Silibwet vs Shabana: result 0-1 and analysis
Super LeagueRegular Season - 2Kick-off on December 4, 2022 at 12:00 PM (UTC)Bomet Stadium, Bomet
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What was the result of Silibwet vs Shabana?
Shabana won 0-1 on December 4, 2022.
Goalscorers
- 88′?Shabana
What is the recent form of both teams?
Over their last 15 matches in all competitions, Silibwet have 3 wins, 3 draws and 9 defeats; Shabana have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 27, 2022 | Kibera Black Stars(away) | 0-4 | Super League |
| Jul 24, 2022 | Kibera Black Stars(home) | 2-2 | Super League |
| Jul 17, 2022 | Assad(away) | 2-3 | Super League |
| Jul 9, 2022 | Murang'a SEAL(away) | 0-1 | Super League |
| Jul 3, 2022 | Gusii(home) | 4-1 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 24, 2022 | Muhoroni Youth(home) | 1-1 | Super League |
| Jul 18, 2022 | Murang'a SEAL(away) | 0-1 | Super League |
| Jul 14, 2022 | Kisumu All Stars(home) | 2-1 | Super League |
| Jul 9, 2022 | Mwatate United(away) | 2-3 | Super League |
| Jul 2, 2022 | APS Bomet(away) | 0-1 | Super League |
What does the head-to-head say?
Across the last 2 meetings: 0 Silibwet wins, 0 draws, 2 Shabana wins.
| Date | Score | Competition |
|---|---|---|
| May 8, 2022 | Shabana 1-0 Silibwet | Super League |
| Apr 3, 2022 | Silibwet 0-2 Shabana | Super League |
How many goals should we expect?
Silibwet score 1.2 and concede 1.9 goals per match over their last 15; Shabana score 1.2 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Silibwet | 1.2 | 1.9 | 1 | 7/15 | 9/15 |
| Shabana | 1.2 | 1.1 | 4 | 8/15 | 6/15 |
Over the last 15 matches in all competitions.
A question about Silibwet vs Shabana?
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