Tusker vs KRA: result 0-1 and analysis
FKF Premier LeagueRegular Season - 5Kick-off on March 22, 2015 at 11:00 AM (UTC)Nyayo National Stadium, Nairobi
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What was the result of Tusker vs KRA?
KRA won 0-1 on March 22, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tusker have 5 wins, 8 draws and 2 defeats; KRA have 2, 0 and 13.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 21, 2015 | Thika United(away) | 1-1 | FKF Premier League |
| Nov 8, 2014 | Sofapaka(home) | 2-2 | FKF Premier League |
| Nov 2, 2014 | Thika United(home) | 2-2 | FKF Premier League |
| Oct 24, 2014 | KRA(away) | 2-0 | FKF Premier League |
| Oct 19, 2014 | Muhoroni Youth(home) | 2-0 | FKF Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 22, 2015 | Sofapaka(away) | 1-2 | FKF Premier League |
| Nov 8, 2014 | GOR Mahia(away) | 0-3 | FKF Premier League |
| 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 |
What does the head-to-head say?
Across the last 2 meetings: 2 Tusker wins, 0 draws, 0 KRA wins.
| Date | Score | Competition |
|---|---|---|
| Oct 24, 2014 | KRA 0-2 Tusker | FKF Premier League |
| May 11, 2014 | Tusker 3-1 KRA | FKF Premier League |
How many goals should we expect?
Tusker score 1.3 and concede 0.7 goals per match over their last 15; KRA score 0.7 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tusker | 1.3 | 0.7 | 7 | 7/15 | 4/15 |
| KRA | 0.7 | 1.9 | 1 | 6/15 | 7/15 |
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 | Tusker | 1 | 1 | 0 | 0 | 2 | 0 | 3 |
A question about Tusker vs KRA?
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