Mara Sugar vs Sofapaka: result 1-1 and analysis
FKF Premier LeagueRegular Season - 9Kick-off on November 24, 2024 at 11:00 AM (UTC)Green Stadium, Awendo
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What was the result of Mara Sugar vs Sofapaka?
Mara Sugar and Sofapaka drew 1-1 on November 24, 2024.
Goalscorers
- 4′?Sofapaka
- 90′?Mara Sugar
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mara Sugar have 9 wins, 4 draws and 2 defeats; Sofapaka have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 10, 2024 | AFC Leopards(away) | 1-1 | FKF Premier League |
| Nov 3, 2024 | Bidco United(away) | 2-0 | FKF Premier League |
| Oct 23, 2024 | Posta Rangers FC(home) | 1-1 | FKF Premier League |
| Oct 19, 2024 | Shabana(home) | 1-0 | FKF Premier League |
| Sep 29, 2024 | Murang'a SEAL(away) | 1-1 | FKF Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 6, 2024 | Police(home) | 1-1 | FKF Premier League |
| Nov 2, 2024 | Homeboyz(home) | 2-0 | FKF Premier League |
| Oct 23, 2024 | Shabana(away) | 1-0 | FKF Premier League |
| Oct 19, 2024 | Nairobi City Stars(away) | 1-1 | FKF Premier League |
| Sep 28, 2024 | Bandari(home) | 0-1 | FKF Premier League |
How many goals should we expect?
Mara Sugar score 1.5 and concede 0.6 goals per match over their last 15; Sofapaka score 1.1 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mara Sugar | 1.5 | 0.6 | 8 | 6/15 | 5/15 |
| Sofapaka | 1.1 | 0.8 | 4 | 7/15 | 3/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Mara Sugar | 1 | 0 | 1 | 0 | 2 | 2 | 1 |
A question about Mara Sugar vs Sofapaka?
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