Hillerød vs B 93: result 0-3 and analysis
2nd Division - Group 2Regular Season - 9Kick-off on September 22, 2018 at 12:00 PM (UTC)Right to Dream Park, Farum
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What was the result of Hillerød vs B 93?
B 93 won 0-3 on September 22, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Hillerød have 5 wins, 5 draws and 5 defeats; B 93 have 8, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 15, 2018 | HIK(away) | 1-1 | 2nd Division - Group 2 |
| Sep 9, 2018 | Slagelse B&I(away) | 0-1 | 2nd Division - Group 2 |
| Sep 5, 2018 | NB Bornholm(away) | 2-0 | DBU Pokalen |
| Sep 1, 2018 | Frem(home) | 2-1 | 2nd Division - Group 2 |
| Aug 26, 2018 | AB Copenhagen(away) | 1-1 | 2nd Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Aug 26, 2018 | Avarta(away) | 1-0 | 2nd Division - Group 2 |
What does the head-to-head say?
Across the last 2 meetings: 1 Hillerød win(s), 0 draw(s), 1 B 93 win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 23, 2017 | Hillerød 3-1 B 93 | 2. Division |
| Aug 26, 2017 | B 93 6-0 Hillerød | 2. Division |
How many goals should we expect?
Hillerød score 1.6 and concede 1.4 goals per match over their last 15; B 93 score 1.3 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Hillerød | 1.6 | 1.4 | 2 | 9/15 | 9/15 |
| B 93 | 1.3 | 1.7 | 4 | 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 |
|---|---|---|---|---|---|---|---|---|
| 5 | Hillerød | 26 | 13 | 4 | 9 | 33 | 31 | 43 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy