Fortune Sacco vs Mara Sugar: prediction and stats
Super LeagueRegular Season - 21Kick-off on April 1, 2023 at 12:00 AM (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; Mara Sugar have 7, 3 and 5.
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 26, 2023 | Mwatate United(home) | 3-1 | Super League |
| Mar 15, 2023 | Vihiga United FC(away) | 1-1 | Super League |
| Mar 11, 2023 | Mombasa Elite(home) | 2-1 | Super League |
| Feb 26, 2023 | Assad(away) | 1-4 | Super League |
| Feb 19, 2023 | Silibwet(home) | 3-1 | Super League |
What does the head-to-head say?
Across the last 2 meetings: 2 Fortune Sacco win(s), 0 draw(s), 0 Mara Sugar win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 26, 2022 | Mara Sugar 1-2 Fortune Sacco | Super League |
| Feb 9, 2022 | Fortune Sacco 1-0 Mara Sugar | Super League |
Last archived meeting: Mara Sugar vs Fortune Sacco on Jun 26, 2022
How many goals should we expect?
Fortune Sacco score 1.2 and concede 0.9 goals per match over their last 15; Mara Sugar score 1.1 and concede 1.1.
| 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 |
| Mara Sugar | 1.1 | 1.1 | 6 | 6/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 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