KÍ II vs TB: result 1-3 and analysis
1. DeildRegular Season - 13Kick-off on June 18, 2022 at 04:00 PM (UTC)Við Djúpumýrar, Klaksvík, Borðoy
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What was the result of KÍ II vs TB?
TB won 1-3 on June 18, 2022.
Goalscorers
- 3′?KÍ II
- 11′?TB
- 48′?TB
- 59′N. JohannesenTB
What is the recent form of both teams?
Over their last 15 matches in all competitions, KÍ II have 7 wins, 1 draw and 7 defeats; TB have 10, 0 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 28, 2022 | Víkingur II(away) | 1-4 | 1. Deild |
| May 23, 2022 | NSÍ II(home) | 7-1 | 1. Deild |
| May 17, 2022 | Undrid(home) | 2-1 | 1. Deild |
| May 14, 2022 | B71(home) | 1-2 | 1. Deild |
| May 6, 2022 | B36 II(home) | 3-1 | 1. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 28, 2022 | Undrid(home) | 6-2 | 1. Deild |
| May 21, 2022 | ÍF II(away) | 5-2 | 1. Deild |
| May 18, 2022 | 07 Vestur(home) | 1-4 | Løgmanssteypid |
| May 13, 2022 | HB II(home) | 1-0 | 1. Deild |
| May 7, 2022 | B71(home) | 3-1 | 1. Deild |
What does the head-to-head say?
Across the last 4 meetings: 0 KÍ II wins, 0 draws, 4 TB wins.
| Date | Score | Competition |
|---|---|---|
| Apr 29, 2022 | TB 3-0 KÍ II | 1. Deild |
| 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?
KÍ II score 2.8 and concede 1.7 goals per match over their last 15; TB score 2.3 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| KÍ II | 2.8 | 1.7 | 3 | 10/15 | 14/15 |
| TB | 2.3 | 1.8 | 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 KÍ II vs TB?
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