Kamen Ivanbegovina vs GOŠK Dubrovnik: result 0-0 and analysis
Third NL - JugSouth - 10Kick-off on October 27, 2019 at 01:00 PM (UTC)Igralište NK Kamen, Ivanbegovina
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What was the result of Kamen Ivanbegovina vs GOŠK Dubrovnik?
Kamen Ivanbegovina and GOŠK Dubrovnik drew 0-0 on October 27, 2019.
What is the recent form of both teams?
Over their last 9 matches in all competitions, Kamen Ivanbegovina have 3 wins, 3 draws and 3 defeats; GOŠK Dubrovnik have 2, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Sep 21, 2019 | Jadran LP(away) | 2-2 | Third NL - Jug |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 19, 2019 | RNK Split(away) | 2-4 | Third NL - Jug |
| Oct 12, 2019 | Neretva Metković(home) | 2-1 | Third NL - Jug |
| Oct 5, 2019 | Junak(away) | 0-1 | Third NL - Jug |
| Sep 28, 2019 | Vodice(home) | 1-1 | Third NL - Jug |
| Sep 22, 2019 | Urania Baška Voda(away) | 1-3 | Third NL - Jug |
How many goals should we expect?
Kamen Ivanbegovina score 1.9 and concede 1.9 goals per match over their last 9; GOŠK Dubrovnik score 1.1 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kamen Ivanbegovina | 1.9 | 1.9 | 1 | 7/9 | 7/9 |
| GOŠK Dubrovnik | 1.1 | 1.6 | 1 | 7/10 | 5/10 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
Kamen Ivanbegovina sit 16th in Third NL - Jug (30 points from 30 matches) and GOŠK Dubrovnik sit 11th (35 points from 30 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | GOŠK Dubrovnik | 30 | 8 | 11 | 11 | 40 | 42 | 35 |
| 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