Estimating the fundamental value of sports clubs and stadia: Application to Panathinaikos FC and Leoforosmes
Bibliographic record
Abstract
We propose a fundamental valuation model for sports clubs and stadia using discounted (adjusted) revenues. We argue that a sports club is a “quasi firm” that aims to balance budgets, achieve an efficient allocation of financial resources, and maximize revenues. Under this objective the sports club’s welfare and value are maximized. Then we offer a method for estimating the value of a sports club’s stadium. The proposed valuation model can be useful during acquisition negotiations or for assessing managerial performance. Combining the proposed model with stochastic Monte Carlo simulations, we estimate the brand-name value and the club’s total value of the football team of Panathinaikos, as well as the value of its iconic home ground, Apostolos Nikolaidis Stadium (known as Leoforos) located in the heart of Athens at Alexandra’s Avenue
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".