Makedonija GjP vs Renova: result 2-1 and analysis
First LeagueRegular Season - 11Kick-off on October 23, 2016 at 12:30 PM (UTC)Stadion Gorče Petrov, Skopje
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What was the result of Makedonija GjP vs Renova?
Makedonija GjP won 2-1 on October 23, 2016.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Makedonija GjP have 1 wins, 3 draws and 6 defeats; Renova have 3, 6 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 15, 2016 | FK Rabotnicki(away) | 1-2 | First League |
| Oct 2, 2016 | Shkupi 1927(home) | 0-1 | First League |
| Sep 28, 2016 | Bregalnica Štip(away) | 2-1 | First League |
| Sep 25, 2016 | Pobeda(home) | 1-1 | First League |
| Sep 18, 2016 | Shkendija(away) | 0-3 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 16, 2016 | Bregalnica Štip(home) | 1-0 | First League |
| Oct 2, 2016 | Pobeda(home) | 1-1 | First League |
| Sep 28, 2016 | Shkendija(away) | 1-1 | First League |
| Sep 25, 2016 | Vardar Skopje(home) | 0-0 | First League |
| Sep 18, 2016 | Sileks(away) | 0-0 | First League |
What does the head-to-head say?
Across the last 1 meetings: 0 Makedonija GjP win(s), 0 draw(s), 1 Renova win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 14, 2016 | Renova 1-0 Makedonija GjP | First League |
Last archived meeting: Renova vs Makedonija GjP on Aug 14, 2016
How many goals should we expect?
Makedonija GjP score 0.7 and concede 2.0 goals per match over their last 10; Renova score 0.7 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Makedonija GjP | 0.7 | 2.0 | 0 | 5/10 | 6/10 |
| Renova | 0.7 | 0.8 | 6 | 4/12 | 1/12 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Makedonija GjP | 33 | 9 | 7 | 17 | 42 | 57 | 34 |
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