Frederikssund vs Solrød: result 2-2 and analysis
Denmark Series - Group 1Group 1 - 9Kick-off on October 2, 2021 at 11:00 AM (UTC)Frederikssund Stadion, Frederikssund
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What was the result of Frederikssund vs Solrød?
Frederikssund and Solrød drew 2-2 on October 2, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Frederikssund have 6 wins, 3 draws and 6 defeats; Solrød have 2, 0 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 25, 2021 | Herstedøster(away) | 4-1 | Denmark Series - Group 1 |
| Sep 18, 2021 | Greve(home) | 1-1 | Denmark Series - Group 1 |
| Sep 11, 2021 | Ishøj(home) | 2-7 | Denmark Series - Group 1 |
| Sep 4, 2021 | Avarta(away) | 2-4 | Denmark Series - Group 1 |
| Aug 31, 2021 | Frem(home) | 0-1 | DBU Pokalen |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 25, 2021 | Avarta(home) | 0-3 | Denmark Series - Group 1 |
| Sep 18, 2021 | Allerød(away) | 0-2 | Denmark Series - Group 1 |
| Sep 11, 2021 | Brønshøj(home) | 1-2 | Denmark Series - Group 1 |
| Sep 4, 2021 | B 1903(away) | 0-1 | Denmark Series - Group 1 |
| Aug 27, 2021 | BK Union(home) | 2-0 | Denmark Series - Group 1 |
How many goals should we expect?
Frederikssund score 2.7 and concede 1.9 goals per match over their last 15; Solrød score 1.1 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Frederikssund | 2.7 | 1.9 | 1 | 11/15 | 11/15 |
| Solrød | 1.1 | 2.2 | 1 | 4/10 | 7/10 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Frederikssund | 18 | 8 | 1 | 9 | 24 | 25 | 25 |
A question about Frederikssund vs Solrød?
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