Junak vs Sloga Mravince: result 4-1 and analysis
Third NL - JugSouth - 9Kick-off on October 19, 2019 at 01:00 PM (UTC)Gradski Stadion, Sinj
Full time
What was the result of Junak vs Sloga Mravince?
Junak won 4-1 on October 19, 2019.
What is the recent form of both teams?
Over their last 8 matches in all competitions, Junak have 5 wins, 2 draws and 1 defeat; Sloga Mravince have 6, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 12, 2019 | Primorac Biograd(away) | 1-1 | Third NL - Jug |
| Oct 5, 2019 | GOŠK Dubrovnik(home) | 1-0 | Third NL - Jug |
| Sep 29, 2019 | RNK Split(away) | 0-2 | Third NL - Jug |
| Sep 21, 2019 | Neretva Metković(home) | 3-1 | Third NL - Jug |
| Sep 18, 2019 | Kamen Ivanbegovina(away) | 2-2 | Third NL - Jug |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 12, 2019 | Vodice(home) | 4-0 | Third NL - Jug |
| Oct 6, 2019 | Urania Baška Voda(away) | 0-2 | Third NL - Jug |
| Sep 29, 2019 | Zagora(home) | 1-0 | Third NL - Jug |
| Sep 22, 2019 | Neretvanac Opuzen(away) | 3-2 | Third NL - Jug |
| Sep 18, 2019 | NK Zadar(home) | 1-1 | Third NL - Jug |
How many goals should we expect?
Junak score 1.5 and concede 0.8 goals per match over their last 8; Sloga Mravince score 1.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Junak | 1.5 | 0.8 | 4 | 3/8 | 3/8 |
| Sloga Mravince | 1.9 | 1.3 | 2 | 6/10 | 6/10 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
Junak sit 5th in Third NL - Jug (42 points from 30 matches) and Sloga Mravince sit 4th (48 points from 30 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Sloga Mravince | 30 | 13 | 9 | 8 | 50 | 39 | 48 |
| 5 | Junak | 30 | 12 | 6 | 12 | 43 | 40 | 42 |
A question about Junak vs Sloga Mravince?
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy