RNK Split vs Inter Zapresic: result 0-0 and analysis
HNLRegular Season - 7Kick-off on August 26, 2016 at 06:00 PM (UTC)Stadion Park mladeži, Split
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What was the result of RNK Split vs Inter Zapresic?
RNK Split and Inter Zapresic drew 0-0 on August 26, 2016.
Official lineup for RNK Split vs Inter Zapresic
The starting elevens fielded at kick-off.
RNK Split
- 21I. Pešić
- 4K. Jakić
- 8K. Chvedukas
- 9F. Bojić
- 19Elis Bakaj
- 3Maksim Vitus
- 13Josip Jurendić
- 15A. Merajić
- 18Amir Rrahmani
- 55I. Fuštar
- 1T. Duka
Inter Zapresic
- 9M. Kolar
- 14M. Altiparmakovski
- 21J. Puljić
- 10I. Blažević
- 23M. Brlečić
- 28T. Mazalović
- 13Ivan Čeliković
- 15M. Komorski
- 22J. Filipović
- 26A. Bosec
- 1I. Čović
What is the recent form of both teams?
Over their last 14 matches in all competitions, RNK Split have 3 wins, 7 draws and 4 defeats; Inter Zapresic have 1, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 19, 2016 | Dinamo Zagreb(away) | 0-1 | HNL |
| Aug 12, 2016 | HNK Cibalia(home) | 2-2 | HNL |
| Aug 5, 2016 | NK Slaven Belupo(away) | 0-0 | HNL |
| Jul 31, 2016 | HNK Hajduk Split(home) | 0-1 | HNL |
| Jul 24, 2016 | NK Lokomotiva Zagreb(away) | 0-0 | HNL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 21, 2016 | NK Lokomotiva Zagreb(home) | 2-1 | HNL |
| Aug 13, 2016 | Dinamo Zagreb(away) | 1-2 | HNL |
| Aug 7, 2016 | HNK Rijeka(home) | 1-1 | HNL |
| Jul 30, 2016 | HNK Cibalia(away) | 3-3 | HNL |
| Jul 23, 2016 | NK Osijek(home) | 0-2 | HNL |
How many goals should we expect?
RNK Split score 0.6 and concede 0.7 goals per match over their last 14; Inter Zapresic score 1.2 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| RNK Split | 0.6 | 0.7 | 7 | 3/14 | 3/14 |
| Inter Zapresic | 1.2 | 1.8 | 0 | 4/6 | 3/6 |
Over the last 14 matches in all competitions.
A question about RNK Split vs Inter Zapresic?
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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