3K vs Coastal Heroes: result 3-1 and analysis
Super LeagueRegular Season - 19Kick-off on February 9, 2025 at 12:00 PM (UTC)
Full time
What was the result of 3K vs Coastal Heroes?
3K won 3-1 on February 9, 2025.
Goalscorers
- 0′?Coastal Heroes
- 15′?3K
- 48′?3K
- 72′?3K
What is the recent form of both teams?
Over their last 15 matches in all competitions, 3K have 4 wins, 7 draws and 4 defeats; Coastal Heroes 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 |
|---|---|---|---|
| Feb 2, 2025 | Assad(away) | 2-1 | Super League |
| Jan 26, 2025 | APS Bomet(home) | 1-1 | Super League |
| Jan 12, 2025 | Kibera Black Stars(home) | 0-1 | Super League |
| Dec 22, 2024 | Nzoia Sugar(home) | 1-1 | Super League |
| Dec 15, 2024 | Migori Youth(away) | 0-1 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 2, 2025 | Darajani Gogo(away) | 1-1 | Super League |
| Jan 26, 2025 | Fortune Sacco(home) | 1-2 | Super League |
| Jan 22, 2025 | Muhoroni Youth(home) | 2-1 | Super League |
| Jan 18, 2025 | Nzoia Sugar(away) | 1-4 | Super League |
| Jan 12, 2025 | Naivas(home) | 1-4 | Super League |
How many goals should we expect?
3K score 0.8 and concede 0.8 goals per match over their last 15; Coastal Heroes score 0.7 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| 3K | 0.8 | 0.8 | 4 | 7/15 | 2/15 |
| Coastal Heroes | 0.7 | 1.4 | 5 | 7/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | 3K | 38 | 23 | 8 | 7 | 62 | 26 | 77 |
A question about 3K vs Coastal Heroes?
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