Mara Sugar vs Naivas: result 1-1 and analysis
Super LeagueRegular Season - 24Kick-off on May 7, 2022 at 12:00 AM (UTC)Green Stadium, Awendo
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What was the result of Mara Sugar vs Naivas?
Mara Sugar and Naivas drew 1-1 on May 7, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mara Sugar have 5 wins, 3 draws and 7 defeats; Naivas have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 2, 2022 | Zoo Kericho(away) | 1-0 | Super League |
| Apr 28, 2022 | Kisumu All Stars(home) | 1-1 | Super League |
| Apr 22, 2022 | Silibwet(away) | 2-1 | Super League |
| Apr 16, 2022 | Mombasa Elite(home) | 0-1 | Super League |
| Apr 3, 2022 | Naivas(away) | 1-0 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 1, 2022 | Dandora Love(home) | 1-0 | Super League |
| Apr 27, 2022 | Shabana(away) | 0-0 | Super League |
| Apr 22, 2022 | Assad(home) | 4-0 | Super League |
| Apr 16, 2022 | Gusii(away) | 1-2 | Super League |
| Apr 3, 2022 | Mara Sugar(home) | 0-1 | Super League |
What does the head-to-head say?
In the last meeting: 1 Mara Sugar win, 0 draws, 0 Naivas wins.
| Date | Score | Competition |
|---|---|---|
| Apr 3, 2022 | Naivas 0-1 Mara Sugar | Super League |
How many goals should we expect?
Mara Sugar score 1.1 and concede 1.2 goals per match over their last 15; Naivas score 1.4 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mara Sugar | 1.1 | 1.2 | 4 | 7/15 | 5/15 |
| Naivas | 1.4 | 0.8 | 7 | 7/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 7 | Naivas | 38 | 17 | 10 | 11 | 47 | 30 | 61 |
A question about Mara Sugar vs Naivas?
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