The release of the 2026 Panhellenic Examination results and statistical data for General High Schools has provided a much clearer picture of this year’s university admission score trends. Analysis of the results shows that there is no single nationwide pattern. Instead, four distinct trends are emerging across Greece’s four Scientific Fields, with the largest increases expected in Engineering (Polytechnic) Schools and the most significant declines forecast for Economics and Computer Science departments.

The results reflect the varying levels of difficulty across the examination subjects, the distribution of high scores, and changes in the number of candidates. As a result, estimating admission thresholds requires sophisticated statistical analysis rather than a simple comparison of average grades.

This year’s projections were prepared for ProtoThema.gr by PIXIDAedu educational analyst Konstantinos Papagiannoulis, who has developed an advanced forecasting model combining modern algorithmic techniques with multifactor statistical analysis to estimate admission score trends as accurately as possible.

According to Papagiannoulis, reliable estimates are useful not only for understanding likely admission thresholds but also for helping students strategically complete their university preference forms. While students are generally encouraged to list every department that interests them, an excessively long list can create two major problems: it may undermine strategic planning—including transfer opportunities—and lead candidates to rank departments within their realistic reach much lower than they should.

Four Different Trends Across the Scientific Fields

Statistical analysis indicates that this year’s admission scores are developing along four distinct patterns.

The Second Scientific Field (Engineering and Physical Sciences) shows the strongest upward momentum. Higher student performance is expected to lead to significant increases in admission scores for Engineering Schools and most science-related departments.

The Third Scientific Field (Health Sciences) is also expected to see rising admission thresholds, although at a more moderate pace. Improved performance in Physics has strengthened the field overall, but weaker results in Biology and Chemistry are expected to limit gains for medical and health-related schools.

In contrast, the First Scientific Field (Humanities, Law and Social Sciences) is expected to experience mild downward pressure due to lower scores in Ancient Greek.

The sharpest decline is forecast in the Fourth Scientific Field (Economics and Computer Science), where weak performance in Economics is expected to affect nearly all economics, business administration and many computer science departments.

If students’ application preferences remain broadly similar to last year’s, the forecasts point to:

• A significant increase in Engineering School admission scores.
• A modest increase in Health Sciences.
• A slight decline in Humanities and Law.
• More pronounced decreases in Economics and Computer Science departments.

How the Estimates Were Produced

The analysis is based on a sophisticated forecasting model that incorporates eight different categories of data, rather than relying solely on average examination scores.

According to the study, the model’s 2025 forecasts had an average deviation of just 180 points, while for departments with admission thresholds above 15,000 points, the average error was less than 90 points, demonstrating the methodology’s high level of accuracy.

The accompanying tables present estimates for 247 single-field university departments, meaning programs that admit students from only one Scientific Field. Admission score estimates have been rounded to the nearest ten points and represent the statistically most likely outcome based on the available data.

However, the estimates are not guarantees. The single most important factor affecting the final admission scores remains unknown until students submit their official university preference forms. Consequently, the figures represent the most statistically probable scenario, not the final official admission thresholds.