Franke vs Värmdö: result 1-0 and analysis
Division 2 - Norra SvealandRegular Season - 11Kick-off on June 11, 2016 at 01:00 PM (UTC)Råby IP 3, Västerås
Full time
What was the result of Franke vs Värmdö?
Franke won 1-0 on June 11, 2016.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Franke have 1 win, 2 draws and 7 defeats; Värmdö have 3, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 6, 2016 | Håbo(away) | 2-6 | Division 2 - Norra Svealand |
| May 28, 2016 | Kvarnsveden(home) | 4-1 | Division 2 - Norra Svealand |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 4, 2016 | Norrtälje(home) | 2-2 | Division 2 - Norra Svealand |
| May 28, 2016 | Gamla Upsala(away) | 2-0 | Division 2 - Norra Svealand |
| May 21, 2016 | Västerås IK(home) | 3-0 | Division 2 - Norra Svealand |
| May 14, 2016 | Boo(away) | 1-3 | Division 2 - Norra Svealand |
| May 8, 2016 | Sundbyberg(home) | 0-1 | Division 2 - Norra Svealand |
How many goals should we expect?
Franke score 1.2 and concede 2.9 goals per match over their last 10; Värmdö score 1.4 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Franke | 1.2 | 2.9 | 1 | 6/10 | 8/10 |
| Värmdö | 1.4 | 1.4 | 3 | 5/10 | 5/10 |
Over the last 10 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 Värmdö?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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