TB vs KÍ II: result 3-0 and analysis
1. DeildRegular Season - 7Kick-off on April 29, 2022 at 05:00 PM (UTC)Við Stórá Stadium, Trongisvágur
Full time
What was the result of TB vs KÍ II?
TB won 3-0 on April 29, 2022.
Goalscorers
- 66′?TB
- 73′?TB
- 85′?TB
What is the recent form of both teams?
Over their last 15 matches in all competitions, TB have 5 wins, 0 draws and 10 defeats; KÍ II have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 23, 2022 | Víkingur II(away) | 2-1 | 1. Deild |
| Apr 14, 2022 | Hoyvík(home) | 4-0 | Løgmanssteypid |
| Apr 9, 2022 | 07 Vestur II(away) | 2-1 | 1. Deild |
| Apr 2, 2022 | NSÍ II(away) | 2-3 | 1. Deild |
| Mar 20, 2022 | ÍF II(home) | 0-2 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 23, 2022 | ÍF II(home) | 1-3 | 1. Deild |
| Apr 9, 2022 | Undrid(away) | 0-2 | 1. Deild |
| Apr 1, 2022 | HB II(away) | 6-0 | 1. Deild |
| Mar 17, 2022 | NSÍ II(away) | 7-0 | 1. Deild |
| Mar 13, 2022 | Víkingur II(home) | 3-3 | 1. Deild |
What does the head-to-head say?
Across the last 3 meetings: 3 TB wins, 0 draws, 0 KÍ II wins.
| Date | Score | Competition |
|---|---|---|
| Aug 23, 2014 | TB 7-1 KÍ II | 1. Deild |
| Jun 28, 2014 | TB 3-0 KÍ II | 1. Deild |
| Apr 25, 2014 | KÍ II 1-2 TB | 1. Deild |
How many goals should we expect?
TB score 1.4 and concede 2.9 goals per match over their last 15; KÍ II score 2.7 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| TB | 1.4 | 2.9 | 3 | 8/15 | 10/15 |
| KÍ II | 2.7 | 1.3 | 5 | 9/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | TB | 25 | 9 | 7 | 9 | 50 | 52 | 34 |
A question about TB 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