AFC Leopards vs Tusker: result 0-2 and analysis
FKF Premier LeagueRegular Season - 11Kick-off on April 21, 2012 at 12:00 PM (UTC)Mbaraki Sports Club, Mombasa
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What was the result of AFC Leopards vs Tusker?
Tusker won 0-2 on April 21, 2012.
What is the recent form of both teams?
Over their last 10 matches in all competitions, AFC Leopards have 8 wins, 2 draws and 0 defeats; Tusker have 5, 4 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 14, 2012 | Thika United(away) | 2-1 | FKF Premier League |
| Apr 8, 2012 | Posta Rangers FC(home) | 6-2 | FKF Premier League |
| Mar 28, 2012 | KCB(away) | 2-1 | FKF Premier League |
| Mar 24, 2012 | Western Stima(home) | 2-1 | FKF Premier League |
| Mar 18, 2012 | GOR Mahia(away) | 0-0 | FKF Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 15, 2012 | Mathare United(home) | 2-2 | FKF Premier League |
| Apr 8, 2012 | Sony Sugar(away) | 1-0 | FKF Premier League |
| Apr 1, 2012 | Ulinzi Stars(away) | 2-0 | FKF Premier League |
| Mar 24, 2012 | KCB(home) | 0-0 | FKF Premier League |
| Mar 17, 2012 | Karuturi Sports(home) | 2-2 | FKF Premier League |
How many goals should we expect?
AFC Leopards score 2.0 and concede 0.6 goals per match over their last 10; Tusker score 1.2 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| AFC Leopards | 2.0 | 0.6 | 5 | 5/10 | 5/10 |
| Tusker | 1.2 | 0.6 | 6 | 3/10 | 3/10 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
AFC Leopards sit 12th in FKF Premier League (1 point from 1 match) and Tusker sit 2nd (3 points from 1 match).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Tusker | 1 | 1 | 0 | 0 | 2 | 0 | 3 |
| 12 | AFC Leopards | 1 | 0 | 1 | 0 | 0 | 0 | 1 |
A question about AFC Leopards vs Tusker?
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