ÍF II vs TB / FCS / Royn II: result 8-1 and analysis
1. DeildMatchday 14Kick-off on June 16, 2018 at 03:00 PM (UTC)á Fløtugerði, Fuglafjørður, Eysturoy
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What was the result of ÍF II vs TB / FCS / Royn II?
ÍF II won 8-1 on June 16, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, ÍF II have 8 wins, 2 draws and 5 defeats; TB / FCS / Royn II have 0, 4 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| May 5, 2018 | B68(away) | 1-6 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 2, 2018 | NSÍ II(away) | 0-8 | 1. Deild |
| May 26, 2018 | HB II(home) | 2-2 | 1. Deild |
| May 19, 2018 | B71(home) | 1-3 | 1. Deild |
| May 12, 2018 | Skála II(away) | 2-2 | 1. Deild |
| May 5, 2018 | NSÍ II(home) | 0-5 | 1. Deild |
What does the head-to-head say?
In the last meeting: 1 ÍF II win, 0 draws, 0 TB / FCS / Royn II wins.
| Date | Score | Competition |
|---|---|---|
| Apr 14, 2018 | TB / FCS / Royn II 0-9 ÍF II | 1. Deild |
Last archived meeting: TB / FCS / Royn II vs ÍF II on Apr 14, 2018
How many goals should we expect?
ÍF II score 2.9 and concede 2.0 goals per match over their last 15; TB / FCS / Royn II score 1.0 and concede 5.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| ÍF II | 2.9 | 2.0 | 3 | 11/15 | 12/15 |
| TB / FCS / Royn II | 1.0 | 5.0 | 1 | 7/13 | 12/13 |
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 | 27 | 11 | 7 | 9 | 62 | 61 | 40 |
A question about ÍF II vs TB / FCS / Royn 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