Tusker vs Vihiga Bullets: result 2-0 and analysis
FKF Premier LeagueRegular Season - 14Kick-off on January 20, 2022 at 12:00 PM (UTC)Ruaraka Stadium, Nairobi
Full time
What was the result of Tusker vs Vihiga Bullets?
Tusker won 2-0 on January 20, 2022.
Goalscorers
- 39′?Tusker
- 63′?Tusker
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tusker have 5 wins, 2 draws and 8 defeats; Vihiga Bullets have 1, 3 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 16, 2022 | Nairobi City Stars(home) | 0-1 | FKF Premier League |
| Jan 9, 2022 | Posta Rangers FC(away) | 0-1 | FKF Premier League |
| Jan 5, 2022 | Bidco United(home) | 2-1 | FKF Premier League |
| Dec 30, 2021 | Mathare United(home) | 4-1 | FKF Premier League |
| Dec 23, 2021 | Homeboyz(away) | 0-1 | FKF Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 16, 2022 | Bandari(home) | 1-1 | FKF Premier League |
| Jan 9, 2022 | Wazito FC(home) | 4-2 | FKF Premier League |
| Jan 4, 2022 | Police(away) | 0-4 | FKF Premier League |
| Dec 29, 2021 | Sofapaka(home) | 0-2 | FKF Premier League |
| Dec 18, 2021 | Ulinzi Stars(away) | 0-2 | FKF Premier League |
How many goals should we expect?
Tusker score 0.8 and concede 1.1 goals per match over their last 15; Vihiga Bullets score 0.6 and concede 2.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tusker | 0.8 | 1.1 | 4 | 4/15 | 6/15 |
| Vihiga Bullets | 0.6 | 2.4 | 1 | 5/14 | 8/14 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Tusker | 1 | 1 | 0 | 0 | 2 | 0 | 3 |
A question about Tusker 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