Assad vs Kisumu All Stars: result 2-0 and analysis
Super LeagueRegular Season - 20Kick-off on April 17, 2022 at 12:00 AM (UTC)Shamu Ground, Ukunda
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What was the result of Assad vs Kisumu All Stars?
Assad won 2-0 on April 17, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Assad have 5 wins, 5 draws and 5 defeats; Kisumu All Stars have 5, 7 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 2, 2022 | Kibera Black Stars(away) | 0-5 | Super League |
| Mar 26, 2022 | MCF(home) | 2-3 | Super League |
| Mar 19, 2022 | Mwatate United(away) | 1-2 | Super League |
| Mar 12, 2022 | Dandora Love(home) | 5-2 | Super League |
| Mar 6, 2022 | Shabana(away) | 0-1 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 2, 2022 | Murang'a SEAL(home) | 3-0 | Super League |
| Mar 27, 2022 | Muhoroni Youth(home) | 2-1 | Super League |
| Mar 19, 2022 | Dandora Love(away) | 2-3 | Super League |
| Mar 12, 2022 | Mwatate United(home) | 0-0 | Super League |
| Mar 6, 2022 | MCF(away) | 1-1 | Super League |
What does the head-to-head say?
Across the last 1 meetings: 0 Assad win(s), 0 draw(s), 1 Kisumu All Stars win(s).
| Date | Score | Competition |
|---|---|---|
| Dec 15, 2021 | Kisumu All Stars 3-0 Assad | Super League |
Last archived meeting: Kisumu All Stars vs Assad on Dec 15, 2021
How many goals should we expect?
Assad score 1.6 and concede 1.7 goals per match over their last 15; Kisumu All Stars score 1.3 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Assad | 1.6 | 1.7 | 3 | 9/15 | 9/15 |
| Kisumu All Stars | 1.3 | 1.1 | 5 | 9/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 15 | Kisumu All Stars | 38 | 10 | 9 | 19 | 23 | 47 | 39 |
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