Renova vs Shkendija: result 1-2 and analysis
First LeagueRegular Season - 17Kick-off on November 30, 2016 at 12:00 PM (UTC)Ecolog Arena, Tetovo
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What was the result of Renova vs Shkendija?
Shkendija won 1-2 on November 30, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Renova have 4 wins, 7 draws and 4 defeats; Shkendija have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 27, 2016 | Vardar Skopje(away) | 0-1 | First League |
| Nov 20, 2016 | Sileks(home) | 2-2 | First League |
| Nov 16, 2016 | Pelister(away) | 0-1 | First League |
| Nov 5, 2016 | Shkupi 1927(home) | 1-0 | First League |
| Oct 30, 2016 | FK Rabotnicki(home) | 1-1 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 27, 2016 | FK Rabotnicki(home) | 2-2 | First League |
| Nov 20, 2016 | Makedonija GjP(away) | 4-0 | First League |
| Nov 16, 2016 | Bregalnica Štip(home) | 5-2 | First League |
| Nov 5, 2016 | Pobeda(away) | 2-1 | First League |
| Oct 30, 2016 | Shkupi 1927(away) | 0-0 | First League |
What does the head-to-head say?
In the last meeting: 0 Renova wins, 1 draw, 0 Shkendija wins.
| Date | Score | Competition |
|---|---|---|
| Sep 28, 2016 | Shkendija 1-1 Renova | First League |
How many goals should we expect?
Renova score 0.7 and concede 0.7 goals per match over their last 15; Shkendija score 1.9 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Renova | 0.7 | 0.7 | 7 | 5/15 | 2/15 |
| Shkendija | 1.9 | 1.2 | 3 | 9/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Shkendija | 9 | 6 | 2 | 1 | 21 | 9 | 20 |
A question about Renova vs Shkendija?
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