B 93 vs HIK: result 0-2 and analysis
2nd Division - Group 2Regular Season - 10Kick-off on September 29, 2018 at 01:00 PM (UTC)Sundby Idrætspark, København
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What was the result of B 93 vs HIK?
HIK won 0-2 on September 29, 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; HIK have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2018 | Hillerød(away) | 3-0 | 2nd Division - Group 2 |
| Sep 15, 2018 | Slagelse B&I(home) | 1-1 | 2nd Division - Group 2 |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2018 | Frem(away) | 1-2 | 2nd Division - Group 2 |
| Sep 19, 2018 | Avarta(home) | 2-0 | 2nd Division - Group 2 |
| Sep 15, 2018 | Hillerød(home) | 1-1 | 2nd Division - Group 2 |
| Sep 12, 2018 | Nykobing FC(home) | 1-2 | DBU Pokalen |
| Sep 1, 2018 | Slagelse B&I(home) | 3-3 | 2nd Division - Group 2 |
What does the head-to-head say?
Across the last 2 meetings: 2 B 93 wins, 0 draws, 0 HIK wins.
| Date | Score | Competition |
|---|---|---|
| Oct 8, 2016 | B 93 4-2 HIK | 2. Division |
| Sep 10, 2016 | HIK 0-2 B 93 | 2. Division |
How many goals should we expect?
B 93 score 1.5 and concede 1.7 goals per match over their last 15; HIK score 1.5 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| B 93 | 1.5 | 1.7 | 4 | 8/15 | 9/15 |
| HIK | 1.5 | 1.2 | 5 | 9/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | HIK | 26 | 16 | 5 | 5 | 39 | 25 | 53 |
A question about B 93 vs HIK?
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