Gusii vs Shabana: result 0-0 and analysis
Super LeagueRegular Season - 33Kick-off on June 11, 2023 at 12:00 PM (UTC)Gusii Stadium, Kisii
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What was the result of Gusii vs Shabana?
Gusii and Shabana drew 0-0 on June 11, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Gusii have 5 wins, 1 draw and 9 defeats; Shabana have 11, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 7, 2023 | Kibera Black Stars(away) | 0-2 | Super League |
| May 14, 2023 | Naivas(away) | 1-2 | Super League |
| May 11, 2023 | Mwatate United(home) | 2-1 | Super League |
| May 6, 2023 | Mara Sugar(away) | 0-1 | Super League |
| May 1, 2023 | Vihiga United FC(home) | 5-2 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 3, 2023 | Kibera Black Stars(home) | 1-0 | Super League |
| May 21, 2023 | Coastal Heroes(home) | 4-0 | Super League |
| May 10, 2023 | Naivas(home) | 1-0 | Super League |
| May 5, 2023 | Mwatate United(away) | 1-0 | Super League |
| Apr 30, 2023 | Mara Sugar(home) | 3-2 | Super League |
What does the head-to-head say?
Across the last 3 meetings: 1 Gusii win, 1 draw, 1 Shabana win.
| Date | Score | Competition |
|---|---|---|
| Feb 18, 2023 | Shabana 0-1 Gusii | Super League |
| Jun 5, 2022 | Shabana 1-1 Gusii | Super League |
| Mar 12, 2022 | Gusii 0-1 Shabana | Super League |
How many goals should we expect?
Gusii score 1.1 and concede 1.3 goals per match over their last 15; Shabana score 1.9 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gusii | 1.1 | 1.3 | 3 | 5/15 | 7/15 |
| Shabana | 1.9 | 0.5 | 11 | 3/15 | 7/15 |
Over the last 15 matches in all competitions.
A question about Gusii vs Shabana?
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