The College TRB examination conducted on December 27 has marked an important milestone for postgraduate teaching aspirants across Tamil Nadu.
With the written examination now completed, the natural and most pressing question among candidates is:
This blog is a continuation of our earlier confirmed updates and aims to clearly explain the realities of cut-off prediction for the College TRB exam, while also highlighting why your participation through data submission is crucial.
The College TRB exam witnessed strong participation, with 40 thousand plus candidates appearing, accounting for nearly 89% of total applicants, while about 11% remained absent.
The most striking aspect of this recruitment is the 2,708 vacancies notified, which makes it significantly different from most other competitive examinations conducted in Tamil Nadu.
In typical TNPSC or state-level competitive exams, aspirants face intense competition—often lakhs of candidates competing for just 100–200 vacancies.
In contrast, the College TRB exam presents a rare and highly favorable scenario where high vacancies are matched with comparatively lower competition, combined with an attractive salary structure.
This makes the current recruitment cycle truly first of its kind and academically significant.
While candidates understandably look for cut-off numbers to assess their chances, it is important to understand that accurate cut-off prediction is not a guesswork exercise.
It requires structured analysis, ethical responsibility, and sufficient data. For any competitive examination, cut-off prediction typically depends on three major factors.
In most exams, trend analysis plays a major role. This includes studying:
However, the College TRB exam is being conducted for the first time, which means there is no historical data to refer to. Without previous benchmarks, any prediction based purely on assumptions would be academically unsound.
Unlike objective exams, the College TRB exam is descriptive in nature and also includes experience marks. This adds another layer of complexity:
Since the evaluation process and grading standards are known only to the examiners, predicting an exact cut-off becomes extremely difficult. Even candidates with similar content may receive different scores based on evaluation nuances.
This is where candidate participation becomes vital. Earlier, we circulated a Google Form ( in our Youtube Channel ) to collect marked data from candidates to enable a data-driven cut-off analysis. As of now, only 660 candidates have submitted their responses.
From a research methodology perspective, reliable prediction requires at least 6–8% of the total population. Given that around 40,000 plus candidates applied, we need approximately 2,500 to 3,400 responses to arrive at statistically meaningful conclusions.
Unfortunately, the current data volume is far below this requirement, and responses are also unevenly distributed across subjects.
Without sufficient and representative data, any cut-off figure would be speculative—and we firmly believe that providing random numbers is unethical and misleading.
At Professor Academy, our approach has always been rooted in transparency, credibility, and academic ethics.
We do not believe in sensational predictions or misleading assurances. Cut-off figures influence crucial life decisions, and inaccurate information can create unnecessary anxiety or false hope.
This is why we are taking a responsible stand: no random cut-offs, no baseless predictions—only data-backed insights.
If you have appeared for the College TRB exam and have not yet filled the form, your contribution is extremely valuable.
We have already released official answer keys for major subjects in the Official Youtube Channel
Candidates are requested to:
Every additional response improves the quality, accuracy, and reliability of our analysis.
If you have already submitted your form, we sincerely thank you. We also request you to share the form with your friends and peers, especially those from your subject area. Collective participation benefits the entire candidate community.
For certain subjects like English, we plan to present advanced analysis using mark distribution patterns and scatter plots. These visual tools help candidates understand score clustering, competition density, and relative positioning. However, such analysis is only possible when we receive adequate subject-wise data.
Currently, in some subjects, responses have been received from only two or three candidates, which makes meaningful analysis impossible. Data scarcity directly limits insight quality.
As postgraduate and research-level candidates, we trust that you understand the importance of data-driven decision-making. Participation in this process is not just about individual benefit—it is about building a collective academic resource that helps thousands of aspirants gain clarity during a crucial phase of their career.
If you have filled the cut-off form, thank you for your support. If not, we strongly encourage you to do so at the earliest and share it widely.
With higher participation, we can provide accurate, ethical, and meaningful cut-off insights that truly serve the candidate community.
We wish all candidates the very best for the upcoming stages of the College TRB recruitment process. Thank you for your cooperation and trust.
To know more about us
Contact us
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Email : enquiry@professoracademy.com
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