Shabana vs Naivas: result 1-0 and analysis
Super LeagueRegular Season - 27Kick-off on May 10, 2023 at 11:00 AM (UTC)Gusii Stadium, Kisii
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What was the result of Shabana vs Naivas?
Shabana won 1-0 on May 10, 2023.
Goalscorers
- 25′?Shabana
What is the recent form of both teams?
Over their last 15 matches in all competitions, Shabana have 9 wins, 2 draws and 4 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 5, 2023 | Mwatate United(away) | 1-0 | Super League |
| Apr 30, 2023 | Mara Sugar(home) | 3-2 | Super League |
| Apr 24, 2023 | Vihiga United FC(away) | 6-0 | Super League |
| Apr 20, 2023 | Mombasa Elite(home) | 3-1 | Super League |
| Apr 14, 2023 | Assad(away) | 1-3 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 6, 2023 | Kibera Black Stars(home) | 4-0 | Super League |
| Apr 23, 2023 | Coastal Heroes(home) | 4-1 | Super League |
| Apr 8, 2023 | Mwatate United(home) | 0-1 | Super League |
| Apr 1, 2023 | Mara Sugar(away) | 0-0 | Super League |
| Mar 25, 2023 | Vihiga United FC(away) | 0-2 | Super League |
What does the head-to-head say?
Across the last 3 meetings: 2 Shabana win(s), 1 draw(s), 0 Naivas win(s).
| Date | Score | Competition |
|---|---|---|
| Jan 15, 2023 | Naivas 1-2 Shabana | Super League |
| Apr 27, 2022 | Shabana 0-0 Naivas | Super League |
| Jan 9, 2022 | Naivas 0-1 Shabana | Super League |
How many goals should we expect?
Shabana score 1.6 and concede 0.6 goals per match over their last 15; Naivas score 1.3 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Shabana | 1.6 | 0.6 | 9 | 3/15 | 6/15 |
| Naivas | 1.3 | 0.6 | 8 | 3/15 | 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