Ringsted vs KFUM Roskilde: result 1-1 and analysis
Denmark Series - Group 2Regular Season - 11Kick-off on October 19, 2013 at 10:00 AM (UTC)Ringsted Stadion, Ringsted
Full time
What was the result of Ringsted vs KFUM Roskilde?
Ringsted and KFUM Roskilde drew 1-1 on October 19, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ringsted have 7 wins, 3 draws and 5 defeats; KFUM Roskilde have 3, 6 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 12, 2013 | Frem Sakskøbing(away) | 3-1 | Denmark Series - Group 2 |
| Oct 5, 2013 | Taastrup(home) | 1-1 | Denmark Series - Group 2 |
| Sep 28, 2013 | Krarup / Espe(away) | 4-3 | Denmark Series - Group 2 |
| Sep 21, 2013 | Aarup(home) | 3-0 | Denmark Series - Group 2 |
| Sep 14, 2013 | Greve(away) | 1-0 | Denmark Series - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 12, 2013 | Næsby II(home) | 1-1 | Denmark Series - Group 2 |
| Oct 5, 2013 | Slagelse B&I(away) | 0-0 | Denmark Series - Group 2 |
| Sep 29, 2013 | Marstal / Rise(away) | 2-2 | Denmark Series - Group 2 |
| Sep 21, 2013 | Frem Sakskøbing(home) | 3-1 | Denmark Series - Group 2 |
| Sep 14, 2013 | Taastrup(away) | 0-2 | Denmark Series - Group 2 |
How many goals should we expect?
Ringsted score 1.6 and concede 1.4 goals per match over their last 15; KFUM Roskilde score 1.7 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ringsted | 1.6 | 1.4 | 4 | 10/15 | 8/15 |
| KFUM Roskilde | 1.7 | 1.2 | 1 | 8/10 | 5/10 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Ringsted | 18 | 13 | 1 | 4 | 48 | 31 | 40 |
A question about Ringsted vs KFUM Roskilde?
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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