Franke vs Hudiksvall: result 1-3 and analysis
Division 2 - Norra SvealandNorra Svealand - 13Kick-off on June 25, 2023 at 02:00 PM (UTC)Råby IP 3, Västerås
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What was the result of Franke vs Hudiksvall?
Hudiksvall won 1-3 on June 25, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Franke have 3 wins, 4 draws and 8 defeats; Hudiksvall have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 20, 2023 | Rågsved(away) | 1-1 | Svenska Cupen |
| Jun 17, 2023 | Kungsängen(away) | 0-2 | Division 2 - Norra Svealand |
| Jun 11, 2023 | Skiljebo(home) | 1-1 | Division 2 - Norra Svealand |
| Jun 4, 2023 | Karlberg(away) | 2-2 | Division 2 - Norra Svealand |
| May 27, 2023 | Uppsala(home) | 2-1 | Division 2 - Norra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 11, 2023 | Järfälla(away) | 0-2 | Division 2 - Norra Svealand |
| Jun 6, 2023 | Enskede(home) | 1-2 | Division 2 - Norra Svealand |
| Jun 3, 2023 | Arlanda(home) | 2-0 | Division 2 - Norra Svealand |
| May 27, 2023 | Kvarnsveden(away) | 3-1 | Division 2 - Norra Svealand |
| May 21, 2023 | Viggbyholms IK(home) | 5-0 | Division 2 - Norra Svealand |
How many goals should we expect?
Franke score 1.1 and concede 2.0 goals per match over their last 15; Hudiksvall score 2.3 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Franke | 1.1 | 2.0 | 1 | 10/15 | 9/15 |
| Hudiksvall | 2.3 | 1.1 | 5 | 8/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 7 | Franke | 25 | 10 | 4 | 11 | 45 | 43 | 34 |
A question about Franke vs Hudiksvall?
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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