Hudiksvall vs Mora: result 5-4 and analysis
Division 2 - Norra SvealandRegular Season - 20Kick-off on August 31, 2019 at 01:00 PM (UTC)Glysis Sparbanken Arena, Hudiksvall
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What was the result of Hudiksvall vs Mora?
Hudiksvall won 5-4 on August 31, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Hudiksvall have 6 wins, 4 draws and 5 defeats; Mora have 4, 1 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 24, 2019 | Lidingö(away) | 0-0 | Division 2 - Norra Svealand |
| Aug 17, 2019 | Sundbyberg(home) | 7-3 | Division 2 - Norra Svealand |
| Aug 11, 2019 | Kvarnsveden(away) | 2-2 | Division 2 - Norra Svealand |
| Aug 3, 2019 | Kungsängen(home) | 1-2 | Division 2 - Norra Svealand |
| Jul 7, 2019 | Karlberg(home) | 4-1 | Division 2 - Norra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 24, 2019 | Stocksund(home) | 0-3 | Division 2 - Norra Svealand |
| Aug 21, 2019 | Sundbyberg(home) | 1-4 | Division 2 - Norra Svealand |
| Aug 17, 2019 | Valbo(away) | 1-0 | Division 2 - Norra Svealand |
| Aug 10, 2019 | Lidingö(away) | 1-1 | Division 2 - Norra Svealand |
| Jul 6, 2019 | Kungsängen(home) | 3-1 | Division 2 - Norra Svealand |
What does the head-to-head say?
In the last meeting: 1 Hudiksvall win, 0 draws, 0 Mora wins.
| Date | Score | Competition |
|---|---|---|
| May 18, 2019 | Mora 1-2 Hudiksvall | Division 2 - Norra Svealand |
How many goals should we expect?
Hudiksvall score 1.7 and concede 1.4 goals per match over their last 15; Mora score 1.0 and concede 2.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Hudiksvall | 1.7 | 1.4 | 3 | 10/15 | 8/15 |
| Mora | 1.0 | 2.4 | 1 | 9/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Hudiksvall vs Mora?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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