Murang'a SEAL vs Naivas: result 4-0 and analysis
Super LeagueRegular Season - 16Kick-off on May 25, 2022 at 12:00 AM (UTC)SportPesa Arena, Murang'a
Full time
What was the result of Murang'a SEAL vs Naivas?
Murang'a SEAL won 4-0 on May 25, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Murang'a SEAL have 7 wins, 2 draws and 6 defeats; Naivas have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 22, 2022 | Assad(away) | 1-2 | Super League |
| May 17, 2022 | Migori Youth(home) | 2-0 | Super League |
| May 1, 2022 | Kibera Black Stars(away) | 2-1 | Super League |
| Apr 23, 2022 | MCF(away) | 0-2 | Super League |
| Apr 2, 2022 | Kisumu All Stars(away) | 0-3 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 22, 2022 | MCF(away) | 0-1 | Super League |
| May 15, 2022 | Silibwet(home) | 3-0 | Super League |
| May 7, 2022 | Mara Sugar(away) | 1-1 | Super League |
| May 1, 2022 | Dandora Love(home) | 1-0 | Super League |
| Apr 27, 2022 | Shabana(away) | 0-0 | Super League |
How many goals should we expect?
Murang'a SEAL score 1.3 and concede 1.3 goals per match over their last 15; Naivas score 1.2 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Murang'a SEAL | 1.3 | 1.3 | 6 | 5/15 | 7/15 |
| Naivas | 1.2 | 0.7 | 7 | 6/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
The current season has no played match yet: final standings of the 2025-26 season.
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Naivas | 38 | 17 | 10 | 11 | 47 | 30 | 61 |
A question about Murang'a SEAL vs Naivas?
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