Assad vs Kibera Black Stars: result 2-0 and analysis
Super LeagueRegular Season - 24Kick-off on July 6, 2022 at 12:00 AM (UTC)Shamu Ground, Ukunda
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What was the result of Assad vs Kibera Black Stars?
Assad won 2-0 on July 6, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Assad have 8 wins, 0 draws and 7 defeats; Kibera Black Stars have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 3, 2022 | Mara Sugar(home) | 2-0 | Super League |
| Jun 26, 2022 | Zoo Kericho(away) | 2-0 | Super League |
| Jun 22, 2022 | Muhoroni Youth(home) | 1-0 | Super League |
| Jun 18, 2022 | Mombasa Elite(away) | 0-1 | Super League |
| Jun 11, 2022 | Shabana(home) | 0-1 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 2, 2022 | Kisumu All Stars(home) | 3-1 | Super League |
| Jun 26, 2022 | Shabana(away) | 1-3 | Super League |
| Jun 22, 2022 | MCF(home) | 0-3 | Super League |
| Jun 18, 2022 | Naivas(away) | 2-2 | Super League |
| Jun 11, 2022 | Dandora Love(home) | 3-1 | Super League |
What does the head-to-head say?
Across the last 1 meetings: 0 Assad win(s), 0 draw(s), 1 Kibera Black Stars win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 2, 2022 | Kibera Black Stars 5-0 Assad | Super League |
Last archived meeting: Kibera Black Stars vs Assad on Apr 2, 2022
How many goals should we expect?
Assad score 1.3 and concede 1.3 goals per match over their last 15; Kibera Black Stars score 1.7 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Assad | 1.3 | 1.3 | 6 | 2/15 | 5/15 |
| Kibera Black Stars | 1.7 | 1.1 | 5 | 8/15 | 8/15 |
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 |
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