Sesvete vs Imotski: result 3-1 and analysis
First NLRegular Season - 13Kick-off on October 29, 2016 at 01:00 PM (UTC)Stadion Sv. Josip Radnik, Sesvete
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What was the result of Sesvete vs Imotski?
Sesvete won 3-1 on October 29, 2016.
What is the recent form of both teams?
Over their last 12 matches in all competitions, Sesvete have 5 wins, 4 draws and 3 defeats; Imotski have 1, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 22, 2016 | Dugopolje(away) | 2-2 | First NL |
| Oct 15, 2016 | Lucko(away) | 3-3 | First NL |
| Oct 8, 2016 | Rudes(home) | 0-0 | First NL |
| Oct 1, 2016 | Dinamo Zagreb II(away) | 2-2 | First NL |
| Sep 28, 2016 | Hrvatski Dragovoljac(away) | 0-1 | First NL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 22, 2016 | Novigrad(away) | 1-3 | First NL |
| Oct 15, 2016 | Dugopolje(away) | 0-2 | First NL |
| Oct 8, 2016 | Lucko(home) | 3-2 | First NL |
| Oct 2, 2016 | Rudes(away) | 0-1 | First NL |
| Sep 28, 2016 | Sibenik(away) | 0-2 | First NL |
What does the head-to-head say?
In the last meeting: 1 Sesvete win, 0 draws, 0 Imotski wins.
| Date | Score | Competition |
|---|---|---|
| Aug 27, 2016 | Imotski 0-2 Sesvete | First NL |
How many goals should we expect?
Sesvete score 1.8 and concede 1.3 goals per match over their last 12; Imotski score 0.8 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sesvete | 1.8 | 1.3 | 3 | 7/12 | 8/12 |
| Imotski | 0.8 | 1.8 | 1 | 5/12 | 4/12 |
Over the last 12 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Sesvete | 8 | 3 | 1 | 4 | 10 | 9 | 10 |
A question about Sesvete vs Imotski?
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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