Podrinje Janja vs Slavija: result 3-1 and analysis
1st League - RSRegular Season - 9Kick-off on October 1, 2016 at 01:30 PM (UTC)Stadion Podrinje, Janja
Full time
What was the result of Podrinje Janja vs Slavija?
Podrinje Janja won 3-1 on October 1, 2016.
What is the recent form of both teams?
Over their last 9 matches in all competitions, Podrinje Janja have 3 wins, 2 draws and 4 defeats; Slavija have 3, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 24, 2016 | Sloga Doboj(away) | 3-3 | 1st League - RS |
| Sep 21, 2016 | Sloboda Tuzla(home) | 0-1 | Cup |
| Sep 17, 2016 | Sloboda Mrkonjić Grad(home) | 5-0 | 1st League - RS |
| Sep 10, 2016 | Kozara Gradiška(away) | 1-2 | 1st League - RS |
| Sep 3, 2016 | Borac Banja Luka(home) | 0-0 | 1st League - RS |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 24, 2016 | Drina Zvornik(home) | 1-0 | 1st League - RS |
| Sep 21, 2016 | Vitez(home) | 0-0 | Cup |
| Sep 18, 2016 | Sloga Doboj(away) | 1-3 | 1st League - RS |
| Sep 10, 2016 | Sutjeska Foča(home) | 3-0 | 1st League - RS |
| Sep 3, 2016 | Sloboda Mrkonjić Grad(away) | 0-1 | 1st League - RS |
How many goals should we expect?
Podrinje Janja score 1.4 and concede 1.0 goals per match over their last 9; Slavija score 1.7 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Podrinje Janja | 1.4 | 1.0 | 4 | 3/9 | 4/9 |
| Slavija | 1.7 | 1.1 | 3 | 5/9 | 5/9 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Slavija | 25 | 10 | 9 | 6 | 30 | 19 | 39 |
A question about Podrinje Janja vs Slavija?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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