MCF vs Shabana: result 0-1 and analysis
Super LeagueRegular Season - 17Kick-off on March 15, 2023 at 12:00 PM (UTC)Kenyatta Stadium, Machakos
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What was the result of MCF vs Shabana?
Shabana won 0-1 on March 15, 2023.
Goalscorers
- 35′?Shabana
What is the recent form of both teams?
Over their last 15 matches in all competitions, MCF have 3 wins, 7 draws and 5 defeats; Shabana have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 11, 2023 | Kibera Black Stars(away) | 0-0 | Super League |
| Mar 8, 2023 | Kajiado(home) | 3-0 | Super League |
| Feb 19, 2023 | Coastal Heroes(away) | 0-2 | Super League |
| Feb 8, 2023 | Naivas(away) | 1-0 | Super League |
| Feb 4, 2023 | Mwatate United(home) | 2-2 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 10, 2023 | Darajani Gogo(home) | 3-0 | Super League |
| Feb 25, 2023 | Migori Youth(away) | 0-0 | Super League |
| Feb 18, 2023 | Gusii(home) | 0-1 | Super League |
| Feb 8, 2023 | Kibera Black Stars(away) | 0-1 | Super League |
| Jan 30, 2023 | Coastal Heroes(away) | 1-0 | Super League |
What does the head-to-head say?
Across the last 2 meetings: 2 MCF wins, 0 draws, 0 Shabana wins.
| Date | Score | Competition |
|---|---|---|
| Apr 17, 2022 | Shabana 1-2 MCF | Super League |
| Dec 15, 2021 | MCF 4-0 Shabana | Super League |
How many goals should we expect?
MCF score 0.7 and concede 0.7 goals per match over their last 15; Shabana score 1.3 and concede 0.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| MCF | 0.7 | 0.7 | 8 | 3/15 | 4/15 |
| Shabana | 1.3 | 0.4 | 9 | 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 |
A question about MCF vs Shabana?
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