KÍ II vs ÍF II: result 2-2 and analysis
1. DeildRegular Season - 15Kick-off on June 23, 2018 at 02:00 PM (UTC)Við Djúpumýrar, Klaksvík, Borðoy
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What was the result of KÍ II vs ÍF II?
KÍ II and ÍF II drew 2-2 on June 23, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, KÍ II have 13 wins, 1 draw and 1 defeat; ÍF II have 9, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 16, 2018 | Giza / Hoyvík(home) | 4-1 | 1. Deild |
| Jun 2, 2018 | Víkingur II(home) | 1-2 | 1. Deild |
| May 26, 2018 | B71(away) | 6-3 | 1. Deild |
| May 19, 2018 | Skála II(home) | 1-0 | 1. Deild |
| May 12, 2018 | HB II(home) | 2-1 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 16, 2018 | TB / FCS / Royn II(home) | 8-1 | 1. Deild |
| Jun 2, 2018 | B68(home) | 1-0 | 1. Deild |
| May 26, 2018 | Skála II(home) | 7-0 | 1. Deild |
| May 19, 2018 | HB II(away) | 2-4 | 1. Deild |
| May 15, 2018 | B71(home) | 4-3 | 1. Deild |
What does the head-to-head say?
Across the last 4 meetings: 4 KÍ II wins, 0 draws, 0 ÍF II wins.
| Date | Score | Competition |
|---|---|---|
| Mar 31, 2018 | ÍF II 1-2 KÍ II | 1. Deild |
| Aug 25, 2017 | ÍF II 1-2 KÍ II | 1. Deild |
| 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?
KÍ II score 2.9 and concede 0.9 goals per match over their last 15; ÍF II score 3.3 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| KÍ II | 2.9 | 0.9 | 6 | 9/15 | 11/15 |
| ÍF II | 3.3 | 1.7 | 3 | 11/15 | 12/15 |
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 KÍ II vs ÍF 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