Renova vs Akademija Pandev: result 3-1 and analysis
First LeagueRegular Season - 13Kick-off on October 28, 2017 at 11:30 AM (UTC)Ecolog Arena, Tetovo
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What was the result of Renova vs Akademija Pandev?
Renova won 3-1 on October 28, 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; Akademija Pandev have 6, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 25, 2017 | Skopje(home) | 5-1 | First League |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 25, 2017 | Shkendija(home) | 3-2 | First League |
| Oct 22, 2017 | Skopje(away) | 1-1 | First League |
| Oct 14, 2017 | Shkupi 1927(home) | 2-0 | First League |
| Sep 30, 2017 | Sileks(away) | 0-1 | First League |
| Sep 24, 2017 | FK Rabotnicki(away) | 2-1 | First League |
What does the head-to-head say?
Across the last 1 meetings: 0 Renova win(s), 0 draw(s), 1 Akademija Pandev win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 10, 2017 | Akademija Pandev 1-0 Renova | First League |
Last archived meeting: Akademija Pandev vs Renova on Sep 10, 2017
How many goals should we expect?
Renova score 1.1 and concede 1.1 goals per match over their last 15; Akademija Pandev score 1.5 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Renova | 1.1 | 1.1 | 7 | 4/15 | 6/15 |
| Akademija Pandev | 1.5 | 0.9 | 4 | 6/11 | 4/11 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Akademija Pandev | 33 | 10 | 10 | 13 | 46 | 56 | 40 |
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