Paksi SE vs Puskás: match statistics

Paksi SE have 54 goals this season versus Puskás’ 36, and at home score on average 2.36 goals per match with xG 2.33 and 7.43 shots on target. Puskás away average 1.33 goals with xG 1.30 and only 3.8 shots on target, and their share of matches without scoring is 13% versus 7% for Paksi. In the last 5 matches the home side have scored 8 goals (2 wins, 2 draws, 1 loss, averaging 1.6 points per match), while the visitors scored 5 goals, averaged 0.8 points per match and conceded 9 goals in those five fixtures. Defensively, Puskás concede 1.13 goals away season-to-date vs 1.79 for hosts in home matches, yet recent form shows deterioration for the visitors (9 conceded in 5 matches vs 4 conceded by hosts in 5). Considering the xG advantage (2.33 vs 1.30), substantially higher number of shots on target (7.43 vs 3.8) and better finishing efficiency for the hosts, I forecast a Paksi victory as the most likely outcome.

Statistical analysis indicates a tilt toward BTTS - Yes — I estimate 63% for Yes and 37% for No, based on seasonal indicators: Paksi BTTS 71%, Puskás 60%, league average 61%. In the last 5 matches signals are mixed: Paksi had BTTS in 40% of games, Puskás in 80%, so the visitors have been involved in both-teams-to-score games more often in the short term. In goal terms Paksi scores 1.14 and concedes 1.57 per match, Puskás scores 1.33 and concedes 1.13; in the last 5 matches Paksi scored 8 and conceded 4, Puskás scored 5 and conceded 9, indicating both teams are capable of scoring and conceding. xG confirms offensive opportunities: Paksi attacking xG 1.74 vs Puskás 1.30, with xG against 1.51 (Paksi) and 1.47 (Puskás), which suggests chances for goals on both sides. Additionally clean sheets are rare (14% for Paksi, 27% for Puskás) — assuming independence this gives an approximate probability of No BTTS around 37% (14+27-3.8), therefore the strongest signal from the data is for Yes.

Summing offensive and defensive xG yields a forecast of 1.61 xG for Paksi (xG_for 1.74 and opponent xG_against 1.47 → (1.74+1.47)/2 ≈ 1.61) and 1.41 xG for Puskás (xG_for 1.30 and home xG_against 1.51 → (1.30+1.51)/2 ≈ 1.41), i.e. about 3.02 expected goals in total. This xG value (3.02) is clearly higher than the season average goals 1.14 (Paksi) + 1.33 (Puskás) = 2.47, and the home side averages 4.86 shots on target versus 3.8 for the visitors, which supports a higher goals outcome. A Poisson distribution with lambda=3.02 gives roughly an 80% chance of at least 2 goals (Over 1.5), about 58% for at least 3 goals (Over 2.5) and about 36% for at least 4 goals (Over 3.5); season over1.5 rates (Paksi 86%, Puskás 73%) further confirm the elevated level. Additionally, the share of matches where both teams scored is 71% for the hosts and 60% for the guests, increasing the likelihood of goals from both sides. On this basis the strongest signal from the data is Over 1.5 (line 1.5, side “Over”), with forecasted 1.61 and 1.41 goals for home and away respectively.

A draw at half-time appears common — Paks were level at the break in 7 of 14 matches (50%), and Puskás in 5 of 15 (33%), giving an average HT draw rate of about 41%; hosts score 0.43 goals by half-time on average, visitors 0.67. After the break Puskás have the edge: they average 1.6 points per match this season and win 47% of games, versus Paks’ 1.07 points and 29% win rate, so the visitors statistically accumulate more points in the closing stages. Second-half data confirm this — Puskás have a positive second-half goal difference (+5) and win 47% of second halves, while Paks are at -2 and win 28% of second halves, suggesting the visitors’ ability to produce a turnaround. Although Paks generate higher xG (1.74 vs. 1.30) and more shots (14.43 vs. 10.87), lower finishing efficiency (8% vs. 12%) and a worse season average of goals conceded (1.57 vs. 1.13) work in Puskás’ favor in the final phase. On this basis the most likely scenario is a half-time draw with an away win by full-time (X/2).