Traumatic brain injury (TBI) encompasses neurological damage caused by external mechanical force to the brain and cranium, resulting in temporary or permanent functional disability. Predictors such as age, Glasgow Coma Scale (GCS) score, pupillary reactivity, time to neurosurgical intervention, combined injuries, hypoxia, hypertension, and CT findings are commonly used. This study aimed to analyze TBI and design an early outcome prediction scale, focusing on factors upon admission (GCS, neurological status, radiological findings). It included 568 TBI patients treated at the Clinical Centre of Vojvodina in Novi Sad from June1, 2018, to May 31, 2019, with a sample comprising 34.3% females and 65.7% males aged 18-96 years (M=56.56; SD=20.17). All patients underwent CT diagnostics, general and neurological examinations, and history-taking upon admission. Physical examination encompassed vital signs, injuries to other organs, and head and neck trauma assessment. GCS scale and CT scans were used for neurological examination, assessing intracranial lesions and skull fractures. Results underscored the importance of observing multiple admission factors, where CT scans, despite individual predictive power, were not significant in a multivariable model. Patients treated later had better outcomes, possibly due to mild TBI symptoms delaying arrival. The Rotterdam scale demonstrated good discriminative power. Strong predictors included CT findings like absence of cisterns, subarachnoid hemorrhage, midline shift over 5mm, small subdural hematoma, large contusion, and antiaggregational therapy, with a 96% predictive power based on the primary model. This study’s insights can aid in understanding TBI, refining diagnostic protocols, and improving outcome assessment, crucial for timely treatment algorithm design and patient follow-up.