Coastal Heroes vs MCF: result 2-0 and analysis
Super LeagueRegular Season - 14Kick-off on February 19, 2023 at 10:00 AM (UTC)Mbaraki Sports Club, Mombasa
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What was the result of Coastal Heroes vs MCF?
Coastal Heroes won 2-0 on February 19, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Coastal Heroes have 5 wins, 2 draws and 8 defeats; MCF have 3, 6 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 13, 2023 | Darajani Gogo(away) | 0-3 | Super League |
| Feb 9, 2023 | Migori Youth(home) | 2-1 | Super League |
| Feb 4, 2023 | Gusii(away) | 0-1 | Super League |
| Jan 30, 2023 | Shabana(home) | 0-1 | Super League |
| Jan 22, 2023 | Kibera Black Stars(away) | 1-4 | Super League |
| 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 |
What does the head-to-head say?
Across the last 2 meetings: 0 Coastal Heroes win(s), 1 draw(s), 1 MCF win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 13, 2022 | MCF 6-0 Coastal Heroes | Super League |
| Jan 22, 2022 | Coastal Heroes 1-1 MCF | Super League |
Last archived meeting: MCF vs Coastal Heroes on Jul 13, 2022
How many goals should we expect?
Coastal Heroes score 1.1 and concede 1.6 goals per match over their last 15; MCF score 0.9 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Coastal Heroes | 1.1 | 1.6 | 3 | 6/15 | 7/15 |
| MCF | 0.9 | 0.9 | 7 | 3/15 | 4/15 |
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