Magni vs KV: result 4-1 and analysis
2. DeildRegular Season - 12Kick-off on July 15, 2017 at 04:00 PM (UTC)Boginn, Akureyri
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What was the result of Magni vs KV?
Magni won 4-1 on July 15, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Magni have 7 wins, 4 draws and 4 defeats; KV have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 8, 2017 | Vídir(home) | 2-1 | 2. Deild |
| Jul 4, 2017 | Vestri(away) | 1-2 | 2. Deild |
| Jun 30, 2017 | Höttur(home) | 5-3 | 2. Deild |
| Jun 23, 2017 | Fjardabyggd(away) | 1-1 | 2. Deild |
| Jun 18, 2017 | Afturelding(home) | 2-1 | 2. Deild |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 10, 2017 | Afturelding(away) | 2-1 | 2. Deild |
| Jul 4, 2017 | Njardvik(home) | 4-6 | 2. Deild |
| Jul 1, 2017 | Tindastóll(away) | 3-5 | 2. Deild |
| Jun 23, 2017 | Sindri(home) | 2-0 | 2. Deild |
| Jun 18, 2017 | Huginn(away) | 1-4 | 2. Deild |
What does the head-to-head say?
Across the last 3 meetings: 2 Magni wins, 1 draw, 0 KV wins.
| Date | Score | Competition |
|---|---|---|
| May 6, 2017 | KV 1-3 Magni | 2. Deild |
| Sep 17, 2016 | Magni 3-3 KV | 2. Deild |
| Jul 9, 2016 | KV 1-2 Magni | 2. Deild |
How many goals should we expect?
Magni score 1.8 and concede 1.5 goals per match over their last 15; KV score 1.9 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Magni | 1.8 | 1.5 | 0 | 12/15 | 10/15 |
| KV | 1.9 | 2.2 | 3 | 10/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Magni | 22 | 7 | 4 | 11 | 35 | 54 | 25 |
A question about Magni vs KV?
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