Zalaegerszegi TE vs Puskás: match statistics

Zalaegerszegi TE holds a clear statistical advantage as the home side: at home they average 1.81 goals with an average xG of 1.64, while Puskás score 1.25 goals away with xG 1.33. The hosts average 14.06 shots per match with 5 on target at home, versus the visitors' 11.25 shots and 3.69 on target away, and their shot conversion is 13% compared to Puskás's 11%, translating into more high-quality chances. Defensively Zalaegerszegi concede 1.0 goal at home on average and keep a clean sheet in 38% of matches, whereas Puskás concede 1.13 goals away and keep a clean sheet in 25% of games, giving the hosts a slight defensive edge. In the last 5 matches the hosts scored 9 goals and average 1.4 points per game, while the visitors scored 6 goals and average 1.2 points per game with comparable goals conceded (7 vs 8). Based on xG, shot volume and defensive efficiency I predict a home win; I assign it 60% probability, a draw 22% and an away win 18%.

I back BTTS - Yes with high confidence because seasonal indicators for both teams are strong: Zalaegerszegi BTTS 67%, Puskás 56%, league average 60%. Zalaegerszegi generates xG 1.79 per game with 14.93 shots and 5.13 on target, scoring 1.2 and conceding 1.47 seasonally, indicating chances created while remaining vulnerable to conceding. Puskás posts xG 1.33 with 11.25 shots and 3.69 on target, scoring 1.25 and conceding 1.13 over the season; however, in the last 5 matches they concede 1.6 on average and their BTTS in the last 5 is 60%, so they also frequently allow goals. Clean sheets are rare: Zalaegerszegi 20% and Puskás 25% seasonally, and the league records 2.96 goals per game on average, further supporting both teams to score. Therefore the "Yes" scenario is more likely (~70% vs 30%).

The model based on xG and opponent defenses yields a combined expected goals total of 3.04: Zalaegerszegi 1.62 (xG_for 1.79 vs opponents’ xG_against 1.45) and Puskás 1.42 (xG_for 1.33 vs opponents’ xG_against 1.51). Season-to-date Zalaegerszegi have 87% of matches over 1.5 goals, Puskás 69%, and in 67% of home matches and 56% of away matches both teams have scored, which increases the probability of at least two goals. In the last 5 matches the home side have averaged 1.8 goals (9 in 5) with xG 1.6, the visitors 1.2 goals (6 in 5) with xG 1.47, and the home side average 14.93 shots (5.13 on target) versus the visitors’ 11.25 (3.69 on target). Considering the expected 3.04 goals and the above comparisons, the model estimates the chance of Over 1.5 at approximately 81%, Over 2.5 at 59% and Over 3.5 at 36%. Therefore the strongest and safest signal from the data is Over 1.5.

The most likely scenario is a draw at half-time and an away win at full-time (X/2). Zalaegerszegi were level at the break in 47% of home matches, while Puskás were level at half-time in 31% of away games, increasing the probability of a stalemate in the first 45 minutes; additionally, the hosts average 0.47 goals by half-time and the visitors 0.63, so an absence of a clear lead is common. In second halves Puskás collected 27 points versus 19 for the hosts and average 1.69 points in the second half compared to Zalaegerszegi’s 1.27, while the visitors were trailing at half-time in 50% of matches, suggesting frequent turnarounds. Seasonal indicators also favor the away team: Puskás’ win rate is 44% versus Zalaegerszegi’s 33%, average points 1.5 vs 1.2; although the hosts generate more xG (1.79 vs 1.33) and more shots on target (5.13 vs 3.69), their shot conversion is lower (8% vs 11%), which increases the likelihood of an away comeback after the break. For these reasons the HT/FT pick X/2 is the strongest statistical signal.