MCF vs Fortune Sacco: prediction and stats
Super LeagueRegular Season - 13Kick-off on February 12, 2023 at 12:00 PM (UTC)Thika Municipal Stadium, Thika
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, MCF have 3 wins, 6 draws and 6 defeats; Fortune Sacco have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 8, 2023 | Naivas(away) | 1-0 | Super League |
| Feb 4, 2023 | Mwatate United(home) | 2-2 | Super League |
| Jan 29, 2023 | Mara Sugar(away) | 0-1 | Super League |
| Jan 25, 2023 | Darajani Gogo(away) | 0-0 | Super League |
| Jan 21, 2023 | Vihiga United FC(home) | 1-1 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 11, 2023 | APS Bomet(away) | 2-2 | Super League |
| Jan 7, 2023 | Coastal Heroes(home) | 0-2 | Super League |
| Dec 21, 2022 | Mwatate United(home) | 0-2 | Super League |
| Jul 24, 2022 | Gusii(away) | 2-0 | Super League |
| Jul 18, 2022 | MCF(home) | 2-0 | Super League |
What does the head-to-head say?
Across the last 2 meetings: 0 MCF win(s), 1 draw(s), 1 Fortune Sacco win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 18, 2022 | Fortune Sacco 2-0 MCF | Super League |
| Dec 5, 2021 | MCF 0-0 Fortune Sacco | Super League |
How many goals should we expect?
MCF score 0.9 and concede 0.9 goals per match over their last 15; Fortune Sacco score 1.2 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| MCF | 0.9 | 0.9 | 7 | 3/15 | 4/15 |
| Fortune Sacco | 1.2 | 0.9 | 7 | 3/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
MCF sit 18th in Super League (34 points from 38 matches) and Fortune Sacco sit 6th (63 points from 38 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Fortune Sacco | 38 | 18 | 9 | 11 | 61 | 41 | 63 |
| 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