Neretvanac Opuzen vs Kamen Ivanbegovina: result 4-3 and analysis
Third NL - JugSouth - 11Kick-off on November 3, 2019 at 01:00 PM (UTC)Stadion Podvornica, Opuzen
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What was the result of Neretvanac Opuzen vs Kamen Ivanbegovina?
Neretvanac Opuzen won 4-3 on November 3, 2019.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Neretvanac Opuzen have 1 wins, 4 draws and 5 defeats; Kamen Ivanbegovina have 3, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2019 | NK Zadar(away) | 1-2 | Third NL - Jug |
| Oct 20, 2019 | Uskok Klis(home) | 3-0 | Third NL - Jug |
| Oct 12, 2019 | Jadran LP(away) | 0-4 | Third NL - Jug |
| Oct 6, 2019 | Hrvace(home) | 2-2 | Third NL - Jug |
| Sep 29, 2019 | Zmaj Blato(away) | 3-4 | Third NL - Jug |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2019 | GOŠK Dubrovnik(home) | 0-0 | Third NL - Jug |
| Oct 19, 2019 | NK Zadar(away) | 1-2 | Third NL - Jug |
| Oct 12, 2019 | RNK Split(home) | 0-3 | Third NL - Jug |
| Oct 5, 2019 | Uskok Klis(away) | 1-1 | Third NL - Jug |
| Sep 29, 2019 | Neretva Metković(home) | 3-2 | Third NL - Jug |
How many goals should we expect?
Neretvanac Opuzen score 1.8 and concede 2.3 goals per match over their last 10; Kamen Ivanbegovina score 1.7 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Neretvanac Opuzen | 1.8 | 2.3 | 1 | 8/10 | 8/10 |
| Kamen Ivanbegovina | 1.7 | 1.7 | 2 | 7/10 | 7/10 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
Neretvanac Opuzen sit 15th in Third NL - Jug (33 points from 30 matches) and Kamen Ivanbegovina sit 16th (30 points from 30 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | Neretvanac Opuzen | 30 | 9 | 6 | 15 | 34 | 47 | 33 |
| 16 | Kamen Ivanbegovina | 30 | 8 | 6 | 16 | 30 | 61 | 30 |
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