Silibwet vs MCF: result 0-0 and analysis
Super LeagueRegular Season - 6Kick-off on January 7, 2023 at 12:00 PM (UTC)Bomet Stadium, Bomet
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What was the result of Silibwet vs MCF?
Silibwet and MCF drew 0-0 on January 7, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Silibwet have 3 wins, 2 draws and 10 defeats; MCF 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 |
|---|---|---|---|
| Dec 14, 2022 | Migori Youth(home) | 1-2 | Super League |
| Dec 4, 2022 | Shabana(home) | 0-1 | Super League |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 21, 2022 | Murang'a SEAL(home) | 0-1 | Super League |
| Dec 14, 2022 | Kisumu All Stars(away) | 0-0 | Super League |
| Sep 21, 2022 | Ulinzi Stars(home) | 1-3 | Friendlies Clubs |
| Jul 24, 2022 | Mwatate United(home) | 0-1 | Super League |
| Jul 18, 2022 | Fortune Sacco(away) | 0-2 | Super League |
What does the head-to-head say?
Across the last 2 meetings: 0 Silibwet win(s), 1 draw(s), 1 MCF win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 18, 2022 | MCF 3-0 Silibwet | Super League |
| Feb 25, 2022 | Silibwet 1-1 MCF | Super League |
How many goals should we expect?
Silibwet score 1.2 and concede 1.9 goals per match over their last 15; MCF score 1.4 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Silibwet | 1.2 | 1.9 | 1 | 7/15 | 10/15 |
| MCF | 1.4 | 0.9 | 7 | 3/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 18 | MCF | 38 | 9 | 10 | 19 | 24 | 42 | 34 |
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