Flip a coin 100 times
Except the coin has been flipped 1300 times here.
Now do it again, and then again. Now multiply that a thousand times. The more samples the more it can deviate.
I have nothing to say to this except that you need to take some basic statistics courses. These concepts are literally things you learn in the first weeks. In a random sample, deviation from the average tends to decrease the more samples you take.
Put simply, more often than not you'll be closer to 50/50 than you are further away from it. Some groups of 100 flips will be 49/51. As you do more groups of 100 flips, it's true you're more likely to get a 55/45 or more. It's also true that you're more likely to happen upon a perfect 50/50 result. Average the squared differences and you'll find that the more "groups" of 100 flips you take, the closer the average deviation is to 0.
Where samples taken again of the exact same teams in a second match immediately after where the colors where flipped? No, then your samples are biased, and your results are worthless.
Wow, the first valid point you've made in this entire argument. Yep, I can agree here, the bias introduced from this does invalidate the results. But this was never part of your initial argument, which was about 50/50 probabilities. I can agree that the results are invalid, but so was your initial argument.