Pelister vs Renova: result 1-0 and analysis
First LeagueRegular Season - 14Kick-off on November 16, 2016 at 12:00 PM (UTC)Stadion Petar Miloševski, Bitola
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What was the result of Pelister vs Renova?
Pelister won 1-0 on November 16, 2016.
What is the recent form of both teams?
Over their last 13 matches in all competitions, Pelister have 6 wins, 4 draws and 3 defeats; Renova have 4, 7 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Oct 16, 2016 | Pobeda(home) | 2-0 | First League |
| Oct 2, 2016 | Shkendija(home) | 1-2 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 5, 2016 | Shkupi 1927(home) | 1-0 | First League |
| Oct 30, 2016 | FK Rabotnicki(home) | 1-1 | First League |
| Oct 23, 2016 | Makedonija GjP(away) | 1-2 | First League |
| Oct 16, 2016 | Bregalnica Štip(home) | 1-0 | First League |
| Oct 2, 2016 | Pobeda(home) | 1-1 | First League |
What does the head-to-head say?
In the last meeting: 0 Pelister wins, 0 draws, 1 Renova win.
| Date | Score | Competition |
|---|---|---|
| Sep 11, 2016 | Renova 2-0 Pelister | First League |
How many goals should we expect?
Pelister score 1.3 and concede 0.7 goals per match over their last 13; Renova score 0.7 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pelister | 1.3 | 0.7 | 8 | 4/13 | 5/13 |
| Renova | 0.7 | 0.8 | 7 | 6/15 | 2/15 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Pelister | 33 | 10 | 10 | 13 | 41 | 42 | 40 |
A question about Pelister 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