Talanta vs Shabana: result 1-1 and analysis
FKF Premier LeagueRegular Season - 2Kick-off on September 1, 2023 at 12:00 PM (UTC)Nyayo National Stadium, Nairobi
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What was the result of Talanta vs Shabana?
Talanta and Shabana drew 1-1 on September 1, 2023.
Goalscorers
- 90′?Talanta
- 90′?Shabana
What is the recent form of both teams?
Over their last 15 matches in all competitions, Talanta have 3 wins, 7 draws and 5 defeats; Shabana have 11, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 27, 2023 | AFC Leopards(away) | 0-0 | FKF Premier League |
| Jun 25, 2023 | Ulinzi Stars(away) | 0-2 | FKF Premier League |
| Jun 20, 2023 | Nairobi City Stars(home) | 2-2 | FKF Premier League |
| Jun 3, 2023 | Kariobangi Sharks(away) | 2-2 | FKF Premier League |
| May 28, 2023 | Homeboyz(home) | 1-0 | FKF Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 27, 2023 | Murang'a SEAL(home) | 0-1 | FKF Premier League |
| Jul 8, 2023 | Kisumu All Stars(home) | 2-0 | Super League |
| Jul 2, 2023 | Murang'a SEAL(away) | 1-2 | Super League |
| Jun 28, 2023 | MCF(home) | 3-1 | Super League |
| Jun 23, 2023 | Darajani Gogo(away) | 3-0 | Super League |
How many goals should we expect?
Talanta score 0.9 and concede 1.1 goals per match over their last 15; Shabana score 2.0 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Talanta | 0.9 | 1.1 | 6 | 6/15 | 4/15 |
| Shabana | 2.0 | 0.7 | 9 | 5/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Shabana | 1 | 1 | 0 | 0 | 1 | 0 | 3 |
A question about Talanta vs Shabana?
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