Mara Sugar vs Naivas: result 0-0 and analysis
Super LeagueRegular Season - 20Kick-off on April 1, 2023 at 10:00 AM (UTC)Green Stadium, Awendo
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What was the result of Mara Sugar vs Naivas?
Mara Sugar and Naivas drew 0-0 on April 1, 2023.
Goalscorers
- 52′?Naivas
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mara Sugar have 7 wins, 3 draws and 5 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 |
|---|---|---|---|
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 25, 2023 | Vihiga United FC(away) | 0-2 | Super League |
| Mar 20, 2023 | Mombasa Elite(home) | 3-1 | Super League |
| Mar 15, 2023 | Assad(away) | 2-1 | Super League |
| Mar 10, 2023 | Silibwet(home) | 3-0 | Super League |
| Feb 26, 2023 | Kajiado(away) | 2-0 | Super League |
What does the head-to-head say?
Across the last 3 meetings: 2 Mara Sugar win(s), 1 draw(s), 0 Naivas win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 26, 2022 | Naivas 0-1 Mara Sugar | Super League |
| May 7, 2022 | Mara Sugar 1-1 Naivas | Super League |
| Apr 3, 2022 | Naivas 0-1 Mara Sugar | Super League |
How many goals should we expect?
Mara Sugar score 1.1 and concede 1.1 goals per match over their last 15; Naivas score 1.1 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mara Sugar | 1.1 | 1.1 | 6 | 6/15 | 6/15 |
| Naivas | 1.1 | 0.7 | 8 | 4/15 | 5/15 |
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 |
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