Naivas vs MCF: result 0-1 and analysis
Super LeagueRegular Season - 12Kick-off on February 8, 2023 at 12:00 PM (UTC)Camp Toyoyo, Nairobi
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What was the result of Naivas vs MCF?
MCF won 0-1 on February 8, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Naivas have 5 wins, 4 draws and 6 defeats; MCF have 2, 6 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 4, 2023 | Darajani Gogo(away) | 0-0 | Super League |
| Jan 29, 2023 | Migori Youth(home) | 1-0 | Super League |
| Jan 21, 2023 | Gusii(away) | 0-0 | Super League |
| Jan 15, 2023 | Shabana(home) | 1-2 | Super League |
| Jan 11, 2023 | Kibera Black Stars(away) | 0-0 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 4, 2023 | Mwatate United(home) | 2-2 | Super League |
| Jan 29, 2023 | Mara Sugar(away) | 0-1 | Super League |
| Jan 25, 2023 | Darajani Gogo(away) | 0-0 | Super League |
| Jan 21, 2023 | Vihiga United FC(home) | 1-1 | Super League |
| Jan 15, 2023 | Mombasa Elite(away) | 0-0 | Super League |
What does the head-to-head say?
Across the last 2 meetings: 1 Naivas win(s), 0 draw(s), 1 MCF win(s).
| Date | Score | Competition |
|---|---|---|
| May 22, 2022 | MCF 1-0 Naivas | Super League |
| Nov 7, 2021 | Naivas 1-0 MCF | Super League |
How many goals should we expect?
Naivas score 1.0 and concede 0.7 goals per match over their last 15; MCF score 1.0 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Naivas | 1.0 | 0.7 | 8 | 4/15 | 5/15 |
| MCF | 1.0 | 1.1 | 6 | 4/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Naivas sit 7th in Super League (61 points from 38 matches) and MCF sit 18th (34 points from 38 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Naivas | 38 | 17 | 10 | 11 | 47 | 30 | 61 |
| 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