Dinamo Zagreb vs Rudes: result 3-2 and analysis
HNLRegular Season - 8Kick-off on September 10, 2017 at 05:00 PM (UTC)Stadion Maksimir, Zagreb
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What was the result of Dinamo Zagreb vs Rudes?
Dinamo Zagreb won 3-2 on September 10, 2017.
Goalscorers
- 24′Á. HenríquezDinamo Zagreb (pen.)
- 59′F. BenkovićDinamo Zagreb
- 81′K. LulićRudes
- 84′H. SoudaniDinamo Zagreb
- 88′Mario BudimirRudes
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dinamo Zagreb have 11 wins, 4 draws and 0 defeats; Rudes have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 27, 2017 | NK Lokomotiva Zagreb(away) | 3-0 | HNL |
| Aug 24, 2017 | Skenderbeu Korce(away) | 0-0 | UEFA Europa League |
| Aug 20, 2017 | NK Slaven Belupo(home) | 2-0 | HNL |
| Aug 17, 2017 | Skenderbeu Korce(home) | 1-1 | UEFA Europa League |
| Aug 11, 2017 | HNK Rijeka(away) | 2-0 | HNL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 26, 2017 | NK Slaven Belupo(away) | 2-2 | HNL |
| 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 |
How many goals should we expect?
Dinamo Zagreb score 1.9 and concede 0.5 goals per match over their last 15; Rudes score 0.9 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dinamo Zagreb | 1.9 | 0.5 | 9 | 6/15 | 6/15 |
| Rudes | 0.9 | 1.5 | 4 | 6/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Dinamo Zagreb sit 1st in HNL (9 points from 3 matches) and Rudes sit 9th (3 points from 4 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Dinamo Zagreb | 3 | 3 | 0 | 0 | 9 | 1 | 9 |
| 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