Fortune Sacco vs Assad: prediction and stats
Super LeagueRegular Season - 18Kick-off on March 12, 2023 at 12:00 PM (UTC)Kianyaga Stadium, Kianyaga
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Fortune Sacco have 8 wins, 2 draws and 5 defeats; Assad have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 11, 2023 | APS Bomet(away) | 2-2 | Super League |
| Jan 7, 2023 | Coastal Heroes(home) | 0-2 | Super League |
| Dec 21, 2022 | Mwatate United(home) | 0-2 | Super League |
| Jul 24, 2022 | Gusii(away) | 2-0 | Super League |
| Jul 18, 2022 | MCF(home) | 2-0 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 10, 2023 | Mwatate United(away) | 2-3 | Super League |
| Feb 26, 2023 | Mara Sugar(home) | 4-1 | Super League |
| Feb 18, 2023 | Vihiga United FC(away) | 1-5 | Super League |
| Feb 12, 2023 | Mombasa Elite(home) | 1-2 | Super League |
| Feb 8, 2023 | Gusii(home) | 0-0 | Super League |
What does the head-to-head say?
Across the last 2 meetings: 2 Fortune Sacco win(s), 0 draw(s), 0 Assad win(s).
| Date | Score | Competition |
|---|---|---|
| May 14, 2022 | Fortune Sacco 2-0 Assad | Super League |
| Jan 15, 2022 | Assad 0-2 Fortune Sacco | Super League |
Last archived meeting: Fortune Sacco vs Assad on May 14, 2022
How many goals should we expect?
Fortune Sacco score 1.2 and concede 0.9 goals per match over their last 15; Assad score 1.1 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fortune Sacco | 1.2 | 0.9 | 7 | 3/15 | 4/15 |
| Assad | 1.1 | 1.7 | 4 | 7/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 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