GOR Mahia vs KRA: result 3-0 and analysis
FKF Premier LeagueRegular Season - 30Kick-off on November 8, 2014 at 12:00 PM (UTC)Nyayo National Stadium, Nairobi
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What was the result of GOR Mahia vs KRA?
GOR Mahia won 3-0 on November 8, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, GOR Mahia have 7 wins, 7 draws and 1 defeat; KRA have 3, 1 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 1, 2014 | Muhoroni Youth(away) | 3-1 | FKF Premier League |
| Oct 26, 2014 | Sofapaka(away) | 2-3 | FKF Premier League |
| Oct 19, 2014 | Mathare United(home) | 1-0 | FKF Premier League |
| Oct 4, 2014 | Nairobi City Stars(away) | 4-1 | FKF Premier League |
| Sep 24, 2014 | Bandari(home) | 0-0 | FKF Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 1, 2014 | Chemelil Sugar(home) | 0-2 | FKF Premier League |
| Oct 24, 2014 | Tusker(home) | 0-2 | FKF Premier League |
| Oct 16, 2014 | Sofapaka(away) | 2-3 | FKF Premier League |
| Oct 4, 2014 | Muhoroni Youth(away) | 1-3 | FKF Premier League |
| Sep 19, 2014 | Sony Sugar(home) | 0-1 | FKF Premier League |
What does the head-to-head say?
In the last meeting: 0 GOR Mahia wins, 1 draw, 0 KRA wins.
| Date | Score | Competition |
|---|---|---|
| Jun 14, 2014 | KRA 0-0 GOR Mahia | FKF Premier League |
How many goals should we expect?
GOR Mahia score 1.3 and concede 0.6 goals per match over their last 15; KRA score 0.8 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| GOR Mahia | 1.3 | 0.6 | 9 | 6/15 | 4/15 |
| KRA | 0.8 | 1.6 | 2 | 6/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | GOR Mahia | 1 | 1 | 0 | 0 | 4 | 2 | 3 |
A question about GOR Mahia vs KRA?
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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