Belasica vs Renova: result 3-2 and analysis
First LeagueRegular Season - 33Kick-off on May 8, 2019 at 02:30 PM (UTC)Stadion Blagoj Istatov, Strumica
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What was the result of Belasica vs Renova?
Belasica won 3-2 on May 8, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Belasica have 4 wins, 5 draws and 6 defeats; Renova have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 4, 2019 | Makedonija GjP(home) | 3-1 | First League |
| Apr 27, 2019 | Vardar Skopje(away) | 1-1 | First League |
| Apr 24, 2019 | Shkendija(home) | 2-1 | First League |
| Apr 20, 2019 | Akademija Pandev(away) | 2-0 | First League |
| Apr 14, 2019 | Pobeda(home) | 1-1 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 4, 2019 | Pobeda(home) | 9-1 | First League |
| Apr 27, 2019 | Makedonija GjP(away) | 1-3 | First League |
| Apr 24, 2019 | Sileks(home) | 1-0 | First League |
| Apr 20, 2019 | Vardar Skopje(away) | 0-2 | First League |
| Apr 14, 2019 | FK Rabotnicki(home) | 1-2 | First League |
What does the head-to-head say?
Across the last 3 meetings: 2 Belasica wins, 0 draws, 1 Renova win.
| Date | Score | Competition |
|---|---|---|
| Mar 28, 2019 | Renova 3-2 Belasica | First League |
| Nov 22, 2018 | Belasica 3-1 Renova | First League |
| Sep 23, 2018 | Renova 0-2 Belasica | First League |
How many goals should we expect?
Belasica score 1.1 and concede 1.1 goals per match over their last 15; Renova score 1.7 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Belasica | 1.1 | 1.1 | 3 | 8/15 | 5/15 |
| Renova | 1.7 | 1.3 | 5 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Belasica 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