Viggbyholms IK vs Kvarnsveden: result 4-2 and analysis
Division 2 - Norra SvealandNorra Svealand - 10Kick-off on June 4, 2023 at 11:00 AM (UTC)Hägernäs IP 1, Täby
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What was the result of Viggbyholms IK vs Kvarnsveden?
Viggbyholms IK won 4-2 on June 4, 2023.
What is the recent form of both teams?
Over their last 11 matches in all competitions, Viggbyholms IK have 5 wins, 2 draws and 4 defeats; Kvarnsveden have 2, 2 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 28, 2023 | Sandvikens AIK(away) | 2-1 | Division 2 - Norra Svealand |
| May 21, 2023 | Hudiksvall(away) | 0-5 | Division 2 - Norra Svealand |
| May 14, 2023 | IFK Österåker(away) | 1-2 | Division 2 - Norra Svealand |
| May 7, 2023 | Kungsängen(home) | 1-0 | Division 2 - Norra Svealand |
| Apr 29, 2023 | Franke(away) | 2-1 | Division 2 - Norra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 27, 2023 | Hudiksvall(home) | 1-3 | Division 2 - Norra Svealand |
| May 21, 2023 | Kungsängen(away) | 1-3 | Division 2 - Norra Svealand |
| May 13, 2023 | Skiljebo(home) | 2-5 | Division 2 - Norra Svealand |
| May 6, 2023 | Karlberg(away) | 0-4 | Division 2 - Norra Svealand |
| Apr 30, 2023 | Uppsala(home) | 0-0 | Division 2 - Norra Svealand |
How many goals should we expect?
Viggbyholms IK score 1.3 and concede 1.6 goals per match over their last 11; Kvarnsveden score 1.0 and concede 2.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Viggbyholms IK | 1.3 | 1.6 | 3 | 5/11 | 7/11 |
| Kvarnsveden | 1.0 | 2.6 | 1 | 9/15 | 11/15 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Viggbyholms IK | 26 | 7 | 4 | 15 | 27 | 50 | 25 |
A question about Viggbyholms IK vs Kvarnsveden?
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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