super League |
How many goals should we expect?
Shabana score 1.5 and concede 0.3 goals per match over their last 15; Silibwet score 0.5 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Shabana | 1.5 | 0.3 | 10 | 2/15 | 5/15 |
| Silibwet | 0.5 | 1.5 | 5 | 6/15 | 7/15 |
Over the last 15 matches in all competitions.
A question about Shabana vs Silibwet?
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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