MCF vs Naivas: result 0-1 and analysis
Super LeagueRegular Season - 4Kick-off on October 8, 2023 at 12:00 PM (UTC)Kenyatta Stadium, Machakos
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What was the result of MCF vs Naivas?
Naivas won 0-1 on October 8, 2023.
Goalscorers
- 90′?Naivas
What is the recent form of both teams?
Over their last 15 matches in all competitions, MCF have 5 wins, 4 draws and 6 defeats; Naivas have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 1, 2023 | Vihiga United FC(away) | 1-2 | Super League |
| Sep 23, 2023 | Kajiado(away) | 0-2 | Super League |
| Sep 16, 2023 | Assad(home) | 2-2 | Super League |
| Jul 8, 2023 | Migori Youth(away) | 0-2 | Super League |
| Jul 2, 2023 | Gusii(home) | 2-1 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 30, 2023 | Silibwet(home) | 6-0 | Super League |
| Sep 23, 2023 | Luanda Villa(home) | 1-1 | Super League |
| Sep 16, 2023 | Dimba Patriots(away) | 3-2 | Super League |
| Jul 8, 2023 | Vihiga United FC(home) | 2-0 | Super League |
| Jul 2, 2023 | Mombasa Elite(away) | 2-2 | Super League |
What does the head-to-head say?
Across the last 4 meetings: 2 MCF win(s), 0 draw(s), 2 Naivas win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 3, 2023 | MCF 0-2 Naivas | Super League |
| Feb 8, 2023 | Naivas 0-1 MCF | Super League |
| May 22, 2022 | MCF 1-0 Naivas | Super League |
| Nov 7, 2021 | Naivas 1-0 MCF | Super League |
How many goals should we expect?
MCF score 1.4 and concede 1.6 goals per match over their last 15; Naivas score 1.5 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| MCF | 1.4 | 1.6 | 1 | 10/15 | 8/15 |
| Naivas | 1.5 | 1.2 | 4 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
MCF sit 18th in Super League (34 points from 38 matches) and Naivas sit 7th (61 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