Mora vs Lidingö: result 3-2 and analysis
Division 2 - Norra SvealandRegular Season - 10Kick-off on June 9, 2018 at 02:00 PM (UTC)
Full time
What was the result of Mora vs Lidingö?
Mora won 3-2 on June 9, 2018.
What is the recent form of both teams?
Over their last 9 matches in all competitions, Mora have 1 win, 1 draw and 7 defeats; Lidingö 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 2, 2018 | Norrtälje(away) | 3-2 | Division 2 - Norra Svealand |
| May 26, 2018 | Strömsberg(home) | 0-1 | Division 2 - Norra Svealand |
| May 20, 2018 | Täby(away) | 1-5 | Division 2 - Norra Svealand |
| May 12, 2018 | Karlberg(home) | 0-2 | Division 2 - Norra Svealand |
| May 5, 2018 | Sundbyberg(away) | 0-3 | Division 2 - Norra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 2, 2018 | Gute(home) | 0-1 | Division 2 - Norra Svealand |
| May 27, 2018 | Vasalund(away) | 0-2 | Division 2 - Norra Svealand |
| May 18, 2018 | Valbo(home) | 2-0 | Division 2 - Norra Svealand |
| May 12, 2018 | Stocksund(away) | 2-1 | Division 2 - Norra Svealand |
| May 5, 2018 | Gamla Upsala(home) | 1-0 | Division 2 - Norra Svealand |
How many goals should we expect?
Mora score 0.8 and concede 2.3 goals per match over their last 9; Lidingö score 1.3 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mora | 0.8 | 2.3 | 1 | 4/9 | 6/9 |
| Lidingö | 1.3 | 1.3 | 5 | 6/15 | 7/15 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Lidingö | 25 | 6 | 5 | 14 | 29 | 54 | 23 |
A question about Mora vs Lidingö?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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