Skopje vs Teteks: result 1-1 and analysis
Second LeagueWest - 21Kick-off on April 13, 2019 at 02:00 PM (UTC)Stadion Železarnica, Skopje
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What was the result of Skopje vs Teteks?
Skopje and Teteks drew 1-1 on April 13, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Skopje have 4 wins, 5 draws and 6 defeats; Teteks have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 6, 2019 | Gench Kalemler(away) | 0-1 | Second League |
| Apr 2, 2019 | Goblen Junior Kumanovo(home) | 1-1 | Second League |
| Mar 30, 2019 | Teteks(home) | 3-1 | Second League |
| Mar 23, 2019 | Struga(away) | 0-0 | Second League |
| Mar 17, 2019 | Goblen Junior Kumanovo(home) | 1-3 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 6, 2019 | KF Gostivari(home) | 1-1 | Second League |
| Apr 2, 2019 | Pelister(away) | 1-0 | Second League |
| Mar 30, 2019 | Skopje(away) | 1-3 | Second League |
| Mar 23, 2019 | Korab Debar(home) | 2-1 | Second League |
| Mar 17, 2019 | Labunishta(away) | 0-0 | Second League |
What does the head-to-head say?
Across the last 2 meetings: 2 Skopje win(s), 0 draw(s), 0 Teteks win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 30, 2019 | Skopje 3-1 Teteks | Second League |
| Dec 1, 2018 | Teteks 1-2 Skopje | Second League |
How many goals should we expect?
Skopje score 0.8 and concede 1.0 goals per match over their last 15; Teteks score 0.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skopje | 0.8 | 1.0 | 3 | 7/15 | 5/15 |
| Teteks | 0.9 | 1.3 | 4 | 8/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 10 | Teteks | 1 | 0 | 1 | 0 | 1 | 1 | 1 |
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