KCB vs Nzoia Sugar: result 2-0 and analysis
FKF Premier LeagueRegular Season - 17Kick-off on March 10, 2019 at 12:00 PM (UTC)Kenyatta Stadium, Machakos
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What was the result of KCB vs Nzoia Sugar?
KCB won 2-0 on March 10, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, KCB have 3 wins, 7 draws and 5 defeats; Nzoia Sugar have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 3, 2019 | Sofapaka(away) | 0-1 | FKF Premier League |
| Feb 23, 2019 | Chemelil Sugar(away) | 1-1 | FKF Premier League |
| Feb 17, 2019 | Sony Sugar(home) | 0-1 | FKF Premier League |
| Feb 11, 2019 | Nakumatt(away) | 2-0 | FKF Premier League |
| Feb 7, 2019 | Posta Rangers FC(home) | 0-0 | FKF Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 2, 2019 | Tusker(home) | 1-0 | FKF Premier League |
| Feb 23, 2019 | Bandari(away) | 0-1 | FKF Premier League |
| Feb 16, 2019 | Chemelil Sugar(home) | 0-1 | FKF Premier League |
| Feb 12, 2019 | Posta Rangers FC(away) | 0-2 | FKF Premier League |
| Feb 7, 2019 | Sofapaka(away) | 0-1 | FKF Premier League |
How many goals should we expect?
KCB score 0.9 and concede 1.1 goals per match over their last 15; Nzoia Sugar score 0.9 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| KCB | 0.9 | 1.1 | 5 | 8/15 | 4/15 |
| Nzoia Sugar | 0.9 | 1.0 | 5 | 5/15 | 4/15 |
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 KCB vs Nzoia Sugar?
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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