Shabana vs Murang'a SEAL: result 2-0 and analysis
Super LeagueMatchday 18Kick-off on March 19, 2023 at 12:00 PM (UTC)Gusii Stadium, Kisii
Full time
What was the result of Shabana vs Murang'a SEAL?
Shabana won 2-0 on March 19, 2023.
Goalscorers
- 41′?Shabana
- 52′?Shabana
What is the recent form of both teams?
Over their last 15 matches in all competitions, Shabana have 10 wins, 3 draws and 2 defeats; Murang'a SEAL have 8, 5 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 15, 2023 | MCF(away) | 1-0 | Super League |
| Mar 10, 2023 | Darajani Gogo(home) | 3-0 | Super League |
| Feb 25, 2023 | Migori Youth(away) | 0-0 | Super League |
| Feb 18, 2023 | Gusii(home) | 0-1 | Super League |
| Feb 8, 2023 | Kibera Black Stars(away) | 0-1 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 15, 2023 | Kibera Black Stars(home) | 0-0 | Super League |
| Feb 26, 2023 | Coastal Heroes(home) | 4-1 | Super League |
| Feb 12, 2023 | Naivas(home) | 2-0 | Super League |
| Feb 8, 2023 | Mwatate United(away) | 0-1 | Super League |
| Feb 4, 2023 | Mara Sugar(home) | 3-0 | Super League |
What does the head-to-head say?
Across the last 2 meetings: 0 Shabana wins, 1 draw, 1 Murang'a SEAL win.
| Date | Score | Competition |
|---|---|---|
| Jul 18, 2022 | Murang'a SEAL 1-0 Shabana | Super League |
| May 28, 2022 | Shabana 1-1 Murang'a SEAL | Super League |
Last archived meeting: Murang'a SEAL vs Shabana on Jul 18, 2022
How many goals should we expect?
Shabana score 1.3 and concede 0.3 goals per match over their last 15; Murang'a SEAL score 1.5 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Shabana | 1.3 | 0.3 | 10 | 3/15 | 4/15 |
| Murang'a SEAL | 1.5 | 0.7 | 7 | 7/15 | 6/15 |
Over the last 15 matches in all competitions.
A question about Shabana vs Murang'a SEAL?
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