Aydın Tiryaki (May 18, 2026)
My Social Media Message Dated May 17, 2026
“Today, as Fenerbahçe goes into the Eyüpspor match, they must play as if they are stepping onto the pitch for a championship match. Today, as Galatasaray goes into the Kasımpaşa match, they must play as if they are stepping onto the pitch for a championship match. Because the results of these matches are of no importance to Fenerbahçe or Galatasaray, not taking these matches seriously would cast a very severe shadow over the League, and this would be heavily debated later. Therefore, both teams must take today’s matches very seriously. Otherwise, the delicate situation in the league’s relegation zone could jeopardize the future of the league. What matters above all is ‘Ethics’, ‘Fair Play’; the rest is meaningless…”
Note: I wrote this message as if I had predicted what would happen yesterday.
While industrial football has reached a financial magnitude of billions of dollars, it is increasingly struggling to protect the fairness and moral ground of competition on the pitch. This work is the chronological story of how an ethical crisis that occurred in the Türkiye Super League last night, causing deep rifts in public opinion, was transformed into a universal, objective, and unwavering mathematical audit model from the perspective of an engineer.
The steps I took following these developments ignited an algorithmic journey that will end the era of subjective intent-reading in football and initiate objective data forensics.
1. The Spark: Final Week Matches and the “Forgotten” Competition Ethics
Everything began when the crisis in the final week of the league last night was laid bare for all to see. The squads fielded yesterday by major teams like Fenerbahçe, Galatasaray, and Trabzonspor, who either share the top or whose positions in the league have been completely finalized, dealt a severe blow to the structural fairness of football.
The sudden benching of their core players by these clubs—players with no legitimate/medical excuses such as injuries or card suspensions—under the pretext of “we have no claims left” or “resting,” not only created an unfair advantage in favor of their opponents yesterday, but also spawned a massive inequality that usurped the rights of other teams fighting a life-or-death struggle in the lower ranks of the league.
In my initial assessment, I raised this crucial question: Does a team’s right to field a substitute squad of its own free will provide the legitimacy to manipulate the overall competitive integrity of the league and the fates of other teams?
It was very clear that federations and sports boards could not prevent such unethical rotations merely by “intent-reading” or through subjective penalties. The solution was to build a digital auditing mechanism, stripped of human initiative, that collides teams’ squad choices with their past stability curves to catch malicious intent red-handed. The theoretical foundations of the model were laid with this very rebellion.
2. The Engineering Approach and the Power of Data
In order to transform the idea into concrete software, I structured the process by passing it through a completely analytical and objective filter. I developed special normalization methods to eliminate instantaneous duration deviations arising from the internal dynamics of football, the data noise created by extra-time minutes, and variable external factors.
In this direction, I designed a dynamic mathematical infrastructure capable of comparing players’ instantaneous match data with their cumulative weights in past time series on the same scale. By selecting database architectures that would prevent unnecessary data bloating and sluggishness in the system, I ensured the software achieved the stability to operate instantaneously.
Since I have already written down all these theoretical layers, variable parameters, and functional structures as a completely independent and in-depth academic article, I am not including technical details within the scope of this study. The main point I focus on here is the operational power of the mathematical infrastructure in question as reflected on the pitch.
3. The Great Innovation: Pre-Match Deterrent Security Radar
While developing the model, I realized that merely presenting a retrospective forensic report after the match had ended would not be able to keep up with the pace of industrial football. The most radical innovation I brought to the system in this regard was the “Early Warning Mechanism”.
According to football rules, starting XI lineups are officially announced 60 minutes before the match begins. The software I developed has the capability to automatically trigger and run a pre-projection simulation the moment the lineups are announced, even before the first whistle blows.
If a team attempts to take the pitch with a deformed squad that is diametrically opposed to its stability curve in the recent past and damages competitive fairness, the system will automatically generate an early warning and alarm for the club while they are still in the locker room. When this mechanism is incorporated into sports regulations as an official Sporting Fair Play regulation, it will act as a deterrent shield that ends unethical operations before they begin by creating a direct threat of punitive sanctions over the clubs.
Conclusion: Live Audit and Handover to Statistical Science
This intensive analytical effort resulted in a stable auditing structure at international standards, functioning like a Live Audit Dashboard through vertical, horizontal, and curve analysis methods.
By flawlessly completing the data science and structural modeling task with this model I established, I prepared the mechanism that generates 9 stable numbers every week for every team. From this point on, the task falls to statisticians and forensic data analysts who will take this rich 9-dimensional data set I produced, examine the internal variances of the teams, calculate standard deviations, and determine scientific anomaly thresholds that will constitute evidence before the law.
I have unshakeably built the fundamental theoretical framework; now this strong mathematical armor is fully ready to be tested through the concrete pitch practices and simulations of the teams that were the parties to yesterday’s crisis.
Reference
Tiryaki, Aydın. (May 18, 2026). Squad Stability and Competition Audit Theoretical Model in Football, https://aydintiryaki.org/2026/05/18/squad-stability-and-competition-audit-theoretical-model-in-football/
| aydintiryaki.org | YouTube | Aydın Tiryaki’nin Yazıları ve Videoları │Articles and Videos by Aydın Tiryaki | Bilgi Merkezi│Knowledge Hub | ░ Virgülüne Dokunmadan │ Verbatim ░ |░ Süper Lig’deki Etik Krizden Matematiksel Rekabet Modeline Uzanan Yolculuk │The Journey from the Ethical Crisis in the Türkiye Super League to a Mathematical Competition Model ░ 18.05.2026
A Note on Methods and Tools: All observations, ideas, and solution proposals in this study are the author’s own. AI was utilized as an information source for researching and compiling relevant topics strictly based on the author’s inquiries, requests, and directions; additionally, it provided writing assistance during the drafting process. (The research-based compilation and English writing process of this text were supported by AI as a specialized assistant.)
Aydın Tiryaki 