Pobeda vs Shkendija: result 1-2 and analysis
First LeagueRegular Season - 13Kick-off on November 5, 2016 at 12:30 PM (UTC)Stadion Goce Delčev, Prilep
Full time
What was the result of Pobeda vs Shkendija?
Shkendija won 1-2 on November 5, 2016.
What is the recent form of both teams?
Over their last 12 matches in all competitions, Pobeda have 2 wins, 4 draws and 6 defeats; Shkendija have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 30, 2016 | Vardar Skopje(away) | 1-2 | First League |
| Oct 23, 2016 | Sileks(home) | 1-1 | First League |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 30, 2016 | Shkupi 1927(away) | 0-0 | First League |
| Oct 26, 2016 | Shkupi 1927(home) | 0-1 | First League |
| Oct 23, 2016 | Vardar Skopje(home) | 0-2 | First League |
| Oct 16, 2016 | Sileks(away) | 3-1 | First League |
| Oct 2, 2016 | Pelister(away) | 2-1 | First League |
What does the head-to-head say?
In the last meeting: 0 Pobeda wins, 0 draws, 1 Shkendija win.
| Date | Score | Competition |
|---|---|---|
| Aug 28, 2016 | Shkendija 3-1 Pobeda | First League |
How many goals should we expect?
Pobeda score 0.8 and concede 1.4 goals per match over their last 12; Shkendija score 1.3 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pobeda | 0.8 | 1.4 | 1 | 8/12 | 5/12 |
| Shkendija | 1.3 | 1.3 | 2 | 8/15 | 9/15 |
Over the last 12 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Shkendija | 9 | 6 | 2 | 1 | 21 | 9 | 20 |
A question about Pobeda vs Shkendija?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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