HamKam vs Lillestrøm: match statistics

I back a HamKam win (1). The hosts win 80% of home matches, average 2.0 goals per game at home and have not had a goalless home game (FTS 0%), scoring 9 goals in their last 5 matches, which yields 2.0 points per game over that period. Lillestrøm concede only 0.6 goals on average away and have 60% clean sheets, but score just 1.2 goals away and fail to score in 40% of away matches. Efficiency is key — HamKam convert 18% of shots at home versus Lillestrøm’s 9% on the road, despite the visitors taking more shots (13.8 vs 11.4) and enjoying higher possession (50% vs 45%). xG shows the visitors have higher expected goals away (xG For 1.56 vs 1.34 for HamKam), but the hosts are better at turning xG into goals, so I expect an even but slightly HamKam-favoured match.

Statistical analysis favors the "no" scenario due to Lillestrøm's defensive profile: 60% clean sheets this season and an average of 0.6 goals conceded on the road. HamKam score 2.2 goals at home on average and have a season BTTS of 60%, but their home clean sheets are only 20%, indicating hosts more often concede a response. From an xG quality perspective the visitors are at 1.56 vs HamKam's 1.49, however Lillestrøm have a low conversion rate of 9% despite 5.2 shots on target, while HamKam convert 18%, so the visitors may fail to turn chances into goals. Although Lillestrøm have conceded 1.4 goals on average in the last 5 matches, the season data (60% clean sheets and 0.6 GA away) and the visitors' low season BTTS of 20% form a strong defensive signal. Therefore I estimate BTTS - No at 65% and BTTS - Yes at 35%, selecting "no" as the best pick.

xG analysis shows: HamKam has xG_for 1.49, while Lillestrøm concedes xG at 1.67, yielding an expected ~1.58 goals for the home side; the visitors have xG_for 1.56 against HamKam’s xG conceded 1.33, i.e. ~1.45 expected goals. Total expected goals ≈ 3.03, slightly above the league average 2.99, favoring outcomes over common thresholds. Season data confirm HamKam’s attacking profile: 2.2 goals average at home, 100% of matches >1.5 and 80% >2.5, whereas Lillestrøm score 1.2 away and have only 20% of matches >2.5. Additionally, HamKam’s shot conversion is higher (18% vs 9% for Lillestrøm), increasing the likelihood that xG converts into goals. Based on a Poisson distribution with λ=3.03 I estimate Over 1.5 ≈ 81%, Over 2.5 ≈ 58% and Over 3.5 ≈ 36%, therefore the strongest signal from the data is Over 1.5.

Seasonal data show HamKam led at the break in 60% of matches (3 of 5) and averages 1.0 goals in the first half versus 0.2 for Lillestrøm, giving the home side a clear advantage before halftime. After the break Lillestrøm demonstrates offensive strength — they scored 2 goals in the 46–60 minute window and have 60% wins in second halves (wins_2hg_percentage_away = 60.0), while HamKam conceded 3 goals in 46–60 minutes, increasing the risk of losing a lead. Additionally, HamKam’s home matches feature 60% BTTS and 100% of games with at least one goal before the break (seasonOver05PercentageHT_home = 100.0), and xG is comparable: 1.49 for the home side versus 1.56 for the visitors. In the last 5 rounds the hosts are in better form ('wwdwl', 60% wins) than the visitors ('lwlwl', 40% wins), which supports the scenario of HamKam scoring the opening goal. For these reasons the most likely and strongest signal is HT/FT 1/X (HamKam leading at half-time, draw at full-time) — I combine HamKam’s 60% half-time leads, Lillestrøm’s 2 goals in 46–60 minutes and 60% BTTS as the main premises.