Fortune Sacco vs Assad: result 2-0 and analysis
Super LeagueRegular Season - 25Kick-off on May 14, 2022 at 12:00 AM (UTC)Kianyaga Stadium, Kianyaga
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What was the result of Fortune Sacco vs Assad?
Fortune Sacco won 2-0 on May 14, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Fortune Sacco have 6 wins, 6 draws and 3 defeats; Assad 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 |
|---|---|---|---|
| May 8, 2022 | Coastal Heroes(home) | 1-0 | Super League |
| May 2, 2022 | Kisumu All Stars(away) | 2-1 | Super League |
| Apr 27, 2022 | Kibera Black Stars(home) | 1-1 | Super League |
| Apr 22, 2022 | Vihiga United FC(away) | 0-1 | Super League |
| Apr 16, 2022 | Silibwet(home) | 2-0 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 27, 2022 | Migori Youth(home) | 3-2 | Super League |
| Apr 22, 2022 | Naivas(away) | 0-4 | Super League |
| Apr 17, 2022 | Kisumu All Stars(home) | 2-0 | Super League |
| Apr 2, 2022 | Kibera Black Stars(away) | 0-5 | Super League |
| Mar 26, 2022 | MCF(home) | 2-3 | Super League |
What does the head-to-head say?
Across the last 1 meetings: 1 Fortune Sacco win(s), 0 draw(s), 0 Assad win(s).
| Date | Score | Competition |
|---|---|---|
| Jan 15, 2022 | Assad 0-2 Fortune Sacco | Super League |
Last archived meeting: Assad vs Fortune Sacco on Jan 15, 2022
How many goals should we expect?
Fortune Sacco score 1.0 and concede 0.7 goals per match over their last 15; Assad score 1.8 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fortune Sacco | 1.0 | 0.7 | 7 | 5/15 | 2/15 |
| Assad | 1.8 | 1.9 | 3 | 9/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Fortune Sacco | 38 | 18 | 9 | 11 | 61 | 41 | 63 |
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