Javor vs Bezanija: result 3-1 and analysis
Prva LigaChampionship Round - 5Kick-off on April 27, 2019 at 05:00 PM (UTC)Stadion Ivanjica, Ivanjica
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What was the result of Javor vs Bezanija?
Javor won 3-1 on April 27, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Javor have 11 wins, 2 draws and 2 defeats; Bezanija have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 20, 2019 | Sindjelic Beograd(away) | 3-1 | Prva Liga |
| Apr 14, 2019 | FK Zlatibor(home) | 4-1 | Prva Liga |
| Apr 10, 2019 | Indjija(home) | 3-1 | Prva Liga |
| Apr 6, 2019 | TSC Backa Topola(away) | 2-4 | Prva Liga |
| Apr 1, 2019 | Indjija(away) | 1-1 | Prva Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 20, 2019 | TSC Backa Topola(home) | 2-3 | Prva Liga |
| Apr 14, 2019 | Radnicki 1923(away) | 0-0 | Prva Liga |
| Apr 10, 2019 | Metalac GM(away) | 0-2 | Prva Liga |
| Apr 6, 2019 | Sindjelic Beograd(home) | 2-2 | Prva Liga |
| Mar 31, 2019 | FK Becej(home) | 1-0 | Prva Liga |
What does the head-to-head say?
Across the last 2 meetings: 2 Javor wins, 0 draws, 0 Bezanija wins.
| Date | Score | Competition |
|---|---|---|
| Mar 10, 2019 | Bezanija 1-2 Javor | Prva Liga |
| Oct 12, 2018 | Javor 4-1 Bezanija | Prva Liga |
How many goals should we expect?
Javor score 2.3 and concede 1.1 goals per match over their last 15; Bezanija score 1.3 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Javor | 2.3 | 1.1 | 4 | 10/15 | 9/15 |
| Bezanija | 1.3 | 1.5 | 5 | 6/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Javor | 14 | 7 | 6 | 1 | 33 | 15 | 27 |
A question about Javor vs Bezanija?
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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