Pobeda vs Sileks: result 1-1 and analysis
First LeagueRegular Season - 11Kick-off on October 23, 2016 at 12:30 PM (UTC)Stadion Goce Delčev, Prilep
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What was the result of Pobeda vs Sileks?
Pobeda and Sileks drew 1-1 on October 23, 2016.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Pobeda have 2 wins, 3 draws and 5 defeats; Sileks have 2, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 16, 2016 | Pelister(away) | 0-2 | First League |
| Oct 2, 2016 | Renova(away) | 1-1 | First League |
| Sep 28, 2016 | FK Rabotnicki(home) | 2-1 | First League |
| Sep 25, 2016 | Makedonija GjP(away) | 1-1 | First League |
| Sep 18, 2016 | Bregalnica Štip(home) | 0-0 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 16, 2016 | Shkendija(home) | 1-3 | First League |
| Oct 2, 2016 | Vardar Skopje(home) | 1-3 | First League |
| Sep 28, 2016 | Shkupi 1927(away) | 1-1 | First League |
| Sep 25, 2016 | Pelister(away) | 0-0 | First League |
| Sep 18, 2016 | Renova(home) | 0-0 | First League |
What does the head-to-head say?
In the last meeting: 0 Pobeda wins, 0 draws, 1 Sileks win.
| Date | Score | Competition |
|---|---|---|
| Aug 14, 2016 | Sileks 2-1 Pobeda | First League |
How many goals should we expect?
Pobeda score 0.8 and concede 1.4 goals per match over their last 10; Sileks score 1.0 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pobeda | 0.8 | 1.4 | 1 | 6/10 | 4/10 |
| Sileks | 1.0 | 1.6 | 3 | 9/12 | 7/12 |
Over the last 10 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