Skopje vs Struga: result 1-0 and analysis
Second LeagueWest - 26Kick-off on May 18, 2019 at 02:30 PM (UTC)Stadion Železarnica, Skopje
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What was the result of Skopje vs Struga?
Skopje won 1-0 on May 18, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Skopje have 5 wins, 5 draws and 5 defeats; Struga have 8, 6 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 11, 2019 | Labunishta(away) | 1-2 | Second League |
| May 4, 2019 | Velazerimi 77(home) | 1-0 | Second League |
| Apr 27, 2019 | KF Gostivari(home) | 5-1 | Second League |
| Apr 20, 2019 | Pelister(away) | 0-2 | Second League |
| Apr 13, 2019 | Teteks(home) | 1-1 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 11, 2019 | KF Gostivari(home) | 0-0 | Second League |
| May 4, 2019 | Pelister(away) | 1-1 | Second League |
| Apr 26, 2019 | Teteks(home) | 1-0 | Second League |
| Apr 19, 2019 | Gench Kalemler(away) | 1-0 | Second League |
| Apr 13, 2019 | Goblen Junior Kumanovo(home) | 6-0 | Second League |
What does the head-to-head say?
Across the last 2 meetings: 0 Skopje wins, 1 draw, 1 Struga win.
| Date | Score | Competition |
|---|---|---|
| Mar 23, 2019 | Struga 0-0 Skopje | Second League |
| Oct 7, 2018 | Skopje 0-1 Struga | Second League |
How many goals should we expect?
Skopje score 1.2 and concede 1.1 goals per match over their last 15; Struga score 1.5 and concede 0.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skopje | 1.2 | 1.1 | 3 | 9/15 | 6/15 |
| Struga | 1.5 | 0.4 | 10 | 5/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Skopje | 30 | 23 | 2 | 5 | 73 | 20 | 71 |
A question about Skopje vs Struga?
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