Karlberg vs Mora: result 1-2 and analysis
Division 2 - Norra SvealandRegular Season - 12Kick-off on June 15, 2019 at 12:00 PM (UTC)Kristinebergs IP, Stockholm
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What was the result of Karlberg vs Mora?
Mora won 1-2 on June 15, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Karlberg have 13 wins, 1 draw and 1 defeat; Mora have 1, 4 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 9, 2019 | Lidingö(away) | 1-1 | Division 2 - Norra Svealand |
| Jun 2, 2019 | Sundbyberg(home) | 2-1 | Division 2 - Norra Svealand |
| May 30, 2019 | Kvarnsveden(away) | 3-0 | Division 2 - Norra Svealand |
| May 25, 2019 | Kungsängen(home) | 2-1 | Division 2 - Norra Svealand |
| May 18, 2019 | Gamla Upsala(away) | 1-0 | Division 2 - Norra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 6, 2019 | Täby(home) | 0-4 | Division 2 - Norra Svealand |
| Jun 2, 2019 | Enköping(away) | 1-4 | Division 2 - Norra Svealand |
| May 30, 2019 | Skiljebo(home) | 3-2 | Division 2 - Norra Svealand |
| May 26, 2019 | Gute(away) | 0-3 | Division 2 - Norra Svealand |
| May 18, 2019 | Hudiksvall(home) | 1-2 | Division 2 - Norra Svealand |
What does the head-to-head say?
Across the last 2 meetings: 2 Karlberg wins, 0 draws, 0 Mora wins.
| Date | Score | Competition |
|---|---|---|
| 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?
Karlberg score 2.1 and concede 0.6 goals per match over their last 15; Mora score 1.1 and concede 2.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Karlberg | 2.1 | 0.6 | 8 | 7/15 | 8/15 |
| Mora | 1.1 | 2.8 | 1 | 10/15 | 13/15 |
Over the last 15 matches in all competitions.
A question about Karlberg vs Mora?
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