Älgarna vs Sandviks: result 4-2 and analysis
Division 2 - NorrlandNorrland - 23Kick-off on September 30, 2023 at 12:00 PM (UTC)Högslättens IP, Härnösand
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What was the result of Älgarna vs Sandviks?
Älgarna won 4-2 on September 30, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Älgarna have 3 wins, 4 draws and 8 defeats; Sandviks have 3, 6 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 23, 2023 | Kiruna FF(away) | 0-3 | Division 2 - Norrland |
| Sep 16, 2023 | Frösö(away) | 0-1 | Division 2 - Norrland |
| Sep 9, 2023 | Skellefteå(home) | 2-2 | Division 2 - Norrland |
| Sep 2, 2023 | IFK Luleå(away) | 0-6 | Division 2 - Norrland |
| Aug 26, 2023 | Bergnäsets(home) | 2-2 | Division 2 - Norrland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 23, 2023 | Umea FF(home) | 1-2 | Division 2 - Norrland |
| Sep 16, 2023 | Ytterhogdal(home) | 0-3 | Division 2 - Norrland |
| Sep 9, 2023 | Notvikens IK(away) | 1-1 | Division 2 - Norrland |
| Sep 2, 2023 | Storfors(home) | 6-3 | Division 2 - Norrland |
| Aug 26, 2023 | Gottne(away) | 2-2 | Division 2 - Norrland |
What does the head-to-head say?
Across the last 3 meetings: 1 Älgarna win(s), 1 draw(s), 1 Sandviks win(s).
| Date | Score | Competition |
|---|---|---|
| May 27, 2023 | Sandviks 2-2 Älgarna | Division 2 - Norrland |
| Sep 24, 2022 | Älgarna 3-1 Sandviks | Division 2 - Norrland |
| May 26, 2022 | Sandviks 4-3 Älgarna | Division 2 - Norrland |
How many goals should we expect?
Älgarna score 1.7 and concede 2.3 goals per match over their last 15; Sandviks score 1.5 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Älgarna | 1.7 | 2.3 | 1 | 10/15 | 13/15 |
| Sandviks | 1.5 | 1.8 | 2 | 10/15 | 10/15 |
Over the last 15 matches in all competitions.
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