Let's consider this 3x3 game:
\begin{matrix} &A&B&C \\ A&1,1 & 10,0 & -10,1 \\ B&0,10 & 1,1 & 10,1 \\ C&1,-10 & 1,10 & 1,1 \end{matrix}
Player 1 is the row player, player 2 is the column player.
From my understanding (based on this Math SE answer), there is a pure strategy that is a Nash Equilibrium (which is (A,A)). Indeed, when player 1 plays A, player 2 would gain 1 if playing A, 0 if playing B, 1 if playing C and therefore would have no incentive to deviate from (A,A). Similarly, when player 2 plays A, player 1 has no incentive to deviate from (A,A).
There are also mixed Nash Equilibria. To solve them, we can do: Consider player 2. They play column A with probability $p$, B with probability $q$, and C with probability $1−p−q$. We need to find $p$,$q$ such that player 1 is indifferent between his pure strategies A,B,C. Similarly for player 1 we could solve the same thing.
If now, I'm player 1, or player 2 and I try to maximise my gain. If I go for a mixed strategy, no MATTER WHAT my opponent will play, they cannot "blunder" / "make a bad decision". However, if I go for the strategy related to the pure Nash Equilibrium, my opponent CAN "blunder" / "make a bad decision". E.g., if I'm player 2 and I play A (following the pure Nash Equilibrium (A,A)), my opponent can play B and 'blunder', leading me to gain 10.
I do understand that searching for a Nash Equilibrium "just" means searching for both players' strategies such that 'no player's expected outcome can be improved by changing one's own strategy' (ref) but in a "Game Theory" setting, does that mean that one should always go for "pure Nash Equilibria" (if there are some) to maximise their gain considering opponent might blunder? Since going for a "mixed Nash Equilibrium" means no matter what the opponent does, the payoff will be the same?
Would the answer to my question change if this was a zero-sum game?