PSPS vs Sumsel United: match statistics

PSPS have the edge and I back their win: in the last 5 matches they recorded 3 wins and 2 draws, scoring 14 goals (2.8 per game) and averaging 2.2 points per match. In home fixtures PSPS score 1.5 goals on average, register 10.73 shots of which 6.55 are on target and have an xG of 1.52, while Sumsel away posts an xG of 1.2 with 8.73 shots and 4.18 on target. Defensively the hosts are superior — they concede 1.0 goal at home on average and keep a clean sheet in 42% of matches, versus Sumsel conceding 1.5 goals away and only 25% clean sheets for the visitors. Despite being 4th in the table, Sumsel have poor away form: 25% wins, 58% losses and a -4 goal difference on the road, and only 7 goals in their last 5 matches (1.4 per game). Considering PSPS create more chances (6.55 on-target shots vs 4.18) and have better recent form (14 goals scored vs 7 for the opponents), I assess the probabilities as: home win 65%, draw 20%, away win 15%.

Statistics indicate a clear tilt toward a both teams to score scenario: PSPS averages 1.77 goals scored per match versus 1.50 conceded by Sumsel United, while Sumsel averages 1.17 scored versus 0.92 conceded by PSPS. In the last 5 matches PSPS averaged 2.8 goals scored and 0.8 conceded, whereas Sumsel in their last 5 averaged 1.4 scored and 1.4 conceded; both teams recorded BTTS in 60% of those five fixtures. Season-long BTTS rates are 69% for the home side and 50% for the visitors against a league average of 50%, suggesting PSPS significantly exceeds the league baseline for Goal/Goal matches. xG supports that the hosts create chances (xG 1.31) against an xG conceded by Sumsel of 1.54, while the visitors have xG 1.20 against an xG conceded by PSPS of 1.00 — both sides generate and allow sufficient expected goal opportunities. Additionally, average shots on target 4.69 vs 4.18 and a higher conversion 19% vs 14% favor goals from both teams, therefore I pick BTTS - Yes with an estimated probability of 72% vs 28% for No Goal.

Based on xG I calculate expected goals: home ≈1.43 (attacking xG 1.31 vs opponent xG conceded 1.54), away ≈1.10 (attacking xG 1.20 vs home xG conceded 1.00), total ≈2.53. With λ=2.53 the Poisson distribution estimates roughly ~72% chance of more than 1.5 goals (>=2), ~46% for Over 2.5 and ~25% for Over 3.5. Seasonal metrics confirm a strong signal for Over 1.5: homes have 85% of matches over 1.5, away 75%, while Over 2.5 is less certain (54% homes vs 42% away). Additionally, homes average 2.8 goals in the last 5 matches vs 1.4 for away, and BTTS is 69% (home) and 50% (away), which increases the likelihood of at least two goals; therefore the best signal is Over 1.5.

PSPS are the clear favorites: they average 1.77 goals per game versus Sumsel’s 1.17, concede 0.92 goals per game versus the visitors’ 1.50, and accumulate 2.15 points per game versus Sumsel’s 0.92, with a 62% win rate this season compared to 25% for their opponents. In the first half PSPS score an average of 0.69 goals compared to Sumsel’s 0.58 and have a lead at the break 31% across the season, but in the last 5 matches they led at the break in 4 of 5 (80%), while Sumsel concedes 0.67 goals by half-time. xG also favors the home side: PSPS’s average attacking xG is 1.31 versus 1.20 for Sumsel, and xG against PSPS is 1.00 versus 1.54 for the visitors; the home side’s shot conversion rate of 19% versus the visitors’ 14% increases the likelihood of turning chances into goals. Considering these figures, the most reliable scenario is PSPS leading at half-time and winning the match (HT/FT 1/1) — I assign this outcome a 56% probability, X/1 16%, 1/X 9% and X/X 10%, with the remainder distributed among other less likely turnarounds or a home defeat.