Nakumatt vs Sofapaka: result 1-1 and analysis
FKF Premier LeagueRegular Season - 15Kick-off on July 1, 2017 at 12:00 PM (UTC)Ruaraka Stadium, Nairobi
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What was the result of Nakumatt vs Sofapaka?
Nakumatt and Sofapaka drew 1-1 on July 1, 2017.
What is the recent form of both teams?
Over their last 13 matches in all competitions, Nakumatt have 6 wins, 4 draws and 3 defeats; Sofapaka have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 28, 2017 | Mathare United(home) | 2-1 | FKF Premier League |
| May 21, 2017 | Chemelil Sugar(home) | 2-1 | FKF Premier League |
| May 14, 2017 | Posta Rangers FC(away) | 0-0 | FKF Premier League |
| May 10, 2017 | Thika United(home) | 2-1 | FKF Premier League |
| May 5, 2017 | Nzoia Sugar(away) | 1-1 | FKF Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 18, 2017 | GOR Mahia(home) | 2-0 | FKF Premier League |
| May 27, 2017 | Nzoia Sugar(away) | 1-1 | FKF Premier League |
| May 20, 2017 | Kariobangi Sharks(home) | 0-0 | FKF Premier League |
| May 13, 2017 | Chemelil Sugar(away) | 1-0 | FKF Premier League |
| May 10, 2017 | Ulinzi Stars(home) | 0-1 | FKF Premier League |
How many goals should we expect?
Nakumatt score 1.2 and concede 0.6 goals per match over their last 13; Sofapaka score 1.4 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nakumatt | 1.2 | 0.6 | 6 | 5/13 | 5/13 |
| Sofapaka | 1.4 | 0.7 | 6 | 6/15 | 5/15 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 18 | Sofapaka | 34 | 3 | 10 | 21 | 19 | 51 | 19 |
A question about Nakumatt vs Sofapaka?
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