1. The problem asks about predicting goals and which teams will score in a match. 2. This is not a straightforward math problem but involves probability and statistics, often modeled using Poisson distributions for goals scored in sports. 3. The Poisson distribution formula is $$P(k; \lambda) = \frac{\lambda^k e^{-\lambda}}{k!}$$ where $k$ is the number of goals and $\lambda$ is the average goals expected. 4. To predict which teams will score, we need historical data on each team's average goals scored and conceded. 5. Using these averages, we calculate the probability of each team scoring $k$ goals. 6. The team with the higher expected goals $\lambda$ is more likely to score more goals. 7. Without specific data, we cannot compute exact probabilities or outcomes. 8. In summary, predicting goals and scoring teams requires statistical modeling and data, not a simple algebraic formula.