Liepāja vs Grobiņa: match statistics

I back the home win (1). Liepāja has a clearer attacking output and better form: 9 goals this season versus 4 for Grobiņa and 6 goals in the last 5 matches compared to 2 for their opponents. At home Liepāja averages 1.00 goal and 9.25 shots per game with 3.5 on target, and an average xG of 1.19; Grobiņa away averages 1.00 goal per game, 9.5 shots and xG 1.19, so the quality of chances is similar, but the hosts have slightly more shots on target. The visitors’ biggest strength is their away defense — only 0.5 goals conceded on average and 50% clean sheets, whereas Liepāja concedes 1.25 goals at home and has 0% clean sheets, suggesting a low-scoring affair. Considering better PPG in the last 5 matches (1.0 vs 0.4) and a higher number of goals scored (9 vs 4), I give the hosts a 60% chance, a draw 25% and an away win 15%.

The strongest signal against BTTS comes from Liepāja’s home statistics: seasonal home goals average is 0.0, home xG 0.67, season share of home matches with both teams scoring is 0% and home shot conversion is 0%. Grobiņa away averages 1.0 goals, xG 1.19, 3.25 shots on target and 11% conversion, but concedes only 0.5 goals away and has 50% clean sheets, indicating the visitors can both score and keep clean sheets. In the last 5 matches Liepāja had BTTS in 80% of games, scored 6 goals (1.2 avg) and conceded 8 (1.6 avg), while Grobiņa in their last 5 had BTTS 40%, scored 2 goals (0.4 avg) and conceded 7 (1.4 avg) — short-term signals are mixed. Additionally the league has an overall BTTS rate of 61%, which normally increases the probability of Goal/Goal, but the extreme 0.0 home goals for Liepāja and zero home conversion outweigh toward No Goal. As a result I consider the 'BTTS - No' scenario more likely and assign 65% to No BTTS and 35% to BTTS (Goal/Goal).

Based on the last 5 matches I calculated expected goals: home 1.60 (last 5 xG attack 1.58 vs away defense 1.61), away 1.07 (last 5 xG attack 0.91 vs home defense 1.23), total 2.67. A Poisson distribution for mean 2.67 gives roughly a 75% chance of Over 1.5 goals, about 52% for Over 2.5 and about 28% for Over 3.5, therefore I favor Over 1.5 as the strongest signal. This is supported by form data: the home side scored 6 goals in the last 5 matches and had 60% of matches Over 2.5, while the league average is 2.8 goals per match with 51% of matches Over 2.5. Both teams have 100% of matches with at least one goal this season, reducing the risk of a 0-0, however the away side has 50% clean sheets this season and more shots on average (away 9.5 shots and 3.25 on target vs home 5.25 and 1.25), so Over 2.5 is only marginal value compared to Over 1.5.

The home team is virtually non-existent by half-time — averaging 0.0 goals in the first half and 0% of matches with a lead at the break, while the visitors score on average 0.75 goals by half-time and led at the break in 50% of fixtures. Offensively the visitors also look superior: their xG is 1.19 versus 0.67 for the hosts, they average 9.5 shots compared to 5.25, and a conversion rate of around 11% versus 0% for the home side, which increases the likelihood of their scoring. Additionally, the hosts concede on average 1.75 goals per match while the visitors concede only 0.5, supporting a visitors' win after 90 minutes. Therefore the most probable scenario is the visitors leading at half-time and winning the match (2/2) — I assign it a 36% probability; the next significant options are a half-time draw and visitors winning (X/2, 22%) and visitors leading at half-time with a final draw (2/X, 18%). A home lead at half-time is deemed very unlikely (hence 0% for variants starting with '1/'), consistent with the facts of 0.0 HT goals and 0% HT leads.