Kungsängen vs Gamla Upsala: result 2-5 and analysis
Division 2 - Norra SvealandRegular Season - 9Kick-off on May 29, 2019 at 06:00 PM (UTC)Kungsängens IP 1, Kungsängen
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What was the result of Kungsängen vs Gamla Upsala?
Gamla Upsala won 2-5 on May 29, 2019.
What is the recent form of both teams?
Over their last 8 matches in all competitions, Kungsängen have 4 wins, 1 draw and 3 defeats; Gamla Upsala have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 25, 2019 | Karlberg(away) | 1-2 | Division 2 - Norra Svealand |
| May 18, 2019 | Täby(home) | 1-2 | Division 2 - Norra Svealand |
| May 11, 2019 | Enköping(away) | 1-2 | Division 2 - Norra Svealand |
| May 4, 2019 | Skiljebo(home) | 1-0 | Division 2 - Norra Svealand |
| Apr 28, 2019 | Gute(away) | 4-0 | Division 2 - Norra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 24, 2019 | Valbo(away) | 2-1 | Division 2 - Norra Svealand |
| May 21, 2019 | Franke(away) | 2-0 | Svenska Cupen |
| May 18, 2019 | Karlberg(home) | 0-1 | Division 2 - Norra Svealand |
| May 11, 2019 | Täby(away) | 1-2 | Division 2 - Norra Svealand |
| May 4, 2019 | Enköping(home) | 1-1 | Division 2 - Norra Svealand |
How many goals should we expect?
Kungsängen score 1.8 and concede 1.3 goals per match over their last 8; Gamla Upsala score 1.5 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kungsängen | 1.8 | 1.3 | 2 | 6/8 | 7/8 |
| Gamla Upsala | 1.5 | 1.5 | 4 | 10/15 | 10/15 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Kungsängen | 25 | 5 | 10 | 10 | 30 | 39 | 25 |
A question about Kungsängen vs Gamla Upsala?
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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