Shkendija vs Renova: result 1-1 and analysis
First LeagueRegular Season - 26Kick-off on April 9, 2017 at 02:00 PM (UTC)Ecolog Arena, Tetovo
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What was the result of Shkendija vs Renova?
Shkendija and Renova drew 1-1 on April 9, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Shkendija have 9 wins, 3 draws and 3 defeats; Renova have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 5, 2017 | FK Rabotnicki(away) | 0-1 | First League |
| Apr 2, 2017 | Makedonija GjP(home) | 5-1 | First League |
| Mar 18, 2017 | Bregalnica Štip(away) | 3-1 | First League |
| Mar 12, 2017 | Pobeda(home) | 4-0 | First League |
| Mar 5, 2017 | Shkupi 1927(home) | 0-0 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 5, 2017 | Vardar Skopje(home) | 0-1 | First League |
| Apr 2, 2017 | Sileks(away) | 0-3 | First League |
| Mar 18, 2017 | Pelister(home) | 2-1 | First League |
| Mar 12, 2017 | Shkupi 1927(away) | 2-3 | First League |
| Mar 4, 2017 | FK Rabotnicki(away) | 0-0 | First League |
What does the head-to-head say?
Across the last 2 meetings: 1 Shkendija win, 1 draw, 0 Renova wins.
| Date | Score | Competition |
|---|---|---|
| Nov 30, 2016 | Renova 1-2 Shkendija | First League |
| Sep 28, 2016 | Shkendija 1-1 Renova | First League |
How many goals should we expect?
Shkendija score 2.1 and concede 0.9 goals per match over their last 15; Renova score 1.0 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Shkendija | 2.1 | 0.9 | 6 | 7/15 | 9/15 |
| Renova | 1.0 | 1.3 | 4 | 7/15 | 7/15 |
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 | 10 | 7 | 2 | 1 | 24 | 10 | 23 |
A question about Shkendija 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