Bezanija vs Macva: result 2-0 and analysis
Prva LigaRegular Season - 14Kick-off on November 13, 2016 at 12:00 PM (UTC)Stadion kraj Bežanijske crkve, Beograd
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What was the result of Bezanija vs Macva?
Bezanija won 2-0 on November 13, 2016.
What is the recent form of both teams?
Over their last 13 matches in all competitions, Bezanija have 2 wins, 7 draws and 4 defeats; Macva have 11, 1 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 5, 2016 | Indjija(home) | 0-0 | Prva Liga |
| Oct 30, 2016 | Dinamo Vranje(away) | 0-1 | Prva Liga |
| Oct 22, 2016 | Jagodina(home) | 1-0 | Prva Liga |
| Oct 15, 2016 | Buducnost Dobanovci(away) | 0-1 | Prva Liga |
| Oct 10, 2016 | OFK Beograd(home) | 0-0 | Prva Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 5, 2016 | Dinamo Vranje(home) | 2-1 | Prva Liga |
| Oct 30, 2016 | Jagodina(away) | 2-0 | Prva Liga |
| Oct 22, 2016 | Buducnost Dobanovci(home) | 2-1 | Prva Liga |
| Oct 15, 2016 | OFK Beograd(away) | 1-0 | Prva Liga |
| Oct 8, 2016 | Sindjelic Beograd(home) | 3-0 | Prva Liga |
How many goals should we expect?
Bezanija score 0.4 and concede 0.5 goals per match over their last 13; Macva score 1.6 and concede 0.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bezanija | 0.4 | 0.5 | 7 | 3/13 | 1/13 |
| Macva | 1.6 | 0.4 | 8 | 4/13 | 6/13 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Macva | 35 | 19 | 9 | 7 | 47 | 29 | 66 |
A question about Bezanija vs Macva?
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