Ringkøbing vs Skjold Sæby: result 1-2 and analysis
Denmark Series - Group 2Relegation Round Group 2 - 4Kick-off on June 13, 2021 at 12:00 PM (UTC)Green Arena, Ringkøbing
Full time
What was the result of Ringkøbing vs Skjold Sæby?
Skjold Sæby won 1-2 on June 13, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ringkøbing have 6 wins, 5 draws and 4 defeats; Skjold Sæby have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 5, 2021 | Djursland(away) | 1-0 | Denmark Series - Group 2 |
| May 30, 2021 | Aarhus Fremad II(home) | 0-2 | Denmark Series - Group 2 |
| May 25, 2021 | Herning Fremad(away) | 2-1 | Denmark Series - Group 2 |
| May 16, 2021 | Tarup-Paarup(home) | 1-0 | Denmark Series - Group 3 |
| May 8, 2021 | OKS(away) | 1-1 | Denmark Series - Group 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 8, 2021 | Kolding B(away) | 1-3 | Denmark Series - Group 2 |
| Jun 5, 2021 | Varde IF Elite(home) | 1-0 | Denmark Series - Group 2 |
| May 24, 2021 | B 1913(home) | 0-3 | Denmark Series - Group 2 |
| May 16, 2021 | Tjørring(home) | 0-1 | Denmark Series - Group 4 |
| May 13, 2021 | Kjellerup(away) | 1-3 | Denmark Series - Group 4 |
How many goals should we expect?
Ringkøbing score 1.1 and concede 0.9 goals per match over their last 15; Skjold Sæby score 1.1 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ringkøbing | 1.1 | 0.9 | 5 | 7/15 | 4/15 |
| Skjold Sæby | 1.1 | 1.8 | 4 | 9/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Skjold Sæby | 18 | 7 | 5 | 6 | 29 | 29 | 26 |
A question about Ringkøbing vs Skjold Sæby?
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