Mora vs Karlberg: result 1-3 and analysis
Division 2 - Norra SvealandRegular Season - 25Kick-off on October 5, 2019 at 02:00 PM (UTC)
Full time
What was the result of Mora vs Karlberg?
Karlberg won 1-3 on October 5, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mora have 4 wins, 2 draws and 9 defeats; Karlberg 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 |
|---|---|---|---|
| Sep 28, 2019 | Gamla Upsala(away) | 2-4 | Division 2 - Norra Svealand |
| Sep 21, 2019 | Skiljebo(away) | 0-1 | Division 2 - Norra Svealand |
| Sep 14, 2019 | Enköping(home) | 3-2 | Division 2 - Norra Svealand |
| Sep 7, 2019 | Gute(home) | 2-2 | Division 2 - Norra Svealand |
| Aug 31, 2019 | Hudiksvall(away) | 4-5 | Division 2 - Norra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2019 | Stocksund(home) | 1-0 | Division 2 - Norra Svealand |
| Sep 21, 2019 | Kvarnsveden(home) | 3-1 | Division 2 - Norra Svealand |
| Sep 14, 2019 | Sundbyberg(away) | 1-0 | Division 2 - Norra Svealand |
| Sep 7, 2019 | Kungsängen(away) | 3-1 | Division 2 - Norra Svealand |
| Aug 31, 2019 | Gamla Upsala(home) | 3-2 | Division 2 - Norra Svealand |
What does the head-to-head say?
Across the last 3 meetings: 1 Mora win(s), 0 draw(s), 2 Karlberg win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 15, 2019 | Karlberg 1-2 Mora | Division 2 - Norra Svealand |
| Sep 1, 2018 | Karlberg 6-1 Mora | Division 2 - Norra Svealand |
| May 12, 2018 | Mora 0-2 Karlberg | Division 2 - Norra Svealand |
How many goals should we expect?
Mora score 1.4 and concede 2.5 goals per match over their last 15; Karlberg score 1.8 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mora | 1.4 | 2.5 | 1 | 10/15 | 11/15 |
| Karlberg | 1.8 | 1.3 | 4 | 9/15 | 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