KRA vs Sony Sugar: result 0-1 and analysis
FKF Premier LeagueRegular Season - 25Kick-off on September 19, 2014 at 11:00 AM (UTC)Ruaraka Stadium, Nairobi
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What was the result of KRA vs Sony Sugar?
Sony Sugar won 0-1 on September 19, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, KRA have 6 wins, 1 draw and 8 defeats; Sony Sugar have 3, 7 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 14, 2014 | Mathare United(away) | 0-2 | FKF Premier League |
| Aug 22, 2014 | KCB(away) | 0-1 | FKF Premier League |
| Aug 13, 2014 | Ulinzi Stars(home) | 2-3 | FKF Premier League |
| Aug 9, 2014 | AFC Leopards(away) | 1-3 | FKF Premier League |
| Aug 1, 2014 | Western Stima(home) | 1-0 | FKF Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 14, 2014 | Bandari(home) | 1-1 | FKF Premier League |
| Aug 24, 2014 | GOR Mahia(away) | 0-1 | FKF Premier League |
| Aug 16, 2014 | Western Stima(home) | 0-1 | FKF Premier League |
| Aug 10, 2014 | Thika United(away) | 1-1 | FKF Premier League |
| Aug 6, 2014 | AFC Leopards(home) | 0-2 | FKF Premier League |
What does the head-to-head say?
In the last meeting: 0 KRA wins, 0 draws, 1 Sony Sugar win.
| Date | Score | Competition |
|---|---|---|
| Mar 15, 2014 | Sony Sugar 2-0 KRA | FKF Premier League |
How many goals should we expect?
KRA score 1.0 and concede 1.3 goals per match over their last 15; Sony Sugar score 0.7 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| KRA | 1.0 | 1.3 | 3 | 7/15 | 7/15 |
| Sony Sugar | 0.7 | 1.0 | 3 | 7/15 | 2/15 |
Over the last 15 matches in all competitions.
A question about KRA vs Sony Sugar?
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