Kibera Black Stars vs APS Bomet: result 3-1 and analysis
Super LeagueRegular Season - 16Kick-off on March 12, 2022 at 12:00 AM (UTC)Camp Toyoyo, Nairobi
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What was the result of Kibera Black Stars vs APS Bomet?
Kibera Black Stars won 3-1 on March 12, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kibera Black Stars have 6 wins, 4 draws and 5 defeats; APS Bomet have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 6, 2022 | Dandora Love(away) | 5-2 | Super League |
| Mar 2, 2022 | MCF(away) | 1-1 | Super League |
| Feb 26, 2022 | Naivas(home) | 1-1 | Super League |
| Feb 13, 2022 | Kisumu All Stars(away) | 1-1 | Super League |
| Feb 9, 2022 | Shabana(home) | 3-2 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 7, 2022 | Fortune Sacco(home) | 1-0 | Super League |
| Mar 2, 2022 | Naivas(away) | 0-1 | Super League |
| Feb 26, 2022 | Zoo Kericho(home) | 2-2 | Super League |
| Feb 14, 2022 | Shabana(away) | 3-1 | Super League |
| Feb 10, 2022 | Dandora Love(home) | 1-2 | Super League |
How many goals should we expect?
Kibera Black Stars score 1.3 and concede 0.9 goals per match over their last 15; APS Bomet score 1.2 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kibera Black Stars | 1.3 | 0.9 | 4 | 7/15 | 5/15 |
| APS Bomet | 1.2 | 0.7 | 7 | 7/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Kibera Black Stars | 38 | 15 | 8 | 15 | 32 | 33 | 53 |
A question about Kibera Black Stars vs APS Bomet?
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