Neretva Metković vs Primorac Biograd: result 1-3 and analysis
Third NL - JugSouth - 9Kick-off on October 20, 2019 at 01:00 PM (UTC)Igralište Iza Vage, Metković
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What was the result of Neretva Metković vs Primorac Biograd?
Primorac Biograd won 1-3 on October 20, 2019.
What is the recent form of both teams?
Over their last 8 matches in all competitions, Neretva Metković have 1 wins, 2 draws and 5 defeats; Primorac Biograd have 4, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 12, 2019 | GOŠK Dubrovnik(away) | 1-2 | Third NL - Jug |
| Oct 5, 2019 | RNK Split(home) | 1-1 | Third NL - Jug |
| Sep 29, 2019 | Kamen Ivanbegovina(away) | 2-3 | Third NL - Jug |
| Sep 21, 2019 | Junak(away) | 1-3 | Third NL - Jug |
| Sep 18, 2019 | Vodice(home) | 3-1 | Third NL - Jug |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 12, 2019 | Junak(home) | 1-1 | Third NL - Jug |
| Oct 5, 2019 | Vodice(away) | 4-2 | Third NL - Jug |
| Sep 28, 2019 | Urania Baška Voda(home) | 1-4 | Third NL - Jug |
| Sep 21, 2019 | Zagora(away) | 2-0 | Third NL - Jug |
| Sep 18, 2019 | Neretvanac Opuzen(home) | 3-3 | Third NL - Jug |
How many goals should we expect?
Neretva Metković score 1.3 and concede 1.8 goals per match over their last 8; Primorac Biograd score 1.5 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Neretva Metković | 1.3 | 1.8 | 0 | 7/8 | 5/8 |
| Primorac Biograd | 1.5 | 1.8 | 2 | 7/11 | 7/11 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
Neretva Metković sit 2nd in Third NL - Jug (63 points from 30 matches) and Primorac Biograd sit 9th (37 points from 30 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Neretva Metković | 30 | 19 | 6 | 5 | 58 | 26 | 63 |
| 9 | Primorac Biograd | 30 | 10 | 7 | 13 | 39 | 46 | 37 |
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