That said, I've been watching elections and presidential politics in the US very closely since Watergate. Trump is very likely to win this election. There are many factors in play that the pundit and pollster class don't understand, and don't seem to care to understand. In this scenario, both the large crowds (polls) and the moderate crowds (expert panels) are likely to miss the mark by wide margins.
This is not because the experts lack expertise, but rather because this election has some unusual features that have not been seen for a couple of generations at least, and their models (mental and statistical) don't seem to be taking account of that. Humans have a nasty habit of switching motives without notice.
If the markets predicted 75% A vs 25% B and A always turned up, that would make them a poor prediction. Predicting 25% B may mean they're not making much of a prediction (since they're not so far off from 50/50), but it doesn't mean that B being the outcome is indicative of a the prediction being deeply wrong.
The way to measure that is to look at 100 cases where prediction markets predict 75% odds. If approximately 75 of them result in a winner, prediction markets are accurate.
Looking at a single data point and declaring a probabilistic predictor to be inaccurate is not even wrong.
(I wont say its 100% today because I've heard of at least 3 scenarios so far in which Brexit may not truly happen.)