Franke vs Sundbyberg: result 5-2 and analysis
Division 2 - Norra SvealandRegular Season - 13Kick-off on June 23, 2016 at 05:00 PM (UTC)Råby IP 3, Västerås
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What was the result of Franke vs Sundbyberg?
Franke won 5-2 on June 23, 2016.
What is the recent form of both teams?
Over their last 12 matches in all competitions, Franke have 2 wins, 2 draws and 8 defeats; Sundbyberg have 4, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 18, 2016 | Skiljebo(away) | 1-2 | Division 2 - Norra Svealand |
| Jun 11, 2016 | Värmdö(home) | 1-0 | Division 2 - Norra Svealand |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 18, 2016 | Norrtälje(home) | 1-1 | Division 2 - Norra Svealand |
| Jun 11, 2016 | Gamla Upsala(away) | 1-2 | Division 2 - Norra Svealand |
| Jun 4, 2016 | Västerås IK(home) | 6-2 | Division 2 - Norra Svealand |
| May 28, 2016 | Boo(away) | 3-2 | Division 2 - Norra Svealand |
| May 23, 2016 | Syrianska IF(away) | 0-2 | Division 2 - Norra Svealand |
How many goals should we expect?
Franke score 1.2 and concede 2.6 goals per match over their last 12; Sundbyberg score 1.3 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Franke | 1.2 | 2.6 | 2 | 7/12 | 9/12 |
| Sundbyberg | 1.3 | 1.6 | 3 | 6/12 | 6/12 |
Over the last 12 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 Sundbyberg?
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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