TB / FCS / Royn II vs ÍF II: result 0-9 and analysis
1. DeildMatchday 6Kick-off on April 14, 2018 at 02:00 PM (UTC)
Full time
What was the result of TB / FCS / Royn II vs ÍF II?
ÍF II won 0-9 on April 14, 2018.
What is the recent form of both teams?
Over their last 5 matches in all competitions, TB / FCS / Royn II have 0 wins, 1 draw and 4 defeats; ÍF II have 4, 1 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 7, 2018 | HB II(away) | 1-6 | 1. Deild |
| Mar 31, 2018 | Giza / Hoyvík(home) | 0-0 | 1. Deild |
| Mar 24, 2018 | KÍ II(away) | 0-9 | 1. Deild |
| Mar 18, 2018 | Skála II(home) | 1-5 | 1. Deild |
| Mar 10, 2018 | B68(away) | 0-8 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 7, 2018 | Skála II(away) | 5-1 | 1. Deild |
| Mar 31, 2018 | KÍ II(home) | 1-2 | 1. Deild |
| Mar 27, 2018 | Giza / Hoyvík(away) | 1-1 | 1. Deild |
| Mar 18, 2018 | B71(away) | 3-2 | 1. Deild |
| Mar 10, 2018 | Víkingur II(home) | 5-1 | 1. Deild |
How many goals should we expect?
TB / FCS / Royn II score 0.4 and concede 5.6 goals per match over their last 5; ÍF II score 1.7 and concede 3.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| TB / FCS / Royn II | 0.4 | 5.6 | 1 | 2/5 | 4/5 |
| ÍF II | 1.7 | 3.3 | 0 | 12/15 | 13/15 |
Over the last 5 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 TB / FCS / Royn II vs ÍF II?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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