HB Køge vs Vejle: match statistics

Vejle holds a statistical edge: they sit 8th in the table versus HB Køge’s 12th and average 1.4 points per game in the last 5 fixtures compared to the hosts’ 0.8. In attack the visitors have scored 5 goals in their last 5 matches while the hosts scored 4 (1.0 vs 0.8 G/90 on average); defensively HB Køge conceded 5 goals in those five matches and Vejle 6 (1.0 vs 1.2 GA/90). Season-to-date Vejle have 2 goals scored and 2 conceded, whereas HB Køge show 0 scored and 3 conceded, indicating greater stability for the visitors. The visitors also have more wins in the last 5 (2 vs 1) and a better form run ('llwwd' vs 'dwlll'), therefore Vejle have a higher probability of success. Given the low goal efficiency of both teams (0.8–1.0 goals per game) and moderate goals conceded (5 and 6 in the last 5), a draw remains a possible outcome, but I forecast an away win for Vejle.

I back BTTS - Yes because HB Køge displays very strong offensive metrics: seasonal average xG 2.57 and 2.0 goals scored, with 7 shots on target and 26 shots per match. Vejle’s season data is partially incomplete (many fields at 0), but in the last 5 matches the away side averages 1.0 goals scored and 1.2 conceded with xG 1.3, indicating a genuine scoring threat. Both teams have conceded in their last 5 fixtures: HB Køge conceded 5 goals (avg 1.0), Vejle conceded 6 goals (avg 1.2), and 67% of league matches end BTTS, so a clean sheet is less likely. Additionally HB Køge has a seasonal BTTS rate of 100% in the data and recent xG against of 1.57; the combination of a 2.57 offensive xG and a vulnerable defense leads me to rate BTTS at approximately 70% versus 30% for No Goal.

Based on the last 5 matches, HB Køge has xG_for = 1.04 (scored 4, conceded 5) and Vejle has xG_for = 1.30 (scored 5, conceded 6), giving a combined xG = 2.34 (1.04+1.30). A Poisson model with λ = 2.34 estimates Over 1.5 ≈ 68% (≥2 goals), Over 2.5 ≈ 42% (≥3) and Over 3.5 ≈ 21% (≥4), so the strongest signal is Over 1.5. Home season stats reinforce this trend: HB Køge at home averages 2.0 goals per game, xG_for = 2.57, on average 26 shots and 7 shots on target per match, and in the provided data Køge’s home games show 100% Over1.5 and 100% Over2.5. Vejle’s seasonal data are partially incomplete (many fields = 0.0), while the league average is 2.83 goals per match, which gives moderate support for goals in the league overall. Due to incomplete data for Vejle, I recommend playing Over 1.5 as the safest and best justified pick (68% per the model).

HB Køge possesses a clear offensive advantage: the home side’s average xG is 2.57 versus 0.00 for Vejle, the hosts average 26 shots and 7 on target per match and have a season home goals average of 2.0, which suggests high chances to lead at the break. At the same time HB Køge concedes an average of 2.0 goals per home match, and season-long data show BTTS in 100% of their games, so the opponent has a realistic chance to score. The last 5 matches indicate weaker form for the hosts (form: dwlll, 20% wins in last 5) compared with Vejle (llwwd, 40% wins in last 5), and although the season share of half-time draws for the hosts is 100% (likely a small sample), in the most recent 5 fixtures the hosts led at the break in only 20% of cases. Considering the xG gap (2.57 vs 0.00), 26 shots and the season home goals average of 2.0, I assign the highest probability to the 1/1 scenario (38%) and a material probability to X/1 (22%), while scenarios with an away advantage are rated low overall (total 8%). Therefore the best HT/FT pick is 1/1: hosts lead at half-time and win at full-time, due to the clear xG and shot-volume advantage, though one must account for the risk of an away goal given the average 2.0 goals conceded.