Assyriska BK vs Tord: result 3-1 and analysis
Division 2 - Västra GötalandVästra Götaland - 19Kick-off on August 4, 2021 at 05:00 PM (UTC)Ruddalens IP 1, Västra Frölunda
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What was the result of Assyriska BK vs Tord?
Assyriska BK won 3-1 on August 4, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Assyriska BK have 5 wins, 3 draws and 7 defeats; Tord have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 1, 2021 | Varbergs GIF(away) | 1-4 | Division 2 - Västra Götaland |
| Jul 11, 2021 | Torslanda(home) | 2-3 | Division 2 - Västra Götaland |
| Jul 7, 2021 | Onsala(home) | 3-0 | Division 2 - Västra Götaland |
| Jun 30, 2021 | Vinberg(home) | 3-1 | Division 2 - Västra Götaland |
| Jun 23, 2021 | Tord(away) | 1-3 | Division 2 - Västra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 10, 2021 | Vinberg(away) | 1-1 | Division 2 - Västra Götaland |
| Jul 7, 2021 | Husqvarna(home) | 0-1 | Division 2 - Västra Götaland |
| Jul 3, 2021 | Höganäs(away) | 2-4 | Division 2 - Västra Götaland |
| Jun 30, 2021 | Dalstorps(home) | 2-3 | Division 2 - Västra Götaland |
| Jun 27, 2021 | Västra Frölunda(home) | 1-1 | Division 2 - Västra Götaland |
What does the head-to-head say?
In the last meeting: 0 Assyriska BK wins, 0 draws, 1 Tord win.
| Date | Score | Competition |
|---|---|---|
| Jun 23, 2021 | Tord 3-1 Assyriska BK | Division 2 - Västra Götaland |
How many goals should we expect?
Assyriska BK score 1.5 and concede 2.6 goals per match over their last 15; Tord score 1.7 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Assyriska BK | 1.5 | 2.6 | 2 | 10/15 | 12/15 |
| Tord | 1.7 | 1.7 | 2 | 10/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Assyriska BK vs Tord?
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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