Ringkøbing vs Næsby: result 1-3 and analysis
2nd Division - Group 2Group 2 - 10Kick-off on September 29, 2019 at 11:00 AM (UTC)Green Arena, Ringkøbing
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What was the result of Ringkøbing vs Næsby?
Næsby won 1-3 on September 29, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ringkøbing have 3 wins, 5 draws and 7 defeats; Næsby 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 |
|---|---|---|---|
| Sep 22, 2019 | AB Copenhagen(away) | 2-1 | 2nd Division - Group 2 |
| Sep 14, 2019 | Dalum(away) | 3-3 | 2nd Division - Group 2 |
| Sep 8, 2019 | VSK Århus(home) | 1-2 | 2nd Division - Group 2 |
| Aug 30, 2019 | Aarhus Fremad(away) | 0-4 | 2nd Division - Group 2 |
| Aug 25, 2019 | Vejgaard B(home) | 1-2 | 2nd Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 21, 2019 | Thisted FC(home) | 1-1 | 2nd Division - Group 2 |
| Sep 14, 2019 | VSK Århus(away) | 2-0 | 2nd Division - Group 2 |
| Sep 6, 2019 | Dalum(home) | 1-3 | 2nd Division - Group 2 |
| Sep 1, 2019 | AB Copenhagen(away) | 0-2 | 2nd Division - Group 2 |
| Aug 24, 2019 | Jammerbugt(away) | 2-3 | 2nd Division - Group 2 |
How many goals should we expect?
Ringkøbing score 1.0 and concede 1.7 goals per match over their last 15; Næsby score 2.4 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ringkøbing | 1.0 | 1.7 | 4 | 7/15 | 8/15 |
| Næsby | 2.4 | 1.6 | 6 | 6/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Ringkøbing sit 11th in 2nd Division - Group 2 (12 points from 17 matches) and Næsby sit 9th (18 points from 17 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Næsby | 17 | 4 | 6 | 7 | 20 | 27 | 18 |
| 11 | Ringkøbing | 17 | 2 | 6 | 9 | 21 | 37 | 12 |
A question about Ringkøbing vs Næsby?
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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