KÍ II vs B71: result 9-1 and analysis
1. DeildRegular Season - 4Kick-off on April 6, 2019 at 03:30 PM (UTC)Við Djúpumýrar, Klaksvík, Borðoy
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What was the result of KÍ II vs B71?
KÍ II won 9-1 on April 6, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, KÍ II have 6 wins, 3 draws and 6 defeats; B71 have 3, 2 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 30, 2019 | B36 II(away) | 3-0 | 1. Deild |
| Mar 16, 2019 | Skála II(away) | 1-1 | 1. Deild |
| Mar 9, 2019 | HB II(home) | 1-0 | 1. Deild |
| Oct 26, 2018 | HB II(away) | 1-2 | 1. Deild |
| Oct 20, 2018 | TB / FCS / Royn II(home) | 8-2 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 30, 2019 | HB II(home) | 2-3 | 1. Deild |
| Mar 16, 2019 | EB / Streymur II(away) | 4-3 | 1. Deild |
| Mar 9, 2019 | Skála II(home) | 0-0 | 1. Deild |
| Oct 27, 2018 | ÍF II(home) | 2-3 | 1. Deild |
| Oct 23, 2018 | B68(away) | 0-3 | 1. Deild |
What does the head-to-head say?
Across the last 6 meetings: 5 KÍ II win(s), 0 draw(s), 1 B71 win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 22, 2018 | KÍ II 6-0 B71 | 1. Deild |
| May 26, 2018 | B71 3-6 KÍ II | 1. Deild |
| Apr 7, 2018 | KÍ II 4-1 B71 | 1. Deild |
| Aug 6, 2016 | B71 2-1 KÍ II | 1. Deild |
| May 21, 2016 | KÍ II 4-2 B71 | 1. Deild |
| Apr 2, 2016 | KÍ II 3-1 B71 | 1. Deild |
How many goals should we expect?
KÍ II score 2.0 and concede 1.3 goals per match over their last 15; B71 score 1.2 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| KÍ II | 2.0 | 1.3 | 4 | 8/15 | 11/15 |
| B71 | 1.2 | 2.3 | 4 | 7/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | B71 | 20 | 16 | 2 | 2 | 63 | 18 | 50 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy