KRA vs Bandari: result 2-1 and analysis
FKF Premier LeagueRegular Season - 18Kick-off on July 17, 2014 at 12:00 PM (UTC)Nyayo National Stadium, Nairobi
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What was the result of KRA vs Bandari?
KRA won 2-1 on July 17, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, KRA have 7 wins, 3 draws and 5 defeats; Bandari have 4, 6 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 13, 2014 | Nakuru AllStars(away) | 0-1 | FKF Premier League |
| Jul 6, 2014 | Nairobi City Stars(home) | 3-1 | FKF Premier League |
| Jun 14, 2014 | GOR Mahia(home) | 0-0 | FKF Premier League |
| Jun 6, 2014 | Western Stima(away) | 0-1 | FKF Premier League |
| May 21, 2014 | Thika United(home) | 2-1 | FKF Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 13, 2014 | Muhoroni Youth(home) | 1-0 | FKF Premier League |
| Jul 9, 2014 | AFC Leopards(away) | 0-0 | FKF Premier League |
| Jul 4, 2014 | Chemelil Sugar(away) | 2-0 | FKF Premier League |
| Jun 9, 2014 | Chemelil Sugar(home) | 0-1 | FKF Premier League |
| May 21, 2014 | Sofapaka(away) | 0-3 | FKF Premier League |
What does the head-to-head say?
In the last meeting: 0 KRA wins, 0 draws, 1 Bandari win.
| Date | Score | Competition |
|---|---|---|
| Feb 16, 2014 | Bandari 2-0 KRA | FKF Premier League |
How many goals should we expect?
KRA score 0.8 and concede 0.9 goals per match over their last 15; Bandari score 0.9 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| KRA | 0.8 | 0.9 | 7 | 4/15 | 5/15 |
| Bandari | 0.9 | 1.0 | 5 | 7/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Bandari | 1 | 0 | 1 | 0 | 0 | 0 | 1 |
A question about KRA vs Bandari?
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