Tusker vs KRA: result 3-1 and analysis
FKF Premier LeagueRegular Season - 12Kick-off on May 11, 2014 at 12:00 PM (UTC)Kinoru Stadium, Meru
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What was the result of Tusker vs KRA?
Tusker won 3-1 on May 11, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tusker have 6 wins, 5 draws and 4 defeats; KRA have 6, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 3, 2014 | AFC Leopards(away) | 0-1 | FKF Premier League |
| Apr 23, 2014 | Chemelil Sugar(home) | 0-1 | FKF Premier League |
| Apr 13, 2014 | Sofapaka(away) | 2-4 | FKF Premier League |
| Apr 9, 2014 | Sony Sugar(home) | 1-0 | FKF Premier League |
| Mar 29, 2014 | Muhoroni Youth(away) | 1-1 | FKF Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 4, 2014 | Mathare United(home) | 1-0 | FKF Premier League |
| Apr 23, 2014 | Nairobi City Stars(away) | 2-1 | FKF Premier League |
| Apr 12, 2014 | Nakuru AllStars(home) | 1-0 | FKF Premier League |
| Apr 9, 2014 | AFC Leopards(home) | 1-0 | FKF Premier League |
| Mar 29, 2014 | Chemelil Sugar(away) | 0-0 | FKF Premier League |
How many goals should we expect?
Tusker score 1.3 and concede 1.1 goals per match over their last 15; KRA score 0.6 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tusker | 1.3 | 1.1 | 3 | 10/15 | 6/15 |
| KRA | 0.6 | 0.7 | 7 | 1/11 | 2/11 |
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 | Tusker | 1 | 1 | 0 | 0 | 2 | 0 | 3 |
A question about Tusker 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