Macva vs Radnik Surdulica: result 4-0 and analysis
Super LigaRegular Season - 10Kick-off on September 17, 2017 at 02:00 PM (UTC)Stadion FK Mačva, Šabac
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What was the result of Macva vs Radnik Surdulica?
Macva won 4-0 on September 17, 2017.
Goalscorers
- 25′R. ProtićMacva
- 38′N. GavrićMacva
- 53′N. GavrićMacva
- 72′Mladen LazarevićMacva (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Macva have 7 wins, 0 draws and 8 defeats; Radnik Surdulica have 5, 6 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 13, 2017 | Vojvodina(away) | 0-1 | Super Liga |
| Sep 8, 2017 | Cukaricki(home) | 0-2 | Super Liga |
| Aug 26, 2017 | FK Vozdovac(away) | 2-0 | Super Liga |
| Aug 19, 2017 | RAD(home) | 1-2 | Super Liga |
| Aug 14, 2017 | FK Spartak Zdrepceva KRV(away) | 2-3 | Super Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 13, 2017 | Cukaricki(away) | 2-1 | Super Liga |
| Sep 9, 2017 | RAD(home) | 3-1 | Super Liga |
| Aug 26, 2017 | Radnicki NIS(away) | 2-2 | Super Liga |
| Aug 20, 2017 | Zemun(home) | 0-1 | Super Liga |
| Aug 14, 2017 | Mladost Lucani(away) | 0-0 | Super Liga |
How many goals should we expect?
Macva score 1.6 and concede 1.6 goals per match over their last 15; Radnik Surdulica score 1.2 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Macva | 1.6 | 1.6 | 5 | 7/15 | 9/15 |
| Radnik Surdulica | 1.2 | 1.3 | 4 | 7/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Macva sit 10th in Super Liga (6 points from 6 matches) and Radnik Surdulica sit 7th (8 points from 5 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Radnik Surdulica | 5 | 2 | 2 | 1 | 5 | 4 | 8 |
| 10 | Macva | 6 | 2 | 0 | 4 | 4 | 12 | 6 |
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