Viby vs Ringkøbing: result 1-1 and analysis
Denmark Series - Group 3Regular Season - 12Kick-off on October 24, 2015 at 01:00 PM (UTC)Viby Idrætspark, Viby J
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What was the result of Viby vs Ringkøbing?
Viby and Ringkøbing drew 1-1 on October 24, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Viby have 5 wins, 3 draws and 7 defeats; Ringkøbing have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 17, 2015 | Holstebro(away) | 2-1 | Denmark Series - Group 3 |
| Oct 10, 2015 | Aalborg Freja(home) | 5-2 | Denmark Series - Group 3 |
| Oct 3, 2015 | Vejgaard B(away) | 0-2 | Denmark Series - Group 3 |
| Sep 26, 2015 | AaB II(away) | 2-2 | Denmark Series - Group 3 |
| Sep 19, 2015 | Aabyhøj(home) | 1-1 | Denmark Series - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 18, 2015 | Aabyhøj(home) | 3-3 | Denmark Series - Group 3 |
| Oct 10, 2015 | Kjellerup(away) | 0-4 | Denmark Series - Group 3 |
| Oct 4, 2015 | Aarhus Fremad II(home) | 0-0 | Denmark Series - Group 3 |
| Sep 26, 2015 | Skanderborg(away) | 4-0 | Denmark Series - Group 3 |
| Sep 20, 2015 | Lystrup(home) | 2-0 | Denmark Series - Group 3 |
How many goals should we expect?
Viby score 1.7 and concede 1.6 goals per match over their last 15; Ringkøbing score 1.5 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Viby | 1.7 | 1.6 | 1 | 10/15 | 9/15 |
| Ringkøbing | 1.5 | 1.7 | 4 | 7/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 7 | Ringkøbing | 17 | 4 | 4 | 9 | 21 | 44 | 16 |
A question about Viby vs Ringkøbing?
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