Viby vs Hedensted: result 2-1 and analysis
Denmark Series - Group 3Regular Season - 8Kick-off on September 27, 2013 at 03:00 PM (UTC)Viby Idrætspark, Viby J
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What was the result of Viby vs Hedensted?
Viby won 2-1 on September 27, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Viby have 5 wins, 7 draws and 3 defeats; Hedensted 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 |
|---|---|---|---|
| Sep 22, 2013 | Aarhus Fremad II(away) | 3-0 | Denmark Series - Group 3 |
| Sep 14, 2013 | Hobro II(home) | 1-1 | Denmark Series - Group 3 |
| Sep 7, 2013 | Randers Freja(away) | 1-0 | Denmark Series - Group 3 |
| Sep 4, 2013 | Djursland(home) | 3-7 | DBU Pokalen |
| Aug 31, 2013 | Kjellerup(away) | 1-2 | Denmark Series - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2013 | Lyseng(home) | 2-0 | Denmark Series - Group 3 |
| Sep 14, 2013 | Varde(away) | 2-2 | Denmark Series - Group 3 |
| Sep 7, 2013 | Hjørring IF(home) | 2-0 | Denmark Series - Group 3 |
| Aug 31, 2013 | Lindholm(away) | 0-1 | Denmark Series - Group 3 |
| Aug 28, 2013 | Svendborg(home) | 5-5 | DBU Pokalen |
How many goals should we expect?
Viby score 1.9 and concede 1.7 goals per match over their last 15; Hedensted score 2.0 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Viby | 1.9 | 1.7 | 3 | 12/15 | 9/15 |
| Hedensted | 2.0 | 1.7 | 4 | 9/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Hedensted | 17 | 3 | 6 | 8 | 26 | 31 | 15 |
A question about Viby vs Hedensted?
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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