Trollhättan vs Stenungsund: result 1-0 and analysis
Division 2 - Norra GötalandRegular Season - 10Kick-off on June 5, 2017 at 05:00 PM (UTC)Edsborgs IP, Trollhättan
Full time
What was the result of Trollhättan vs Stenungsund?
Trollhättan won 1-0 on June 5, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Trollhättan have 6 wins, 7 draws and 2 defeats; Stenungsund have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 29, 2017 | Skoftebyn(away) | 1-1 | Division 2 - Norra Götaland |
| May 24, 2017 | Lidköping(home) | 4-1 | Division 2 - Norra Götaland |
| May 20, 2017 | Lerum(away) | 3-0 | Division 2 - Norra Götaland |
| May 12, 2017 | Vänersborgs IF(home) | 1-1 | Division 2 - Norra Götaland |
| May 6, 2017 | FBK Karlstad(away) | 3-0 | Division 2 - Norra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 28, 2017 | Nordvärmland(home) | 1-2 | Division 2 - Norra Götaland |
| May 24, 2017 | Vänersborgs FK(away) | 1-2 | Division 2 - Norra Götaland |
| May 20, 2017 | Karlstad(home) | 1-1 | Division 2 - Norra Götaland |
| May 13, 2017 | Gauthiod(away) | 2-2 | Division 2 - Norra Götaland |
| May 6, 2017 | Vårgårda(home) | 0-1 | Division 2 - Norra Götaland |
How many goals should we expect?
Trollhättan score 2.0 and concede 1.3 goals per match over their last 15; Stenungsund score 1.9 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Trollhättan | 2.0 | 1.3 | 3 | 10/15 | 9/15 |
| Stenungsund | 1.9 | 1.5 | 1 | 12/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Stenungsund | 25 | 10 | 6 | 9 | 46 | 34 | 36 |
A question about Trollhättan vs Stenungsund?
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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