Pelister vs Sileks: result 0-0 and analysis
First LeagueRegular Season - 25Kick-off on April 5, 2017 at 02:00 PM (UTC)Stadion Petar Miloševski, Bitola
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What was the result of Pelister vs Sileks?
Pelister and Sileks drew 0-0 on April 5, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pelister have 8 wins, 3 draws and 4 defeats; Sileks have 6, 6 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 2, 2017 | Shkupi 1927(away) | 0-1 | First League |
| Mar 18, 2017 | Renova(away) | 1-2 | First League |
| Mar 12, 2017 | FK Rabotnicki(home) | 0-1 | First League |
| Mar 5, 2017 | Makedonija GjP(away) | 2-1 | First League |
| Feb 25, 2017 | Bregalnica Štip(home) | 2-1 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 2, 2017 | Renova(home) | 3-0 | First League |
| Mar 18, 2017 | FK Rabotnicki(away) | 0-2 | First League |
| Mar 12, 2017 | Makedonija GjP(home) | 4-2 | First League |
| Mar 5, 2017 | Bregalnica Štip(away) | 3-3 | First League |
| Feb 26, 2017 | Pobeda(home) | 2-0 | First League |
What does the head-to-head say?
Across the last 2 meetings: 0 Pelister wins, 2 draws, 0 Sileks wins.
| Date | Score | Competition |
|---|---|---|
| Nov 27, 2016 | Sileks 0-0 Pelister | First League |
| Sep 25, 2016 | Pelister 0-0 Sileks | First League |
How many goals should we expect?
Pelister score 1.2 and concede 0.6 goals per match over their last 15; Sileks score 1.5 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pelister | 1.2 | 0.6 | 8 | 4/15 | 5/15 |
| Sileks | 1.5 | 1.2 | 5 | 8/15 | 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 | 9 | 2 | 4 | 3 | 14 | 11 | 10 |
A question about Pelister 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