MCF vs Coastal Heroes: result 1-0 and analysis
Super LeagueRegular Season - 33Kick-off on June 11, 2023 at 12:00 PM (UTC)Kenyatta Stadium, Machakos
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What was the result of MCF vs Coastal Heroes?
MCF won 1-0 on June 11, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, MCF have 5 wins, 4 draws and 6 defeats; Coastal Heroes have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 3, 2023 | Naivas(home) | 0-2 | Super League |
| May 28, 2023 | Mwatate United(away) | 1-1 | Super League |
| May 24, 2023 | Darajani Gogo(home) | 1-1 | Super League |
| May 20, 2023 | Mara Sugar(home) | 0-1 | Super League |
| May 14, 2023 | Vihiga United FC(away) | 2-1 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 7, 2023 | Darajani Gogo(home) | 2-0 | Super League |
| Jun 2, 2023 | Migori Youth(away) | 0-2 | Super League |
| May 21, 2023 | Shabana(away) | 0-4 | Super League |
| May 14, 2023 | Kibera Black Stars(home) | 1-0 | Super League |
| Apr 27, 2023 | Gusii(home) | 1-0 | Super League |
What does the head-to-head say?
Across the last 3 meetings: 1 MCF win(s), 1 draw(s), 1 Coastal Heroes win(s).
| Date | Score | Competition |
|---|---|---|
| Feb 19, 2023 | Coastal Heroes 2-0 MCF | Super League |
| Jul 13, 2022 | MCF 6-0 Coastal Heroes | Super League |
| Jan 22, 2022 | Coastal Heroes 1-1 MCF | Super League |
Last archived meeting: Coastal Heroes vs MCF on Feb 19, 2023
How many goals should we expect?
MCF score 1.0 and concede 1.1 goals per match over their last 15; Coastal Heroes score 1.2 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| MCF | 1.0 | 1.1 | 4 | 6/15 | 4/15 |
| Coastal Heroes | 1.2 | 1.9 | 3 | 9/15 | 8/15 |
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