NK Slaven Belupo vs Rudes: result 2-2 and analysis
HNLRegular Season - 7Kick-off on August 26, 2017 at 05:00 PM (UTC)Gradski Stadion, Koprivnica
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What was the result of NK Slaven Belupo vs Rudes?
NK Slaven Belupo and Rudes drew 2-2 on August 26, 2017.
Goalscorers
- 29′Tomislav HavojićRudes
- 50′Pero PejićNK Slaven Belupo
- 60′M. IvanovskiNK Slaven Belupo
- 90′Tomislav HavojićRudes (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, NK Slaven Belupo have 5 wins, 2 draws and 8 defeats; Rudes have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 20, 2017 | Dinamo Zagreb(away) | 0-2 | HNL |
| Aug 11, 2017 | HNK Hajduk Split(away) | 0-1 | HNL |
| Aug 5, 2017 | HNK Cibalia(home) | 2-1 | HNL |
| Jul 29, 2017 | Inter Zapresic(away) | 1-0 | HNL |
| Jul 22, 2017 | NK Lokomotiva Zagreb(home) | 1-0 | HNL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 20, 2017 | HNK Hajduk Split(home) | 0-4 | HNL |
| Aug 13, 2017 | HNK Cibalia(away) | 0-3 | HNL |
| Aug 5, 2017 | Inter Zapresic(home) | 0-2 | HNL |
| Jul 28, 2017 | NK Lokomotiva Zagreb(away) | 1-1 | HNL |
| Jul 22, 2017 | HNK Rijeka(away) | 1-4 | HNL |
How many goals should we expect?
NK Slaven Belupo score 0.8 and concede 1.3 goals per match over their last 15; Rudes score 0.9 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| NK Slaven Belupo | 0.8 | 1.3 | 4 | 6/15 | 6/15 |
| Rudes | 0.9 | 1.4 | 4 | 6/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
NK Slaven Belupo sit 8th in HNL (3 points from 4 matches) and Rudes sit 9th (3 points from 4 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | NK Slaven Belupo | 4 | 1 | 0 | 3 | 3 | 9 | 3 |
| 9 | Rudes | 4 | 1 | 0 | 3 | 6 | 13 | 3 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy