Shabana vs MCF: result 3-1 and analysis
Super LeagueRegular Season - 36Kick-off on June 28, 2023 at 08:00 AM (UTC)Gusii Stadium, Kisii
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What was the result of Shabana vs MCF?
Shabana won 3-1 on June 28, 2023.
Goalscorers
- 10′?Shabana
- 40′?MCF
- 79′?Shabana
- 90′?Shabana
What is the recent form of both teams?
Over their last 15 matches in all competitions, Shabana have 11 wins, 2 draws and 2 defeats; MCF 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 |
|---|---|---|---|
| Jun 23, 2023 | Darajani Gogo(away) | 3-0 | Super League |
| Jun 18, 2023 | Migori Youth(home) | 1-0 | Super League |
| Jun 11, 2023 | Gusii(away) | 0-0 | Super League |
| Jun 3, 2023 | Kibera Black Stars(home) | 1-0 | Super League |
| May 21, 2023 | Coastal Heroes(home) | 4-0 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 23, 2023 | Kibera Black Stars(home) | 4-1 | Super League |
| Jun 11, 2023 | Coastal Heroes(home) | 1-0 | Super League |
| 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 |
What does the head-to-head say?
Across the last 3 meetings: 1 Shabana win(s), 0 draw(s), 2 MCF win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 15, 2023 | MCF 0-1 Shabana | Super League |
| Apr 17, 2022 | Shabana 1-2 MCF | Super League |
| Dec 15, 2021 | MCF 4-0 Shabana | Super League |
How many goals should we expect?
Shabana score 1.9 and concede 0.5 goals per match over their last 15; MCF score 1.3 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Shabana | 1.9 | 0.5 | 11 | 3/15 | 7/15 |
| MCF | 1.3 | 1.1 | 4 | 7/15 | 5/15 |
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