Frem vs Næsby: result 2-2 and analysis
2nd Division - Group 2Regular Season - 2Kick-off on August 15, 2015 at 01:00 PM (UTC)Valby Idrætspark, København
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What was the result of Frem vs Næsby?
Frem and Næsby drew 2-2 on August 15, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Frem have 6 wins, 5 draws and 4 defeats; Næsby have 3, 1 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 11, 2015 | LSF(away) | 2-2 | DBU Pokalen |
| Aug 9, 2015 | Fremad Amager(away) | 2-1 | 2nd Division - Group 2 |
| Aug 13, 2014 | HIK(away) | 1-2 | DBU Pokalen |
| Aug 28, 2013 | Naestved(home) | 2-2 | DBU Pokalen |
| Aug 14, 2013 | SC Egedal(away) | 4-0 | DBU Pokalen |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 11, 2015 | FC Fredericia(home) | 0-6 | DBU Pokalen |
| Aug 7, 2015 | Svendborg(home) | 2-2 | 2nd Division - Group 2 |
| Sep 24, 2014 | HB Koge(home) | 0-3 | DBU Pokalen |
| Aug 12, 2014 | Vojens(away) | 1-0 | DBU Pokalen |
| Sep 25, 2013 | FC Nordsjaelland(home) | 0-2 | DBU Pokalen |
How many goals should we expect?
Frem score 1.9 and concede 1.3 goals per match over their last 15; Næsby score 2.4 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Frem | 1.9 | 1.3 | 3 | 11/15 | 10/15 |
| Næsby | 2.4 | 2.3 | 3 | 2/8 | 6/8 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Frem sit 5th in 2nd Division - Group 2 (25 points from 17 matches) and Næsby sit 9th (18 points from 17 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | FremGroup 1 | 17 | 6 | 7 | 4 | 26 | 22 | 25 |
| 9 | NæsbyGroup 2 | 17 | 4 | 6 | 7 | 20 | 27 | 18 |
A question about Frem vs Næsby?
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