Sileks vs Struga: result 1-0 and analysis
First LeagueRegular Season - 12Kick-off on October 27, 2019 at 11:30 AM (UTC)Gradski stadion Kratovo, Kratovo
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What was the result of Sileks vs Struga?
Sileks won 1-0 on October 27, 2019.
Goalscorers
- 64′I. IvanovskiSileks
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sileks have 6 wins, 1 draws and 8 defeats; Struga have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2019 | Shkendija(away) | 0-3 | First League |
| Oct 19, 2019 | Renova(home) | 3-0 | First League |
| Oct 5, 2019 | Akademija Pandev(away) | 0-2 | First League |
| Sep 29, 2019 | FK Rabotnicki(home) | 1-0 | First League |
| Sep 22, 2019 | Vardar Skopje(away) | 0-3 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2019 | Renova(home) | 1-0 | First League |
| Oct 19, 2019 | FK Rabotnicki(away) | 2-1 | First League |
| Oct 5, 2019 | Borec(away) | 2-3 | First League |
| Sep 29, 2019 | Makedonija GjP(home) | 0-2 | First League |
| Sep 22, 2019 | Shkendija(away) | 0-2 | First League |
What does the head-to-head say?
Across the last 1 meetings: 0 Sileks win(s), 0 draw(s), 1 Struga win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 25, 2019 | Struga 2-1 Sileks | First League |
How many goals should we expect?
Sileks score 1.0 and concede 1.3 goals per match over their last 15; Struga score 1.2 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sileks | 1.0 | 1.3 | 6 | 3/15 | 7/15 |
| Struga | 1.2 | 1.3 | 3 | 8/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Sileks sit 2nd in First League (7 points from 3 matches) and Struga sit 4th (7 points from 3 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Sileks | 3 | 2 | 1 | 0 | 10 | 1 | 7 |
| 4 | Struga | 3 | 2 | 1 | 0 | 5 | 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