Shabana vs Fortune Sacco: result 1-1 and analysis
Super LeagueRegular Season - 17Kick-off on March 20, 2022 at 12:00 AM (UTC)Green Stadium, Awendo
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What was the result of Shabana vs Fortune Sacco?
Shabana and Fortune Sacco drew 1-1 on March 20, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Shabana have 8 wins, 2 draws and 5 defeats; Fortune Sacco have 8, 5 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 12, 2022 | Gusii(away) | 1-0 | Super League |
| Mar 6, 2022 | Assad(home) | 1-0 | Super League |
| Mar 2, 2022 | Vihiga United FC(home) | 2-0 | Super League |
| Feb 26, 2022 | Migori Youth(away) | 1-1 | Super League |
| Feb 14, 2022 | APS Bomet(home) | 1-3 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 12, 2022 | Zoo Kericho(home) | 1-0 | Super League |
| Mar 7, 2022 | APS Bomet(away) | 0-1 | Super League |
| Mar 2, 2022 | Murang'a SEAL(away) | 4-4 | Super League |
| Feb 26, 2022 | Muhoroni Youth(home) | 0-0 | Super League |
| Feb 13, 2022 | Mombasa Elite(away) | 1-0 | Super League |
How many goals should we expect?
Shabana score 1.2 and concede 1.0 goals per match over their last 15; Fortune Sacco score 1.3 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Shabana | 1.2 | 1.0 | 7 | 5/15 | 4/15 |
| Fortune Sacco | 1.3 | 0.7 | 10 | 3/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
The current season has no played match yet: final standings of the 2025-26 season.
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Fortune Sacco | 38 | 18 | 9 | 11 | 61 | 41 | 63 |
A question about Shabana vs Fortune Sacco?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy