B 93 vs Esbjerg: result 2-2 and analysis
2. DivisionRegular Season - 11Kick-off on October 15, 2022 at 01:00 PM (UTC)Sundby Idrætspark, København
Full time
What was the result of B 93 vs Esbjerg?
B 93 and Esbjerg drew 2-2 on October 15, 2022.
Goalscorers
- 44′M. JørgensenEsbjerg
- 47′?B 93
- 67′?B 93
- 82′L. MontanoEsbjerg
What is the recent form of both teams?
Over their last 15 matches in all competitions, B 93 have 9 wins, 4 draws and 2 defeats; Esbjerg have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 8, 2022 | Frem(away) | 2-1 | 2. Division |
| Oct 1, 2022 | Brabrand(home) | 4-0 | 2. Division |
| Sep 25, 2022 | AB Copenhagen(away) | 1-3 | 2. Division |
| Sep 17, 2022 | Aarhus Fremad(home) | 1-0 | 2. Division |
| Sep 11, 2022 | Thisted FC(away) | 2-0 | 2. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 1, 2022 | Roskilde(away) | 1-0 | 2. Division |
| Sep 18, 2022 | Frem(away) | 4-3 | 2. Division |
| Sep 11, 2022 | HIK(home) | 4-0 | 2. Division |
| Sep 3, 2022 | Kolding IF(away) | 0-2 | 2. Division |
| Aug 26, 2022 | Aarhus Fremad(away) | 1-0 | 2. Division |
What does the head-to-head say?
In the last meeting: 1 B 93 win, 0 draws, 0 Esbjerg wins.
| Date | Score | Competition |
|---|---|---|
| Oct 13, 2016 | B 93 1-0 Esbjerg | DBU Pokalen |
How many goals should we expect?
B 93 score 1.8 and concede 1.1 goals per match over their last 15; Esbjerg score 1.7 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| B 93 | 1.8 | 1.1 | 6 | 9/15 | 8/15 |
| Esbjerg | 1.7 | 1.3 | 5 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | B 93 | 11 | 5 | 3 | 3 | 19 | 14 | 18 |
A question about B 93 vs Esbjerg?
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