Borac Cacak vs Javor: result 2-1 and analysis
Super LigaRegular Season - 16Kick-off on November 4, 2017 at 12:00 PM (UTC)Stadion Borca kraj Morave, Čačak
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What was the result of Borac Cacak vs Javor?
Borac Cacak won 2-1 on November 4, 2017.
Goalscorers
- 38′F. IvanovskiJavor
- 44′Saša FilipovićBorac Cacak
- 45′Mateus LimaBorac Cacak
What is the recent form of both teams?
Over their last 15 matches in all competitions, Borac Cacak have 2 wins, 1 draws and 12 defeats; Javor have 3, 2 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 29, 2017 | FK Partizan(home) | 1-2 | Super Liga |
| Oct 21, 2017 | Macva(away) | 0-1 | Super Liga |
| Oct 15, 2017 | Backa(away) | 0-1 | Super Liga |
| Sep 30, 2017 | Radnik Surdulica(home) | 3-1 | Super Liga |
| Sep 24, 2017 | Cukaricki(away) | 0-2 | Super Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 29, 2017 | Backa(away) | 1-2 | Super Liga |
| Oct 21, 2017 | Radnik Surdulica(home) | 1-0 | Super Liga |
| Oct 14, 2017 | Cukaricki(away) | 0-0 | Super Liga |
| Sep 30, 2017 | RAD(home) | 3-2 | Super Liga |
| Sep 24, 2017 | Radnicki NIS(away) | 0-1 | Super Liga |
What does the head-to-head say?
Across the last 3 meetings: 0 Borac Cacak win(s), 1 draw(s), 2 Javor win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 22, 2017 | Javor 1-0 Borac Cacak | Super Liga |
| Mar 8, 2017 | Javor 2-0 Borac Cacak | Super Liga |
| Sep 25, 2016 | Borac Cacak 1-1 Javor | Super Liga |
How many goals should we expect?
Borac Cacak score 0.7 and concede 1.8 goals per match over their last 15; Javor score 0.6 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Borac Cacak | 0.7 | 1.8 | 1 | 6/15 | 7/15 |
| Javor | 0.6 | 1.5 | 3 | 5/15 | 6/15 |
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 | Javor | 37 | 10 | 12 | 15 | 41 | 54 | 42 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy