The approach followed here is the same as followed here. We will expand the recurrence, which I assume is what you mean by pattern recognition, and then generalise. The first iteration of the expansion is:
$$T \left( n \right) = 2 T \left( \frac{n}{3} \right) + 3n^2$$
The next one is:
$$T \left( n \right) = 3n^2 + 2 \cdot 3 \left( \frac{n}{3} \right)^2 + 2^2 T \left( \frac{n}{3^2} \right)$$
And after one more we get:
$$T \left( n \right) = 3n^2 + 2 \cdot 3 \left( \frac{n}{3} \right)^2 + 2^2 \cdot 3 \left( \frac{n}{3^2} \right) + 2^3 T \left( \frac{n}{3^3} \right)$$
And now we generalise to:
$$ T \left( n \right) = 2^{\log_3 n} + \sum_{i = 0}^{-1 + \log_3 n} 3 \cdot 2^i \left( \frac{n}{3^i} \right)^2$$
$$ T \left( n \right) = 2^{\log_3 n} + 3n^2 \sum_{i = 0}^{-1 + \log_3 n} \left( \frac{2}{9} \right)^i$$
Computing the geometric series we get:
$$T\left( n \right) = \frac{27}{7} n^2 - \frac{20}{7} 2^{\log_3 n} $$
We can verify the result using the substitution method. We substitute above into the recurrence:
$$T \left( n \right) = 3n^2 + 2 T \left( \frac{n}{3} \right)$$
$$T \left( n \right) = 3n^2 + 2 \left( \frac{27}{7} \left( \frac{n}{3} \right)^2 - \frac{20}{7} 2^{\log_3 \frac{n}{3}} \right)$$
$$T \left( n \right) = 3n^2 + \frac{6}{7} n^2 - \frac{40}{7 \cdot 2} 2^{\log_3 n}$$
$$T \left( n \right) = \frac{27}{7} n^2 - \frac{20}{7} 2^{\log_3 n}$$
And so we conclude the result is valid.