Kári vs KF: result 2-2 and analysis
2. DeildRegular Season - 14Kick-off on August 29, 2020 at 04:00 PM (UTC)Akraneshöllin, Akranes
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What was the result of Kári vs KF?
Kári and KF drew 2-2 on August 29, 2020.
Goalscorers
- 13′Hilmar HalldórssonKári
- 28′?Kári
- 41′?KF
- 43′?KF
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kári have 4 wins, 3 draws and 8 defeats; KF have 8, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 23, 2020 | Selfoss(away) | 0-1 | 2. Deild |
| Aug 19, 2020 | Thróttur Vogar(home) | 1-2 | 2. Deild |
| Aug 15, 2020 | Völsungur(away) | 3-2 | 2. Deild |
| Jul 26, 2020 | Fjardabyggd(away) | 0-1 | 2. Deild |
| Jul 22, 2020 | Dalvík / Reynir(home) | 1-0 | 2. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 23, 2020 | IR Reykjavik(home) | 3-2 | 2. Deild |
| Aug 18, 2020 | Vídir(away) | 0-2 | 2. Deild |
| Aug 14, 2020 | Fjardabyggd(away) | 4-2 | 2. Deild |
| Jul 26, 2020 | Selfoss(home) | 2-1 | 2. Deild |
| Jul 22, 2020 | Völsungur(away) | 3-2 | 2. Deild |
What does the head-to-head say?
In the last meeting: 0 Kári wins, 0 draws, 1 KF win.
| Date | Score | Competition |
|---|---|---|
| Jul 2, 2020 | KF 3-2 Kári | 2. Deild |
How many goals should we expect?
Kári score 1.3 and concede 1.6 goals per match over their last 15; KF score 1.7 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kári | 1.3 | 1.6 | 5 | 6/15 | 7/15 |
| KF | 1.7 | 1.8 | 1 | 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 |
|---|---|---|---|---|---|---|---|---|
| 3 | Kári | 22 | 11 | 9 | 2 | 56 | 29 | 42 |
A question about Kári vs KF?
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