KRA vs KCB: result 2-1 and analysis
FKF Premier LeagueRegular Season - 14Kick-off on May 24, 2015 at 12:00 PM (UTC)Moi International Sports Centre, Nairobi
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What was the result of KRA vs KCB?
KRA won 2-1 on May 24, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, KRA have 4 wins, 4 draws and 7 defeats; KCB have 3, 6 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 16, 2015 | Nairobi City Stars(away) | 1-1 | FKF Premier League |
| May 10, 2015 | Nakuru AllStars(home) | 2-0 | FKF Premier League |
| May 3, 2015 | Chemelil Sugar(away) | 0-1 | FKF Premier League |
| Apr 26, 2015 | GOR Mahia(home) | 0-2 | FKF Premier League |
| Apr 18, 2015 | AFC Leopards(away) | 1-0 | FKF Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 17, 2015 | Tusker(home) | 1-0 | FKF Premier League |
| May 10, 2015 | Sony Sugar(away) | 0-0 | FKF Premier League |
| May 3, 2015 | Thika United(home) | 1-1 | FKF Premier League |
| Apr 29, 2015 | Sofapaka(away) | 1-1 | FKF Premier League |
| Apr 18, 2015 | Nairobi City Stars(home) | 1-3 | FKF Premier League |
What does the head-to-head say?
Across the last 2 meetings: 1 KRA win, 0 draws, 1 KCB win.
| Date | Score | Competition |
|---|---|---|
| Aug 22, 2014 | KCB 1-0 KRA | FKF Premier League |
| Feb 22, 2014 | KRA 1-0 KCB | FKF Premier League |
How many goals should we expect?
KRA score 0.7 and concede 1.1 goals per match over their last 15; KCB score 1.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| KRA | 0.7 | 1.1 | 4 | 5/15 | 3/15 |
| KCB | 1.1 | 1.5 | 4 | 9/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 5 | KCB | 1 | 0 | 1 | 0 | 2 | 2 | 1 |
A question about KRA vs KCB?
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