Fortune Sacco vs Silibwet: result 2-0 and analysis
Super LeagueRegular Season - 20Kick-off on April 16, 2022 at 12:00 AM (UTC)Kianyaga Stadium, Kianyaga
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What was the result of Fortune Sacco vs Silibwet?
Fortune Sacco won 2-0 on April 16, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Fortune Sacco have 7 wins, 5 draws and 3 defeats; Silibwet have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 2, 2022 | Coastal Heroes(away) | 1-1 | Super League |
| Mar 26, 2022 | Naivas(home) | 0-1 | Super League |
| Mar 20, 2022 | Shabana(away) | 1-1 | Super League |
| Mar 12, 2022 | Zoo Kericho(home) | 1-0 | Super League |
| Mar 7, 2022 | APS Bomet(away) | 0-1 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 3, 2022 | Shabana(home) | 0-2 | Super League |
| Mar 27, 2022 | Gusii(away) | 2-1 | Super League |
| Mar 20, 2022 | Migori Youth(home) | 2-1 | Super League |
| Mar 12, 2022 | Vihiga United FC(away) | 0-3 | Super League |
| Mar 6, 2022 | Coastal Heroes(home) | 3-1 | Super League |
What does the head-to-head say?
Across the last 1 meetings: 0 Fortune Sacco win(s), 1 draw(s), 0 Silibwet win(s).
| Date | Score | Competition |
|---|---|---|
| Dec 15, 2021 | Silibwet 0-0 Fortune Sacco | Super League |
Last archived meeting: Silibwet vs Fortune Sacco on Dec 15, 2021
How many goals should we expect?
Fortune Sacco score 1.3 and concede 0.9 goals per match over their last 15; Silibwet score 1.5 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fortune Sacco | 1.3 | 0.9 | 7 | 5/15 | 5/15 |
| Silibwet | 1.5 | 1.8 | 1 | 11/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Fortune Sacco | 38 | 18 | 9 | 11 | 61 | 41 | 63 |
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