KCB vs Vihiga Bullets: result 3-1 and analysis
FKF Premier LeagueRegular Season - 7Kick-off on December 5, 2021 at 12:00 PM (UTC)Kenyatta Stadium, Machakos
Full time
What was the result of KCB vs Vihiga Bullets?
KCB won 3-1 on December 5, 2021.
Goalscorers
- 26′?KCB
- 42′?KCB
- 69′?KCB
- 90′?Vihiga Bullets
What is the recent form of both teams?
Over their last 15 matches in all competitions, KCB have 7 wins, 5 draws and 3 defeats; Vihiga Bullets have 0, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 5, 2021 | Wazito FC(away) | 2-0 | FKF Premier League |
| Oct 30, 2021 | Kenya Police(home) | 2-1 | FKF Premier League |
| Oct 24, 2021 | Sofapaka(away) | 2-1 | FKF Premier League |
| Oct 20, 2021 | Talanta(away) | 1-1 | FKF Premier League |
| Oct 16, 2021 | AFC Leopards(home) | 0-0 | FKF Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 6, 2021 | Nairobi City Stars(away) | 0-4 | FKF Premier League |
| Oct 31, 2021 | Homeboyz(home) | 2-3 | FKF Premier League |
| Oct 23, 2021 | Talanta(away) | 0-2 | FKF Premier League |
| Oct 20, 2021 | Kariobangi Sharks(home) | 0-3 | FKF Premier League |
| Oct 15, 2021 | Posta Rangers FC(away) | 0-4 | FKF Premier League |
How many goals should we expect?
KCB score 1.4 and concede 0.8 goals per match over their last 15; Vihiga Bullets score 0.3 and concede 2.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| KCB | 1.4 | 0.8 | 6 | 8/15 | 7/15 |
| Vihiga Bullets | 0.3 | 2.7 | 1 | 1/6 | 4/6 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | KCB | 1 | 0 | 1 | 0 | 2 | 2 | 1 |
A question about KCB vs Vihiga Bullets?
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