Rudes vs Imotski: result 1-0 and analysis
First NLRegular Season - 9Kick-off on October 2, 2016 at 02:00 PM (UTC)Igralište NK Rudeš, Zagreb
Full time
What was the result of Rudes vs Imotski?
Rudes won 1-0 on October 2, 2016.
What is the recent form of both teams?
Over their last 8 matches in all competitions, Rudes have 5 wins, 1 draw and 2 defeats; Imotski have 0, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2016 | Lucko(home) | 7-1 | First NL |
| Sep 24, 2016 | Dugopolje(away) | 0-0 | First NL |
| Sep 17, 2016 | Novigrad(away) | 2-1 | First NL |
| Sep 11, 2016 | Dinamo Zagreb II(away) | 2-3 | First NL |
| Sep 7, 2016 | Sibenik(home) | 2-0 | First NL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2016 | Sibenik(away) | 0-2 | First NL |
| Sep 24, 2016 | Dinamo Zagreb II(home) | 0-0 | First NL |
| Sep 17, 2016 | Hrvatski Dragovoljac(home) | 1-1 | First NL |
| Sep 10, 2016 | Solin(away) | 0-2 | First NL |
| Sep 7, 2016 | NK Zagreb(home) | 2-3 | First NL |
How many goals should we expect?
Rudes score 2.3 and concede 1.4 goals per match over their last 8; Imotski score 0.6 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rudes | 2.3 | 1.4 | 3 | 5/8 | 5/8 |
| Imotski | 0.6 | 1.6 | 1 | 3/8 | 2/8 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Rudes | 33 | 19 | 8 | 6 | 49 | 29 | 65 |
A question about Rudes vs Imotski?
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