Kara Gostar vs Shenavarsazi Qeshm: match statistics

Kara Gostar at home this season has a record of 2:2 (averaging 1.0 goals scored and 1.0 conceded per match) with 2 draws, 0 wins and 0 losses, equating to 100% draws at home. Shenavarsazi Qeshm score only 0.27 goals per away match and fail to score in 80% of their away fixtures; over the season they have 17 goals scored and 31 conceded, indicating serious issues with offensive output and defensive stability. The visitors concede on average 1.27 goals away and have a negative away goal difference of -15, while their away xG is 0.72 versus xG against 1.33, suggesting low quality of created chances and vulnerability to conceding. In the last 5 matches Shenavarsazi scored 5 goals (2 wins, 3 losses), whereas Kara have 2 goals and 2 draws in that period with PPG 1.0, giving the hosts an advantage in points and stability. Considering the visitors’ low conversion rate (~4% on the road), high share of goalless away matches (80%) and the hosts’ superiority in average goals scored (1.0 vs 0.27), I tip a Kara Gostar win.

The primary signal is the visitors' poor finishing — an average of 0.27 goals per match and failing to score in 80% of games, which significantly reduces BTTS likelihood. The home side score 0.87 goals and keep a clean sheet in 53% of matches, with season BTTS at 33% for hosts versus 20% for guests; in the league BTTS occurs in only 30% of matches, with 94% of fixtures featuring at least one clean sheet. Although the hosts had BTTS in 100% of their last 5 matches, their recent attacking xG is only 0.58 vs xG against 0.16, suggesting limited offensive quality in the short term. The visitors scored 5 and conceded 8 in their last 5 matches, and their season shot conversion rate is only 4% (vs 13% for the hosts), so chances created rarely become goals. Based on this, the "No" scenario is stronger — I predict no both teams to score (No 80% vs Yes 20%).

xG and result analysis point to a low-goal projection: home xG 1.38 vs away xG 0.72, and opponent xG against 1.33 and 1.54. After adjusting for historical xG–goals difference (~0.48) I expect 0.90 goals for the home side and 0.68 for the away (total 1.58). This season homes average 0.87 goals, aways 0.27, and the league average is 1.52 goals per match, confirming low offensive productivity for both teams. Shot and efficiency metrics also support a low-scoring outcome: home 8.0 shots and 2.67 on target with 13% conversion, away 4.67 and 1.67 with 4% conversion, which weakens the away side’s ability to generate multiple goals. Additionally, homes have 53% clean sheets, BTTS rates are 33% for homes and 20% for aways, and over 2.5 shares are 27%/20% (home/away), so a 4+ goals scenario is unlikely. Using a Poisson distribution with λ=1.58 yields ≈47% for Over 1.5, ≈21% for Over 2.5 and ≈8% for Over 3.5 — the strongest signal is therefore an “under” on the 3.5 line (very low probability of 4+ goals).

Statistical analysis indicates the most likely scenario is a draw at Half-Time and a home win at Full-Time (X/1). The home team are level at the break in 64% of matches, have a higher xG (1.38 vs 0.72), more on-target shots on average (2.67 vs 1.67) and a higher shot conversion rate (13% vs 4%), which gives them an advantage in creating and converting chances. In the second half the home side score an average of 0.64 goals and record at least one goal after the break in 64% of matches, whereas the visitors score an average of 0.27 goals per game and concede an average of 1.27 goals, so the probability of the home team overturning the draw is high. The home side lead at Half-Time in only 21% of matches but earn an average of 1.36 points in second halves, hence the X/1 Half-Time/Full-Time scenario is most strongly supported by the numbers.