Tusker vs KCB: result 0-0 and analysis
FKF Premier LeagueRegular Season - 7Kick-off on March 24, 2012 at 11:00 AM (UTC)Nyayo National Stadium, Nairobi
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What was the result of Tusker vs KCB?
Tusker and KCB drew 0-0 on March 24, 2012.
What is the recent form of both teams?
Over their last 6 matches in all competitions, Tusker have 3 wins, 2 draws and 1 defeat; KCB have 3, 0 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 17, 2012 | Karuturi Sports(home) | 2-2 | FKF Premier League |
| Mar 14, 2012 | GOR Mahia(home) | 2-0 | FKF Premier League |
| Mar 11, 2012 | Thika United(away) | 0-0 | FKF Premier League |
| Mar 8, 2012 | Muhoroni Youth(away) | 1-0 | FKF Premier League |
| Feb 22, 2012 | Western Stima(away) | 0-1 | FKF Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 11, 2012 | Western Stima(home) | 0-2 | FKF Premier League |
| Mar 7, 2012 | Mathare United(away) | 1-0 | FKF Premier League |
| Mar 2, 2012 | Nairobi City Stars(home) | 4-0 | FKF Premier League |
| Feb 19, 2012 | Sofapaka(away) | 1-2 | FKF Premier League |
| Feb 12, 2012 | Ulinzi Stars(home) | 2-1 | FKF Premier League |
How many goals should we expect?
Tusker score 1.2 and concede 0.7 goals per match over their last 6; KCB score 1.6 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tusker | 1.2 | 0.7 | 3 | 2/6 | 2/6 |
| KCB | 1.6 | 1.0 | 2 | 2/5 | 3/5 |
Over the last 6 matches in all competitions.
Where do both teams sit in the table?
Tusker sit 2nd in FKF Premier League (3 points from 1 match) and KCB sit 5th (1 point from 1 match).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Tusker | 1 | 1 | 0 | 0 | 2 | 0 | 3 |
| 5 | KCB | 1 | 0 | 1 | 0 | 2 | 2 | 1 |
A question about Tusker vs KCB?
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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