Motala vs Huddinge: result 3-3 and analysis
Division 2 - Södra SvealandRegular Season - 10Kick-off on June 4, 2016 at 02:00 PM (UTC)Motala Idrottspark, Motala
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What was the result of Motala vs Huddinge?
Motala and Huddinge drew 3-3 on June 4, 2016.
What is the recent form of both teams?
Over their last 9 matches in all competitions, Motala have 4 wins, 2 draws and 3 defeats; Huddinge have 5, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 28, 2016 | Assyriska IF(away) | 1-2 | Division 2 - Södra Svealand |
| May 21, 2016 | Vimmerby(away) | 2-0 | Division 2 - Södra Svealand |
| May 14, 2016 | Värmbols(home) | 3-1 | Division 2 - Södra Svealand |
| May 8, 2016 | Aspudden-Tellus(away) | 1-0 | Division 2 - Södra Svealand |
| May 5, 2016 | Eskilstuna City(home) | 3-4 | Division 2 - Södra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 29, 2016 | Värmbols(home) | 2-2 | Division 2 - Södra Svealand |
| May 20, 2016 | Aspudden-Tellus(away) | 2-1 | Division 2 - Södra Svealand |
| May 15, 2016 | Eskilstuna City(home) | 3-0 | Division 2 - Södra Svealand |
| May 8, 2016 | Arameiska / Syrianska(away) | 0-1 | Division 2 - Södra Svealand |
| May 5, 2016 | Sylvia(home) | 3-1 | Division 2 - Södra Svealand |
How many goals should we expect?
Motala score 2.0 and concede 1.4 goals per match over their last 9; Huddinge score 2.2 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Motala | 2.0 | 1.4 | 3 | 6/9 | 6/9 |
| Huddinge | 2.2 | 1.7 | 1 | 7/9 | 8/9 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Huddinge | 26 | 9 | 3 | 14 | 48 | 64 | 30 |
A question about Motala vs Huddinge?
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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