Kamen Ivanbegovina vs Sloga Mravince: result 1-0 and analysis
Third NL - JugSouth - 14Kick-off on November 24, 2019 at 12:00 PM (UTC)Igralište NK Kamen, Ivanbegovina
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What was the result of Kamen Ivanbegovina vs Sloga Mravince?
Kamen Ivanbegovina won 1-0 on November 24, 2019.
What is the recent form of both teams?
Over their last 13 matches in all competitions, Kamen Ivanbegovina have 4 wins, 4 draws and 5 defeats; Sloga Mravince have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 21, 2019 | Zagora(away) | 1-4 | Third NL - Jug |
| Nov 19, 2019 | Primorac Biograd(home) | 1-0 | Third NL - Jug |
| Nov 3, 2019 | Neretvanac Opuzen(away) | 3-4 | Third NL - Jug |
| Oct 27, 2019 | GOŠK Dubrovnik(home) | 0-0 | Third NL - Jug |
| Oct 19, 2019 | NK Zadar(away) | 1-2 | Third NL - Jug |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 16, 2019 | Primorac Biograd(away) | 2-1 | Third NL - Jug |
| Nov 10, 2019 | GOŠK Dubrovnik(home) | 0-1 | Third NL - Jug |
| Nov 2, 2019 | RNK Split(away) | 1-3 | Third NL - Jug |
| Oct 27, 2019 | Neretva Metković(home) | 0-0 | Third NL - Jug |
| Oct 19, 2019 | Junak(away) | 1-4 | Third NL - Jug |
How many goals should we expect?
Kamen Ivanbegovina score 1.7 and concede 1.9 goals per match over their last 13; Sloga Mravince score 1.5 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kamen Ivanbegovina | 1.7 | 1.9 | 3 | 9/13 | 9/13 |
| Sloga Mravince | 1.5 | 1.5 | 3 | 9/15 | 9/15 |
Over the last 13 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 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 |
| 16 | Kamen Ivanbegovina | 30 | 8 | 6 | 16 | 30 | 61 | 30 |
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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