Älgarna vs Kiruna FF: result 2-1 and analysis
Division 2 - NorrlandNorrland - 24Kick-off on October 1, 2022 at 11:00 AM (UTC)Högslättens IP, Härnösand
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What was the result of Älgarna vs Kiruna FF?
Älgarna won 2-1 on October 1, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Älgarna have 4 wins, 0 draws and 11 defeats; Kiruna FF have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 24, 2022 | Sandviks(home) | 3-1 | Division 2 - Norrland |
| Sep 17, 2022 | IFK Östersund(away) | 0-2 | Division 2 - Norrland |
| Sep 10, 2022 | Boden(away) | 2-3 | Division 2 - Norrland |
| Sep 2, 2022 | Friska Viljor(home) | 3-4 | Division 2 - Norrland |
| Aug 27, 2022 | Ytterhogdal(home) | 2-3 | Division 2 - Norrland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 24, 2022 | Umeå FC Akademi(away) | 2-1 | Division 2 - Norrland |
| Sep 17, 2022 | Storfors(home) | 2-1 | Division 2 - Norrland |
| Sep 10, 2022 | Gottne(home) | 1-0 | Division 2 - Norrland |
| Sep 3, 2022 | Ytterhogdal(away) | 0-0 | Division 2 - Norrland |
| Aug 27, 2022 | Stöde(away) | 2-2 | Division 2 - Norrland |
What does the head-to-head say?
Across the last 1 meetings: 0 Älgarna win(s), 0 draw(s), 1 Kiruna FF win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 18, 2022 | Kiruna FF 3-2 Älgarna | Division 2 - Norrland |
How many goals should we expect?
Älgarna score 1.5 and concede 2.6 goals per match over their last 15; Kiruna FF score 1.3 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Älgarna | 1.5 | 2.6 | 1 | 10/15 | 12/15 |
| Kiruna FF | 1.3 | 1.5 | 2 | 10/15 | 8/15 |
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 | Kiruna FF | 12 | 4 | 3 | 5 | 19 | 19 | 17 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy