Franke vs Kvarnsveden: result 4-1 and analysis
Division 2 - Norra SvealandRegular Season - 9Kick-off on May 28, 2016 at 01:00 PM (UTC)Råby IP 3, Västerås
Full time
What was the result of Franke vs Kvarnsveden?
Franke won 4-1 on May 28, 2016.
What is the recent form of both teams?
Over their last 8 matches in all competitions, Franke have 0 wins, 2 draws and 6 defeats; Kvarnsveden have 2, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 22, 2016 | Gute(away) | 1-3 | Division 2 - Norra Svealand |
| May 14, 2016 | Sollentuna(home) | 0-4 | Division 2 - Norra Svealand |
| May 8, 2016 | Karlberg(away) | 0-4 | Division 2 - Norra Svealand |
| May 4, 2016 | Syrianska IF(home) | 1-2 | Division 2 - Norra Svealand |
| Apr 30, 2016 | Norrtälje(home) | 1-4 | Division 2 - Norra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 21, 2016 | Norrtälje(home) | 1-2 | Division 2 - Norra Svealand |
| May 14, 2016 | Gamla Upsala(away) | 0-1 | Division 2 - Norra Svealand |
| May 8, 2016 | Västerås IK(home) | 2-1 | Division 2 - Norra Svealand |
| May 5, 2016 | Boo(away) | 0-1 | Division 2 - Norra Svealand |
| May 1, 2016 | Sundbyberg(home) | 0-1 | Division 2 - Norra Svealand |
How many goals should we expect?
Franke score 0.8 and concede 2.8 goals per match over their last 8; Kvarnsveden score 0.8 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Franke | 0.8 | 2.8 | 1 | 4/8 | 6/8 |
| Kvarnsveden | 0.8 | 1.1 | 1 | 3/8 | 2/8 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Franke | 25 | 10 | 4 | 11 | 45 | 43 | 34 |
A question about Franke 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