Sileks vs Pelister: result 0-0 and analysis
First LeagueRegular Season - 16Kick-off on November 27, 2016 at 12:00 PM (UTC)Gradski stadion Kratovo, Kratovo
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What was the result of Sileks vs Pelister?
Sileks and Pelister drew 0-0 on November 27, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sileks have 4 wins, 7 draws and 4 defeats; Pelister have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 20, 2016 | Renova(away) | 2-2 | First League |
| Nov 16, 2016 | FK Rabotnicki(home) | 2-1 | First League |
| Nov 5, 2016 | Makedonija GjP(away) | 1-1 | First League |
| Oct 30, 2016 | Bregalnica Štip(home) | 1-0 | First League |
| Oct 23, 2016 | Pobeda(away) | 1-1 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 20, 2016 | Shkupi 1927(home) | 2-0 | First League |
| Nov 16, 2016 | Renova(home) | 1-0 | First League |
| Nov 5, 2016 | FK Rabotnicki(away) | 1-0 | First League |
| Oct 30, 2016 | Makedonija GjP(home) | 1-0 | First League |
| Oct 23, 2016 | Bregalnica Štip(away) | 0-0 | First League |
What does the head-to-head say?
In the last meeting: 0 Sileks wins, 1 draw, 0 Pelister wins.
| Date | Score | Competition |
|---|---|---|
| Sep 25, 2016 | Pelister 0-0 Sileks | First League |
How many goals should we expect?
Sileks score 1.1 and concede 1.3 goals per match over their last 15; Pelister score 1.3 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sileks | 1.1 | 1.3 | 4 | 11/15 | 7/15 |
| Pelister | 1.3 | 0.6 | 10 | 4/15 | 5/15 |
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 Sileks vs Pelister?
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