Renova vs Skopje: result 5-1 and analysis
First LeagueRegular Season - 12Kick-off on October 25, 2017 at 12:30 PM (UTC)Ecolog Arena, Tetovo
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What was the result of Renova vs Skopje?
Renova won 5-1 on October 25, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Renova have 4 wins, 6 draws and 5 defeats; Skopje have 0, 6 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 22, 2017 | Sileks(away) | 0-0 | First League |
| Oct 14, 2017 | FK Rabotnicki(home) | 3-1 | First League |
| Sep 30, 2017 | Pobeda(home) | 0-0 | First League |
| Sep 27, 2017 | Shkendija(away) | 0-2 | First League |
| Sep 23, 2017 | Shkupi 1927(home) | 0-0 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 22, 2017 | Akademija Pandev(home) | 1-1 | First League |
| Oct 14, 2017 | Sileks(home) | 1-1 | First League |
| Sep 30, 2017 | FK Rabotnicki(home) | 0-0 | First League |
| Sep 27, 2017 | Pobeda(away) | 2-4 | First League |
| Sep 24, 2017 | Shkendija(home) | 1-2 | First League |
What does the head-to-head say?
In the last meeting: 0 Renova wins, 1 draw, 0 Skopje wins.
| Date | Score | Competition |
|---|---|---|
| Aug 26, 2017 | Skopje 0-0 Renova | First League |
How many goals should we expect?
Renova score 0.9 and concede 1.0 goals per match over their last 15; Skopje score 0.5 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Renova | 0.9 | 1.0 | 8 | 3/15 | 5/15 |
| Skopje | 0.5 | 1.2 | 3 | 5/11 | 2/11 |
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 Renova vs Skopje?
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