IFK Tidaholm vs Stenungsund: result 0-2 and analysis
Division 2 - Norra GötalandRegular Season - 13Kick-off on June 19, 2019 at 05:30 PM (UTC)Tidavallen 1, Tidaholm
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What was the result of IFK Tidaholm vs Stenungsund?
Stenungsund won 0-2 on June 19, 2019.
What is the recent form of both teams?
Over their last 12 matches in all competitions, IFK Tidaholm have 4 wins, 4 draws and 4 defeats; Stenungsund have 12, 1 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 13, 2019 | Lidköping(away) | 1-2 | Division 2 - Norra Götaland |
| Jun 8, 2019 | Nordvärmland(home) | 1-4 | Division 2 - Norra Götaland |
| Jun 1, 2019 | Alamal Atbara(away) | 0-0 | Division 2 - Norra Götaland |
| May 29, 2019 | Vänersborgs FK(home) | 2-1 | Division 2 - Norra Götaland |
| May 25, 2019 | Sävedalen(away) | 1-0 | Division 2 - Norra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 15, 2019 | Torslanda(home) | 3-2 | Division 2 - Norra Götaland |
| Jun 8, 2019 | Grebbestad(away) | 1-2 | Division 2 - Norra Götaland |
| Jun 2, 2019 | Örebro Syrianska(home) | 2-1 | Division 2 - Norra Götaland |
| May 29, 2019 | Gauthiod(away) | 2-1 | Division 2 - Norra Götaland |
| May 24, 2019 | Vänersborgs IF(home) | 1-0 | Division 2 - Norra Götaland |
How many goals should we expect?
IFK Tidaholm score 1.0 and concede 1.4 goals per match over their last 12; Stenungsund score 2.1 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| IFK Tidaholm | 1.0 | 1.4 | 5 | 7/12 | 6/12 |
| Stenungsund | 2.1 | 1.0 | 5 | 9/15 | 10/15 |
Over the last 12 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 IFK Tidaholm vs Stenungsund?
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