Pobeda vs Renova: prediction and stats
First LeagueRegular Season - 4Kick-off on August 28, 2022 at 12:00 AM (UTC)Stadion Goce Delčev, Prilep
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pobeda have 7 wins, 2 draws and 6 defeats; Renova have 5, 6 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 20, 2022 | Makedonija GjP(away) | 1-4 | First League |
| Aug 14, 2022 | Tikveš(home) | 0-1 | First League |
| Aug 6, 2022 | Struga(away) | 0-3 | First League |
| Jul 27, 2022 | Egnatia Rrogozhinë(home) | 2-2 | Friendlies Clubs |
| Jul 23, 2022 | Struga(home) | 0-2 | Friendlies Clubs |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 15, 2022 | Borec(away) | 5-1 | First League |
| May 8, 2022 | Skopje(home) | 2-0 | First League |
| May 4, 2022 | Tikveš(away) | 1-0 | First League |
| May 1, 2022 | Struga(home) | 1-1 | First League |
| Apr 23, 2022 | Shkupi 1927(away) | 0-2 | First League |
What does the head-to-head say?
Across the last 6 meetings: 2 Pobeda wins, 0 draws, 4 Renova wins.
| Date | Score | Competition |
|---|---|---|
| May 4, 2019 | Renova 9-1 Pobeda | First League |
| Mar 16, 2019 | Pobeda 2-3 Renova | First League |
| Nov 10, 2018 | Renova 2-1 Pobeda | First League |
| Sep 16, 2018 | Pobeda 1-0 Renova | First League |
| May 20, 2018 | Pobeda 1-0 Renova | First League |
| Apr 15, 2018 | Renova 2-1 Pobeda | First League |
How many goals should we expect?
Pobeda score 1.5 and concede 1.3 goals per match over their last 15; Renova score 1.1 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pobeda | 1.5 | 1.3 | 4 | 6/15 | 9/15 |
| Renova | 1.1 | 0.9 | 4 | 7/15 | 4/15 |
Over the last 15 matches in all competitions.
A question about Pobeda 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