Mora vs Gamla Upsala: result 1-4 and analysis
Division 2 - Norra SvealandRegular Season - 13Kick-off on June 23, 2019 at 02:00 PM (UTC)
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What was the result of Mora vs Gamla Upsala?
Gamla Upsala won 1-4 on June 23, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mora have 2 wins, 3 draws and 10 defeats; Gamla Upsala 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 15, 2019 | Karlberg(away) | 2-1 | Division 2 - Norra Svealand |
| Jun 6, 2019 | Täby(home) | 0-4 | Division 2 - Norra Svealand |
| Jun 2, 2019 | Enköping(away) | 1-4 | Division 2 - Norra Svealand |
| May 30, 2019 | Skiljebo(home) | 3-2 | Division 2 - Norra Svealand |
| May 26, 2019 | Gute(away) | 0-3 | Division 2 - Norra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 15, 2019 | Lidingö(home) | 2-0 | Division 2 - Norra Svealand |
| Jun 8, 2019 | Sundbyberg(away) | 3-0 | Division 2 - Norra Svealand |
| Jun 2, 2019 | Kvarnsveden(home) | 1-1 | Division 2 - Norra Svealand |
| May 29, 2019 | Kungsängen(away) | 5-2 | Division 2 - Norra Svealand |
| May 24, 2019 | Valbo(away) | 2-1 | Division 2 - Norra Svealand |
What does the head-to-head say?
Across the last 2 meetings: 0 Mora wins, 1 draw, 1 Gamla Upsala win.
| Date | Score | Competition |
|---|---|---|
| Oct 13, 2018 | Gamla Upsala 2-2 Mora | Division 2 - Norra Svealand |
| Jun 24, 2018 | Mora 1-4 Gamla Upsala | Division 2 - Norra Svealand |
How many goals should we expect?
Mora score 1.1 and concede 2.7 goals per match over their last 15; Gamla Upsala score 1.7 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mora | 1.1 | 2.7 | 1 | 10/15 | 13/15 |
| Gamla Upsala | 1.7 | 1.3 | 5 | 9/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Mora vs Gamla Upsala?
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