Franke vs Uppsala: result 2-1 and analysis
Division 2 - Norra SvealandNorra Svealand - 9Kick-off on May 27, 2023 at 02:00 PM (UTC)Råby IP 3, Västerås
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What was the result of Franke vs Uppsala?
Franke won 2-1 on May 27, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Franke have 3 wins, 3 draws and 9 defeats; Uppsala have 0, 4 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 19, 2023 | Gute(away) | 1-4 | Division 2 - Norra Svealand |
| May 14, 2023 | Sandvikens AIK(home) | 1-2 | Division 2 - Norra Svealand |
| May 6, 2023 | IFK Österåker(away) | 0-0 | Division 2 - Norra Svealand |
| Apr 29, 2023 | Viggbyholms IK(home) | 1-2 | Division 2 - Norra Svealand |
| Apr 23, 2023 | Enskede(home) | 0-2 | Division 2 - Norra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 20, 2023 | Enskede(home) | 0-3 | Division 2 - Norra Svealand |
| 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 |
How many goals should we expect?
Franke score 1.3 and concede 2.1 goals per match over their last 15; Uppsala score 0.8 and concede 3.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Franke | 1.3 | 2.1 | 2 | 9/15 | 11/15 |
| Uppsala | 0.8 | 3.5 | 1 | 7/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 7 | Franke | 25 | 10 | 4 | 11 | 45 | 43 | 34 |
A question about Franke vs Uppsala?
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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