Gamla Upsala vs Enskede: result 3-2 and analysis
Division 2 - Norra SvealandNorra Svealand - 6Kick-off on August 29, 2020 at 02:00 PM (UTC)Gamlis IP, Uppsala
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What was the result of Gamla Upsala vs Enskede?
Gamla Upsala won 3-2 on August 29, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Gamla Upsala have 5 wins, 2 draws and 8 defeats; Enskede have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 22, 2020 | Kungsängen(away) | 2-3 | Division 2 - Norra Svealand |
| Aug 19, 2020 | Newroz(away) | 2-4 | Svenska Cupen |
| Aug 15, 2020 | Stocksund(home) | 2-1 | Division 2 - Norra Svealand |
| Aug 8, 2020 | Lidingö(away) | 4-3 | Division 2 - Norra Svealand |
| Jun 27, 2020 | Stockholm Internazionale(away) | 1-1 | Division 2 - Norra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 22, 2020 | Hudiksvall(home) | 1-4 | Division 2 - Norra Svealand |
| Aug 19, 2020 | Täby(home) | 2-4 | Svenska Cupen |
| Aug 15, 2020 | Skiljebo(away) | 0-5 | Division 2 - Norra Svealand |
| Aug 8, 2020 | Kvarnsveden(home) | 2-0 | Division 2 - Norra Svealand |
| Jun 26, 2020 | Karlberg(home) | 0-2 | Division 2 - Norra Svealand |
How many goals should we expect?
Gamla Upsala score 1.9 and concede 2.1 goals per match over their last 15; Enskede score 1.5 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gamla Upsala | 1.9 | 2.1 | 1 | 10/15 | 10/15 |
| Enskede | 1.5 | 2.5 | 4 | 8/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Enskede | 25 | 16 | 4 | 5 | 42 | 24 | 52 |
A question about Gamla Upsala vs Enskede?
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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