Kajiado vs MCF: result 2-1 and analysis
Super LeagueRegular Season - 24Kick-off on April 23, 2023 at 12:00 PM (UTC)Ildamat Stadium, Kajiado
Full time
What was the result of Kajiado vs MCF?
Kajiado won 2-1 on April 23, 2023.
Goalscorers
- 32′?MCF (pen.)
- 43′?Kajiado
- 57′?Kajiado
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kajiado have 4 wins, 1 draw and 10 defeats; MCF have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 19, 2023 | Darajani Gogo(away) | 4-3 | Super League |
| Apr 15, 2023 | Migori Youth(home) | 1-1 | Super League |
| Apr 8, 2023 | Gusii(away) | 0-1 | Super League |
| Apr 2, 2023 | Shabana(home) | 0-3 | Super League |
| Mar 26, 2023 | Kibera Black Stars(home) | 1-0 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 19, 2023 | Kisumu All Stars(home) | 1-0 | Super League |
| Apr 15, 2023 | Murang'a SEAL(away) | 0-1 | Super League |
| Mar 26, 2023 | Migori Youth(home) | 0-1 | Super League |
| Mar 20, 2023 | Gusii(away) | 1-0 | Super League |
| Mar 15, 2023 | Shabana(home) | 0-1 | Super League |
What does the head-to-head say?
In the last meeting: 0 Kajiado wins, 0 draws, 1 MCF win.
| Date | Score | Competition |
|---|---|---|
| Mar 8, 2023 | MCF 3-0 Kajiado | Super League |
How many goals should we expect?
Kajiado score 1.0 and concede 2.1 goals per match over their last 15; MCF score 0.8 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kajiado | 1.0 | 2.1 | 1 | 7/15 | 10/15 |
| MCF | 0.8 | 0.6 | 8 | 2/15 | 3/15 |
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 Kajiado vs MCF?
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