B 93 vs Næsby: result 0-1 and analysis
2nd Division - Group 2Regular Season - 4Kick-off on September 8, 2015 at 05:00 PM (UTC)Sundby Idrætspark, København
Full time
What was the result of B 93 vs Næsby?
Næsby won 0-1 on September 8, 2015.
What is the recent form of both teams?
Over their last 15 matches in all competitions, B 93 have 9 wins, 1 draw and 5 defeats; Næsby have 4, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 5, 2015 | Frem(away) | 1-0 | 2nd Division - Group 2 |
| Sep 1, 2015 | Holbæk B&I(away) | 2-4 | DBU Pokalen |
| Aug 23, 2015 | Fremad Amager(away) | 0-2 | 2nd Division - Group 2 |
| Aug 15, 2015 | Marienlyst(home) | 5-1 | 2nd Division - Group 2 |
| Aug 11, 2015 | Sundby(away) | 4-1 | DBU Pokalen |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 4, 2015 | Nykobing FC(home) | 2-0 | 2nd Division - Group 2 |
| Aug 21, 2015 | Dalum(home) | 0-2 | 2nd Division - Group 2 |
| Aug 15, 2015 | Frem(away) | 2-2 | 2nd Division - Group 2 |
| Aug 11, 2015 | FC Fredericia(home) | 0-6 | DBU Pokalen |
| Aug 7, 2015 | Svendborg(home) | 2-2 | 2nd Division - Group 2 |
How many goals should we expect?
B 93 score 1.7 and concede 1.0 goals per match over their last 15; Næsby score 2.1 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| B 93 | 1.7 | 1.0 | 5 | 6/15 | 6/15 |
| Næsby | 2.1 | 2.0 | 4 | 3/11 | 7/11 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
B 93 sit 7th in 2nd Division - Group 2 (20 points from 17 matches) and Næsby sit 9th (18 points from 17 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | B 93Group 1 | 17 | 4 | 8 | 5 | 17 | 24 | 20 |
| 9 | NæsbyGroup 2 | 17 | 4 | 6 | 7 | 20 | 27 | 18 |
A question about B 93 vs Næsby?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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