Kamen Ivanbegovina vs Junak: result 2-2 and analysis
Third NL - JugSouth - 4Kick-off on September 18, 2019 at 02:30 PM (UTC)Igralište NK Kamen, Ivanbegovina
Full time
What was the result of Kamen Ivanbegovina vs Junak?
Kamen Ivanbegovina and Junak drew 2-2 on September 18, 2019.
What is the recent form of both teams?
Over their last 3 matches in all competitions, Kamen Ivanbegovina have 2 wins, 0 draws and 1 defeat; Junak have 3, 0 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 14, 2019 | Hrvace(away) | 1-3 | Third NL - Jug |
| Sep 8, 2019 | Vodice(home) | 5-2 | Third NL - Jug |
| Sep 1, 2019 | Zmaj Blato(away) | 2-0 | Third NL - Jug |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 14, 2019 | Vodice(away) | 3-0 | Third NL - Jug |
| Sep 7, 2019 | Urania Baška Voda(home) | 1-0 | Third NL - Jug |
| Aug 31, 2019 | Zagora(away) | 1-0 | Third NL - Jug |
How many goals should we expect?
Kamen Ivanbegovina score 2.7 and concede 1.7 goals per match over their last 3; Junak score 1.7 and concede 0.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kamen Ivanbegovina | 2.7 | 1.7 | 1 | 2/3 | 2/3 |
| Junak | 1.7 | 0.0 | 3 | 0/3 | 1/3 |
Over the last 3 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 Junak sit 5th (42 points from 30 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Junak | 30 | 12 | 6 | 12 | 43 | 40 | 42 |
| 16 | Kamen Ivanbegovina | 30 | 8 | 6 | 16 | 30 | 61 | 30 |
A question about Kamen Ivanbegovina vs Junak?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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