ÍF II vs KÍ II: result 1-2 and analysis
1. DeildRegular Season - 20Kick-off on August 25, 2017 at 05:30 PM (UTC)á Fløtugerði, Fuglafjørður, Eysturoy
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What was the result of ÍF II vs KÍ II?
KÍ II won 1-2 on August 25, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, ÍF II have 1 win, 0 draws and 14 defeats; KÍ II have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 24, 2017 | HB Torshavn(home) | 2-1 | Meistaradeildin |
| Aug 20, 2017 | TB / FCS / Royn(away) | 0-1 | Meistaradeildin |
| Aug 19, 2017 | NSÍ II(away) | 0-7 | 1. Deild |
| Aug 13, 2017 | B36 II(away) | 0-32 | 1. Deild |
| Aug 12, 2017 | Skála(home) | 0-1 | Meistaradeildin |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 19, 2017 | B68(away) | 0-2 | 1. Deild |
| Aug 13, 2017 | Giza / Hoyvík(home) | 3-4 | 1. Deild |
| Aug 5, 2017 | AB(away) | 0-4 | 1. Deild |
| Jul 31, 2017 | NSÍ II(home) | 6-0 | 1. Deild |
| Jul 26, 2017 | Suduroy(away) | 2-0 | 1. Deild |
What does the head-to-head say?
Across the last 2 meetings: 0 ÍF II wins, 0 draws, 2 KÍ II wins.
| Date | Score | Competition |
|---|---|---|
| Jun 1, 2017 | KÍ II 7-0 ÍF II | 1. Deild |
| Apr 8, 2017 | ÍF II 2-4 KÍ II | 1. Deild |
How many goals should we expect?
ÍF II score 0.7 and concede 6.1 goals per match over their last 15; KÍ II score 2.7 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| ÍF II | 0.7 | 6.1 | 0 | 6/15 | 13/15 |
| KÍ II | 2.7 | 1.1 | 6 | 7/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | ÍF II | 26 | 10 | 7 | 9 | 56 | 58 | 37 |
A question about ÍF II vs KÍ II?
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