Makedonija GjP vs Sileks: result 1-1 and analysis
First LeagueRegular Season - 13Kick-off on November 5, 2016 at 12:30 PM (UTC)Stadion Gorče Petrov, Skopje
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What was the result of Makedonija GjP vs Sileks?
Makedonija GjP and Sileks drew 1-1 on November 5, 2016.
What is the recent form of both teams?
Over their last 12 matches in all competitions, Makedonija GjP have 2 wins, 3 draws and 7 defeats; Sileks have 3, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 30, 2016 | Pelister(away) | 0-1 | First League |
| Oct 23, 2016 | Renova(home) | 2-1 | First League |
| Oct 15, 2016 | FK Rabotnicki(away) | 1-2 | First League |
| Oct 2, 2016 | Shkupi 1927(home) | 0-1 | First League |
| Sep 28, 2016 | Bregalnica Štip(away) | 2-1 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 30, 2016 | Bregalnica Štip(home) | 1-0 | First League |
| Oct 23, 2016 | Pobeda(away) | 1-1 | First League |
| Oct 16, 2016 | Shkendija(home) | 1-3 | First League |
| Oct 2, 2016 | Vardar Skopje(home) | 1-3 | First League |
| Sep 28, 2016 | Shkupi 1927(away) | 1-1 | First League |
What does the head-to-head say?
Across the last 1 meetings: 0 Makedonija GjP win(s), 1 draw(s), 0 Sileks win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 27, 2016 | Sileks 1-1 Makedonija GjP | First League |
Last archived meeting: Sileks vs Makedonija GjP on Aug 27, 2016
How many goals should we expect?
Makedonija GjP score 0.8 and concede 1.8 goals per match over their last 12; Sileks score 1.0 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Makedonija GjP | 0.8 | 1.8 | 0 | 6/12 | 7/12 |
| Sileks | 1.0 | 1.4 | 4 | 10/14 | 7/14 |
Over the last 12 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Sileks | 3 | 2 | 1 | 0 | 10 | 1 | 7 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy