Shabana vs Naivas: result 0-0 and analysis
Super LeagueRegular Season - 22Kick-off on April 27, 2022 at 12:00 AM (UTC)Green Stadium, Awendo
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What was the result of Shabana vs Naivas?
Shabana and Naivas drew 0-0 on April 27, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Shabana have 7 wins, 2 draws and 6 defeats; Naivas have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 22, 2022 | Coastal Heroes(away) | 1-2 | Super League |
| Apr 17, 2022 | MCF(home) | 1-2 | Super League |
| Apr 3, 2022 | Silibwet(away) | 2-0 | Super League |
| Mar 20, 2022 | Fortune Sacco(home) | 1-1 | Super League |
| Mar 12, 2022 | Gusii(away) | 1-0 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Mar 26, 2022 | Fortune Sacco(away) | 1-0 | Super League |
| Mar 20, 2022 | Mombasa Elite(home) | 1-1 | Super League |
What does the head-to-head say?
In the last meeting: 1 Shabana win, 0 draws, 0 Naivas wins.
| Date | Score | Competition |
|---|---|---|
| Jan 9, 2022 | Naivas 0-1 Shabana | Super League |
How many goals should we expect?
Shabana score 1.2 and concede 1.0 goals per match over their last 15; Naivas score 1.5 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Shabana | 1.2 | 1.0 | 6 | 7/15 | 5/15 |
| Naivas | 1.5 | 1.0 | 5 | 8/15 | 7/15 |
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 Shabana 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