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It's nothing particularly Earth shattering.
My thought was that many of you have commented after a team has a particularly good game that the next week's line sometimes has an "overreaction" (that is, gives that team a more favorable line than they otherwise should deserve). The same could be said, I suppose, about a team that has a particularly bad game the week before. So, my thought was that if a team that covered the week before is playing a team that didn't cover the week before, that then might be a good time to play the team that didn't cover. Obviously, tons of other factors come into play, but, over the long run, if this could be statistically shown to be a true hypothesis, it might prove a useful data point as supporting evidence if you wanted to pick for or against a particular team. I actually have a bit of a statistical background and own a decent statistics program...so I figured I might be able to put that to good use. I've been toying with the idea for next year to test prospectively some of the things that we often tell ourselves (e.g. betting against a team that is in a classic "let down" situation, watching for "suspicious" line movement, etc.) to separate the truisms from the falsehoods. If I ended up doing it, I'd have to set up the objective criteria a priori for each of the things I would want to test and maybe I could get the board's help with that. I imagine perhaps many of these things have already been looked at objectively, so maybe I shouldn't waste my time...but I figured it might be fun and useful if not. |
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Map, in all seiousness, Ithink along the same lines as you. You keep track of that from the beginning, and fade it when you see a pattern going the other way. I've been doing it for years and still can't win. But remember, don't keep playing the same trend to the end.
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If you live in Fla and don't have a boat and fishin' poles, it ain't paradise, it's jus hot as hell |
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I concur Yalbert,
When the past, shows uneven results, many interpret this as a trend, but in reality, there is always a 50/50 chance at the outcome, therefore, statistically, the advantage favors the opposite of previous uneven results. ![]() |
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