Shenavarsazi Qeshm vs Naft Gachsaran: match statistics

I back the home win. At home Shenavarsazi Qeshm clearly outcreates opponents: on average 8 shots and 2.67 on target per match with xG 1.38, versus Naft Gachsaran’s away numbers of 4 shots, 1.6 on target and xG 0.66. The hosts also defend better at home — conceding 0.71 goals per match and keeping a clean sheet in 57% of home games, while the visitors concede 1.07 goals away and have only 33% clean sheets. Naft Gachsaran, however, has superior overall season attacking numbers (21 goals scored vs. the hosts’ 13) and a better recent run: 1.6 points per match in their last five (2 wins, 2 draws, 1 loss) versus Shenavarsazi’s 0.8 PPM (2 goals scored and 3 losses in the last 5). In the last five matches the hosts conceded 6 goals and the visitors 4, which reduces the home defensive edge, but the differences in chance quality (xG and shot volume) still favor the home side. I therefore assess a 55% probability of a home win, 25% for a draw and 20% for an away win.

I forecast No BTTS (selection 'no') at 70% probability because both teams show very low goal output. Hosts average 0.86 goals per match, visitors 0.60, totaling only 1.46 expected goals per game, close to the league average of 1.5 — indicative of low-scoring fixtures. In the last 5 matches both teams recorded BTTS only 20% each; hosts scored 2 and conceded 6, visitors scored 3 and conceded 4, suggesting scoring typically comes from only one side. Season BTTS rates are 36% for hosts and 53% for visitors, but clean sheet rates are 36% and 33% respectively, while the league has only 28% BTTS matches — all weakening the case for both teams scoring. Additionally, visitors generate xG 0.66 and average 1.6 shots on target, whereas hosts show xG 0.0 and 0.0 shots on target, so the hosts’ offense looks very poor and further supports the 'no' scenario.

Expected goals are approximately 0.97 for Shenavarsazi Qeshm (scoring average 0.86 vs away conceded average 1.07) and 0.76 for Naft Gachsaran (scoring average 0.60 vs home conceded average 0.93), totaling 1.73 goals. A Poisson model with lambda = 1.73 yields probability of at least 2 goals (Over 1.5) around 51.6%, at least 3 goals (Over 2.5) around 25.1% and at least 4 goals (Over 3.5) around 9.9%. Seasonal stats confirm a moderate tendency to exceed 1.5 goals (home 64%, away 60%), but matches over 2.5 goals are rare (home 29%, away 27%) and over 3.5 goals almost nonexistent (0% and 7%). Combining the model and historical indicators gives estimates Over 1.5 ~57%, Over 2.5 ~27% and Over 3.5 ~7%, so the strongest signal is Under 2.5 (approx. 73% chance). I recommend betting Under 2.5, as the expected 1.73 goals and seasonal 29%/27% rates for Over 2.5 together with the low probability of 3+ goals provide a clear edge for Under 2.5.

Season data indicate a home advantage: the home team’s average goals scored are 0.86 versus 0.60 for away teams, and the home win rate is 43% compared to 7% for visitors, suggesting a higher probability of a home victory. In first halves the home side led at the break in 5 matches (36%) while the away side did so in only 2 (13%), and homes average 0.57 goals by half-time versus 0.27 for opponents, increasing the likelihood of an HT lead for the hosts. Additionally, home teams scored 6 of their 15 first-half goals between the 31st and 45th minutes, confirming a tendency to score late in the first half; at the same time the high frequency of half-time draws (50% for homes, 60% for away teams) gives weight to X/1 and X/X scenarios. Given the 36% rate of HT leads for the hosts and the 43% season win rate for homes, the strongest signal is a continuation of the half-time lead into a full-time win for the home team (1/1), and thus the highest probability is assigned to that combination.