The SEP talks about the notion of a degree of belief, or credence in a proposition.
One common way of formalizing this idea is by means of a scale from 0 to 1, where 0 indicates absolute certainty in the falsity of a proposition, 1 indicates absolute certainty in its truth, and .5 indicates that the subject regards the proposition just as likely to be true as false. This number then indicates one’s credence or degree of belief. Standard approaches equate degree of belief with the maximum amount the subject would, or alternatively should, be willing to wager on a bet that pays nothing if the proposition is false and 1 unit if the proposition is true. So, for example, if the subject thinks that the proposition “the restaurant is open” is three times more likely to be true than false, they should be willing to pay no more than $0.75 for a wager that pays nothing if the restaurant is closed and $1 if it is open. Consequently, the subject’s degree of belief is .75, or 75%. Such a formalized approach to degree of belief has proven useful in decision theory, game theory, and economics. Standard philosophical treatments of this topic include Jeffrey (1983) and Skyrms (2000).
So there seems to be two possible ways we assess degree of belief: with the mathematics that lies behind odds, and with actual actions taken in the form of bets. So, in any given situation the odds are merely considered a hypothetical since unless a bet actually is made, we don't know what we believe if haven't decided to bet, right? If we don’t bet, do we know what our actual degree of belief in a proposition is in the first place?