MCF vs Murang'a SEAL: result 2-0 and analysis
Super LeagueRegular Season - 21Kick-off on April 23, 2022 at 12:00 AM (UTC)Thika Municipal Stadium, Thika
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What was the result of MCF vs Murang'a SEAL?
MCF won 2-0 on April 23, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, MCF have 6 wins, 6 draws and 3 defeats; Murang'a SEAL have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 17, 2022 | Shabana(away) | 2-1 | Super League |
| Apr 2, 2022 | APS Bomet(home) | 1-1 | Super League |
| Mar 26, 2022 | Assad(away) | 3-2 | Super League |
| Mar 19, 2022 | Vihiga United FC(home) | 0-1 | Super League |
| Mar 11, 2022 | Mombasa Elite(away) | 2-3 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 2, 2022 | Kisumu All Stars(away) | 0-3 | Super League |
| Mar 6, 2022 | Mara Sugar(away) | 2-1 | Super League |
| Mar 2, 2022 | Fortune Sacco(home) | 4-4 | Super League |
| Feb 26, 2022 | Vihiga United FC(away) | 0-2 | Super League |
| Feb 13, 2022 | Mwatate United(home) | 3-0 | Super League |
What does the head-to-head say?
In the last meeting: 0 MCF wins, 0 draws, 1 Murang'a SEAL win.
| Date | Score | Competition |
|---|---|---|
| Dec 11, 2021 | Murang'a SEAL 3-0 MCF | Super League |
How many goals should we expect?
MCF score 1.5 and concede 1.5 goals per match over their last 15; Murang'a SEAL score 1.4 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| MCF | 1.5 | 1.5 | 2 | 12/15 | 6/15 |
| Murang'a SEAL | 1.4 | 1.3 | 7 | 5/15 | 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 |
A question about MCF vs Murang'a SEAL?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy