Dinamo Zagreb II vs Solin: result 3-0 and analysis
First NLRegular Season - 28Kick-off on April 18, 2017 at 02:30 PM (UTC)Stadion Kranjčevićeva, Zagreb
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What was the result of Dinamo Zagreb II vs Solin?
Dinamo Zagreb II won 3-0 on April 18, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dinamo Zagreb II have 5 wins, 5 draws and 5 defeats; Solin have 10, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 12, 2017 | Rudes(away) | 0-1 | First NL |
| Apr 9, 2017 | Novigrad(home) | 1-0 | First NL |
| Apr 1, 2017 | Sesvete(away) | 2-4 | First NL |
| Mar 29, 2017 | Dugopolje(home) | 0-0 | First NL |
| Mar 25, 2017 | Lucko(home) | 1-1 | First NL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 12, 2017 | Lucko(home) | 2-0 | First NL |
| Apr 8, 2017 | Imotski(away) | 1-1 | First NL |
| Apr 1, 2017 | NK Zagreb(home) | 1-0 | First NL |
| Mar 29, 2017 | Hrvatski Dragovoljac(away) | 0-1 | First NL |
| Mar 25, 2017 | Sibenik(home) | 1-0 | First NL |
What does the head-to-head say?
Across the last 2 meetings: 1 Dinamo Zagreb II win, 1 draw, 0 Solin wins.
| Date | Score | Competition |
|---|---|---|
| Oct 23, 2016 | Dinamo Zagreb II 3-1 Solin | First NL |
| Aug 20, 2016 | Solin 1-1 Dinamo Zagreb II | First NL |
Last archived meeting: Dinamo Zagreb II vs Solin on Oct 23, 2016
How many goals should we expect?
Dinamo Zagreb II score 1.2 and concede 1.1 goals per match over their last 15; Solin score 1.7 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dinamo Zagreb II | 1.2 | 1.1 | 4 | 8/15 | 5/15 |
| Solin | 1.7 | 0.7 | 7 | 6/15 | 5/15 |
Over the last 15 matches in all competitions.
A question about Dinamo Zagreb II vs Solin?
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