Kibera Black Stars vs Naivas: result 1-1 and analysis
Super LeagueRegular Season - 13Kick-off on February 26, 2022 at 12:00 AM (UTC)Camp Toyoyo, Nairobi
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What was the result of Kibera Black Stars vs Naivas?
Kibera Black Stars and Naivas drew 1-1 on February 26, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kibera Black Stars have 7 wins, 2 draws and 6 defeats; Naivas have 6, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 13, 2022 | Kisumu All Stars(away) | 1-1 | Super League |
| Feb 9, 2022 | Shabana(home) | 3-2 | Super League |
| Feb 5, 2022 | Silibwet(home) | 0-1 | Super League |
| Jan 26, 2022 | Mombasa Elite(away) | 0-1 | Super League |
| Jan 22, 2022 | Vihiga United FC(home) | 1-0 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 13, 2022 | Vihiga United FC(home) | 2-0 | Super League |
| Feb 9, 2022 | Mwatate United(away) | 1-2 | Super League |
| Feb 4, 2022 | Coastal Heroes(away) | 3-2 | Super League |
| Jan 27, 2022 | Zoo Kericho(home) | 3-0 | Super League |
| Jan 21, 2022 | Muhoroni Youth(away) | 1-2 | Super League |
How many goals should we expect?
Kibera Black Stars score 1.1 and concede 0.9 goals per match over their last 15; Naivas score 1.4 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kibera Black Stars | 1.1 | 0.9 | 4 | 6/15 | 6/15 |
| Naivas | 1.4 | 1.0 | 5 | 6/12 | 7/12 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Kibera Black Stars sit 9th in Super League (53 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 |
| 9 | Kibera Black Stars | 38 | 15 | 8 | 15 | 32 | 33 | 53 |
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