Uppsala vs Enskede: result 0-3 and analysis
Division 2 - Norra SvealandNorra Svealand - 8Kick-off on May 20, 2023 at 11:00 AM (UTC)Österängens IP, Uppsala
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What was the result of Uppsala vs Enskede?
Enskede won 0-3 on May 20, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Uppsala have 0 wins, 5 draws and 10 defeats; Enskede have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 13, 2023 | Järfälla(away) | 0-4 | Division 2 - Norra Svealand |
| May 7, 2023 | Arlanda(home) | 2-3 | Division 2 - Norra Svealand |
| Apr 30, 2023 | Kvarnsveden(away) | 0-0 | Division 2 - Norra Svealand |
| Apr 22, 2023 | Hudiksvall(home) | 0-5 | Division 2 - Norra Svealand |
| Apr 15, 2023 | Kungsängen(away) | 0-4 | Division 2 - Norra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 13, 2023 | Gute(home) | 2-0 | Division 2 - Norra Svealand |
| May 6, 2023 | Sandvikens AIK(away) | 1-2 | Division 2 - Norra Svealand |
| Apr 29, 2023 | IFK Österåker(home) | 5-2 | Division 2 - Norra Svealand |
| Apr 23, 2023 | Franke(away) | 2-0 | Division 2 - Norra Svealand |
| Apr 14, 2023 | Viggbyholms IK(home) | 1-1 | Division 2 - Norra Svealand |
How many goals should we expect?
Uppsala score 0.8 and concede 3.3 goals per match over their last 15; Enskede score 1.5 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Uppsala | 0.8 | 3.3 | 2 | 7/15 | 10/15 |
| Enskede | 1.5 | 2.0 | 4 | 9/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Enskede | 25 | 16 | 4 | 5 | 42 | 24 | 52 |
A question about Uppsala 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