Pobeda vs Sileks: result 1-0 and analysis
First LeagueRegular Season - 29Kick-off on April 26, 2017 at 02:00 PM (UTC)Stadion Goce Delčev, Prilep
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What was the result of Pobeda vs Sileks?
Pobeda won 1-0 on April 26, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pobeda have 2 wins, 7 draws and 6 defeats; Sileks 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 |
|---|---|---|---|
| Apr 23, 2017 | Pelister(away) | 0-1 | First League |
| Apr 15, 2017 | Renova(away) | 0-1 | First League |
| Apr 9, 2017 | FK Rabotnicki(home) | 0-0 | First League |
| Apr 5, 2017 | Makedonija GjP(away) | 0-0 | First League |
| Apr 2, 2017 | Bregalnica Štip(home) | 0-0 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 23, 2017 | Shkendija(home) | 1-1 | First League |
| Apr 15, 2017 | Vardar Skopje(home) | 0-1 | First League |
| Apr 9, 2017 | Shkupi 1927(away) | 1-3 | First League |
| Apr 5, 2017 | Pelister(away) | 0-0 | First League |
| Apr 2, 2017 | Renova(home) | 3-0 | First League |
What does the head-to-head say?
Across the last 3 meetings: 0 Pobeda wins, 1 draw, 2 Sileks wins.
| Date | Score | Competition |
|---|---|---|
| Feb 26, 2017 | Sileks 2-0 Pobeda | First League |
| Oct 23, 2016 | Pobeda 1-1 Sileks | First League |
| Aug 14, 2016 | Sileks 2-1 Pobeda | First League |
How many goals should we expect?
Pobeda score 0.7 and concede 1.3 goals per match over their last 15; Sileks score 1.3 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pobeda | 0.7 | 1.3 | 4 | 6/15 | 5/15 |
| Sileks | 1.3 | 1.2 | 5 | 7/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Sileks | 10 | 3 | 4 | 3 | 17 | 11 | 13 |
A question about Pobeda vs Sileks?
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