Murang'a SEAL vs Assad: result 3-1 and analysis
Super LeagueRegular Season - 27Kick-off on May 10, 2023 at 12:00 PM (UTC)SportPesa Arena, Murang'a
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What was the result of Murang'a SEAL vs Assad?
Murang'a SEAL won 3-1 on May 10, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Murang'a SEAL have 9 wins, 3 draws and 3 defeats; Assad have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 6, 2023 | Silibwet(away) | 0-0 | Super League |
| Apr 30, 2023 | Kajiado(home) | 5-0 | Super League |
| Apr 23, 2023 | Kisumu All Stars(away) | 3-2 | Super League |
| Apr 15, 2023 | MCF(home) | 1-0 | Super League |
| Apr 9, 2023 | Darajani Gogo(away) | 1-0 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2023 | MCF(home) | 3-3 | Super League |
| Apr 30, 2023 | Darajani Gogo(away) | 0-2 | Super League |
| Apr 24, 2023 | Migori Youth(home) | 3-1 | Super League |
| Apr 19, 2023 | Gusii(away) | 0-3 | Super League |
| Apr 14, 2023 | Shabana(home) | 3-1 | Super League |
What does the head-to-head say?
Across the last 3 meetings: 2 Murang'a SEAL wins, 0 draws, 1 Assad win.
| Date | Score | Competition |
|---|---|---|
| Jan 15, 2023 | Assad 1-2 Murang'a SEAL | Super League |
| May 22, 2022 | Assad 2-1 Murang'a SEAL | Super League |
| Nov 7, 2021 | Murang'a SEAL 4-1 Assad | Super League |
Last archived meeting: Assad vs Murang'a SEAL on Jan 15, 2023
How many goals should we expect?
Murang'a SEAL score 1.7 and concede 0.5 goals per match over their last 15; Assad score 1.5 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Murang'a SEAL | 1.7 | 0.5 | 9 | 3/15 | 5/15 |
| Assad | 1.5 | 1.9 | 2 | 10/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Murang'a SEAL vs Assad?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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