B 93 vs Slagelse B&I: result 1-1 and analysis
2nd Division - Group 2Regular Season - 8Kick-off on September 15, 2018 at 01:00 PM (UTC)Sundby Idrætspark, København
Full time
What was the result of B 93 vs Slagelse B&I?
B 93 and Slagelse B&I drew 1-1 on September 15, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, B 93 have 8 wins, 1 draw and 6 defeats; Slagelse B&I have 10, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 8, 2018 | Frem(away) | 1-0 | 2nd Division - Group 2 |
| Sep 5, 2018 | HB Koge(home) | 1-3 | DBU Pokalen |
| Sep 1, 2018 | AB Copenhagen(home) | 1-4 | 2nd Division - Group 2 |
| Aug 26, 2018 | Avarta(away) | 1-0 | 2nd Division - Group 2 |
| Aug 22, 2018 | Vanløse(home) | 0-2 | 2nd Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 9, 2018 | Hillerød(home) | 1-0 | 2nd Division - Group 2 |
| Sep 1, 2018 | HIK(away) | 3-3 | 2nd Division - Group 2 |
| Aug 26, 2018 | Skovshoved(home) | 3-0 | 2nd Division - Group 2 |
| Aug 22, 2018 | Avarta(home) | 2-0 | 2nd Division - Group 2 |
| Aug 19, 2018 | AB Copenhagen(away) | 1-0 | 2nd Division - Group 2 |
How many goals should we expect?
B 93 score 1.3 and concede 1.7 goals per match over their last 15; Slagelse B&I score 2.1 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| B 93 | 1.3 | 1.7 | 4 | 8/15 | 8/15 |
| Slagelse B&I | 2.1 | 1.0 | 6 | 7/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Slagelse B&I | 26 | 9 | 5 | 12 | 29 | 33 | 32 |
A question about B 93 vs Slagelse B&I?
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