Gamla Upsala vs Mora: result 2-2 and analysis
Division 2 - Norra SvealandRegular Season - 25Kick-off on October 13, 2018 at 01:00 PM (UTC)Gamlis IP, Uppsala
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What was the result of Gamla Upsala vs Mora?
Gamla Upsala and Mora drew 2-2 on October 13, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Gamla Upsala have 4 wins, 5 draws and 6 defeats; Mora have 6, 1 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2018 | Sundbyberg(away) | 3-4 | Division 2 - Norra Svealand |
| Sep 29, 2018 | Valbo(away) | 0-0 | Division 2 - Norra Svealand |
| Sep 22, 2018 | Vasalund(home) | 2-1 | Division 2 - Norra Svealand |
| Sep 15, 2018 | Stocksund(home) | 2-1 | Division 2 - Norra Svealand |
| Sep 8, 2018 | Skiljebo(away) | 3-3 | Division 2 - Norra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2018 | Stocksund(home) | 1-8 | Division 2 - Norra Svealand |
| Sep 29, 2018 | Norrtälje(home) | 2-2 | Division 2 - Norra Svealand |
| Sep 22, 2018 | Lidingö(away) | 3-1 | Division 2 - Norra Svealand |
| Sep 15, 2018 | Strömsberg(away) | 2-0 | Division 2 - Norra Svealand |
| Sep 8, 2018 | Täby(home) | 0-5 | Division 2 - Norra Svealand |
What does the head-to-head say?
In the last meeting: 1 Gamla Upsala win, 0 draws, 0 Mora wins.
| Date | Score | Competition |
|---|---|---|
| Jun 24, 2018 | Mora 1-4 Gamla Upsala | Division 2 - Norra Svealand |
How many goals should we expect?
Gamla Upsala score 1.6 and concede 1.7 goals per match over their last 15; Mora score 1.7 and concede 3.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gamla Upsala | 1.6 | 1.7 | 1 | 11/15 | 10/15 |
| Mora | 1.7 | 3.3 | 4 | 8/15 | 13/15 |
Over the last 15 matches in all competitions.
A question about Gamla Upsala vs Mora?
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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