Skopje vs Renova: result 1-1 and analysis
First LeagueRegular Season - 21Kick-off on February 25, 2018 at 01:00 PM (UTC)Stadion Železarnica, Skopje
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What was the result of Skopje vs Renova?
Skopje and Renova drew 1-1 on February 25, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Skopje have 1 win, 6 draws and 8 defeats; Renova have 3, 6 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 18, 2018 | Akademija Pandev(away) | 0-0 | First League |
| Dec 3, 2017 | FK Rabotnicki(away) | 0-3 | First League |
| Nov 26, 2017 | Pobeda(home) | 0-1 | First League |
| Nov 22, 2017 | Shkupi 1927(home) | 0-0 | First League |
| Nov 19, 2017 | Shkendija(away) | 0-4 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 17, 2018 | Sileks(home) | 0-0 | First League |
| Feb 14, 2018 | FK Rabotnicki(away) | 0-0 | First League |
| Dec 3, 2017 | Pobeda(away) | 1-1 | First League |
| Nov 25, 2017 | Shkendija(home) | 1-6 | First League |
| Nov 19, 2017 | Shkupi 1927(away) | 1-4 | First League |
What does the head-to-head say?
Across the last 2 meetings: 0 Skopje wins, 1 draw, 1 Renova win.
| Date | Score | Competition |
|---|---|---|
| Oct 25, 2017 | Renova 5-1 Skopje | First League |
| Aug 26, 2017 | Skopje 0-0 Renova | First League |
How many goals should we expect?
Skopje score 0.5 and concede 1.7 goals per match over their last 15; Renova score 1.2 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Skopje | 0.5 | 1.7 | 4 | 6/15 | 6/15 |
| Renova | 1.2 | 1.7 | 5 | 9/15 | 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 | Skopje | 9 | 0 | 3 | 6 | 4 | 14 | 3 |
A question about Skopje vs Renova?
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