Objective Score for Good Move Algorithm

I wanted to get an idea of what a relatively strong Tic-tac-toe player would score with the objective measure. So instead of using an evolved player, I measured the Good Move algorithm. As mentioned before it looks for 2 pieces in a row with an empty square at either end and then plays there or blocks accordingly. 

Here are the scores from ten tests and the average score computed:

967, 975, 844, 968, 1021, 917, 992, 1059, 1051, 986 => 978.0

Now, this algorithm doesn't look ahead more than one move so it will not play perfectly, but it will be relatively strong. If I can somehow evolve something as strong as that, using co-evolution, it would certainly be a worthy opponent.