Adhyaksa vs Persiraja Banda Aceh: match statistics

I predict a home win — Adhyaksa have scored 54 goals this season versus Persiraja’s 35, averaging 3.33 goals per home match with a home goal difference of +25. The chance creation metrics favor Adhyaksa as well: 15.42 shots and 6.25 on target at home with xG 1.89, while Persiraja away average 10.09 shots, 3.73 on target and xG 1.28. The hosts are significantly more efficient — home conversion rate 22% versus 10% for the visitors, and the proportion of matches without a goal is only 8% for Adhyaksa versus 45% for Persiraja, increasing the likelihood that the hosts will score. Defensively the differences are smaller (Adhyaksa concede 1.25 goals at home, Persiraja concede 1.09 away), but Persiraja have a negative away goal difference -1 while Adhyaksa are +25 at home, which suggests an overall home advantage. Both teams are in solid form (last 5: Adhyaksa 3W-2D, Persiraja 3W-1D-1L and PPG 2.2 vs 2.0), so given the superiority in chance creation and finishing I assign 65% probability to the home team, 20% to a draw and 15% to an away win.

Statistical analysis favors a BTTS scenario: Adhyaksa has season BTTS at 67% and 80% in the last 5 matches, while Persiraja 45% seasonally and 60% in the last 5, which provides a clear Goal/Goal signal. Across the season Adhyaksa scores on average 2.0 and concedes 1.0, Persiraja scores 1.0 and concedes 1.09; in the last 5 matches average goals are 1.8 (home) and 1.6 (away) with concessions of 1.2 and 1.0, so both teams regularly create and concede goals. xG values confirm chance creation: Adhyaksa has xG_for 1.89 versus opponents xG_against 1.23, and Persiraja has xG_for 1.28 against the home defense xG_against 0.89, suggesting both sides have realistic scoring opportunities. Additionally Adhyaksa averages 7.18 shots on target vs 3.73 for Persiraja and has 54 goals scored versus 35 for the visitors, with relatively low clean sheet expected rates of 33% and 27%, which lowers the likelihood of a No Goal outcome. Considering the BTTS repeatability in form (80% vs 60%), average goals and xG, I estimate BTTS probability at around 70% and recommend a

The xG-based model (Adhyaksa xG_for 1.89 vs Persiraja xG_against 1.23 yields ~1.56 goals for the home side; Persiraja xG_for 1.28 vs Adhyaksa xG_against 0.89 yields ~1.09 goals for the visitors) produces a combined expected goals total of 2.65. With λ=2.65, the Poisson distribution translates to roughly a 74% chance of Over 1.5 goals, ~49% for Over 2.5 and ~27% for Over 3.5. The stats corroborate the home side’s offensive edge: Adhyaksa averages 2.0 goals per match, records 14.36 shots and 7.18 shots on target with a 14% conversion rate, while Persiraja averages 1.0 goal, 10.09 shots and 3.73 shots on target with a 10% conversion. Additionally, Adhyaksa have 83% of home matches with Over 1.5 goals and 50% with Over 2.5, and in the last 5 home games the hosts had 80% of matches Over 2.5, whereas Persiraja away sits at 45% and 27% respectively. In light of these figures the strongest and most reliable signal is an Over 1.5 (highest probability ~74%), while the 2.5 line is balanced and offers lower predictive value.

Statistics indicate a draw at Half-Time is the most likely outcome: hosts were level at the break in 50% of matches and visitors in 73%, with an average of 1.0 goals each by Half-Time. After the break Adhyaksa holds a clear advantage — they score on average 1.5 goals in the second half and win second halves in 75% of fixtures, while Persiraja scores 0.55 goals and wins the second half in only 18% of matches. Additionally, the hosts’ superiority in chance creation is evident: xG 1.89 vs 1.28, on average 7.18 shots on target vs 3.73 for the visitors, and conversion 14% vs 10%. For these reasons the most probable scenario is a draw at Half-Time followed by a home win at Full-Time (X/1).