Background: Surgical Site Infections (SSIs) are a significant cause of morbidity in emergency general surgery. Identifying predictors of SSIs can guide interventions to reduce their occurrence and improve patient outcomes. Methods: This observational study included 100 emergency general surgery cases. Patient demographics, comorbidities, surgical details, and outcomes were recorded. The incidence and predictors of SSIs were analyzed using univariate and multivariate logistic regression. Statistical significance was set at p < 0.05. Results: The mean age of the patients was 45.3 ± 12.8 years, with 60% males and 40% females. The overall SSI incidence was 25%, including superficial SSIs (60%), deep SSIs (32%), and organ/space SSIs (8%). Diabetes (45%, p = 0.02), obesity (35%, p = 0.04), contaminated wounds (50%, p < 0.001), open surgery (35%, p = 0.01), and prolonged surgeries (>3 hours, 40%, p = 0.005) were significant predictors of SSIs. Multivariate analysis identified diabetes (OR = 2.5, p = 0.01), open surgery (OR = 3.0, p = 0.004), contaminated wounds (OR = 4.2, p < 0.001), and prolonged surgery (OR = 2.8, p = 0.008) as independent predictors. Patients with SSIs had a significantly longer mean hospital stay (14 ± 4.5 days vs. 8 ± 3.2 days, p < 0.001) and higher mortality (12% vs. 3%, p = 0.03). Conclusions: Diabetes, open surgery, contaminated wounds, and prolonged surgery were identified as significant predictors of SSIs in emergency general surgery. Targeted strategies addressing these factors may reduce the SSI burden and improve outcomes.