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#1 | ||||
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When searching for a trend, does it make sense to include in your sample your entire database of games (>10 seasons), or do you throw everything away but the last 3 seasons or so?
To clarify, I'm talking about common trends, not team specific trends. |
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#2 | ||||
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I usually go no more than 2 years due to the constant changes made within every team.
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#3 | ||||
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2-3 years at most.
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2009 MLB Picks as of 7.6.09: 138-112 Record [55%] (+35.44 Units) 2008-09 FINAL NBA Record: 161-145 Record [53%] (+47.09 Units) 2008 FINAL NFL Record: 96-81 Record [54%] (+54.89 Units) |
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#4 | ||||
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Why dont you give an example of the type of "trend" for which you're searching?
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#5 | |||||
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Since you are talking about league-wide trends, the larger the sample the better, as long as it is a logical trend and not someting like "teams that win on Tuesdays on articficail turf when the manager wears pink underwear". If you are researching something like how NBA teams do the next game after covering the spread by 10 points or more last game, then that is relavent froim year-to-year and I see nothing wrong with going back as far as possible.
As for team trends, probably two years maximum.
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It is time to turn MLB 2009 around to keep my streak of consecutive winning seasons in ALL Sports alive. Quote:
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#6 | ||||
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Team trends tend to be fake, but if you are looking anyway it tends to be about 2 years but vary it team-to-team depending on their history and what has or hasn't changed. In terms of universal stuff, you should go back until the last major rules change that invalidates the data, so you have about two decades in the NFL and two years in the NHL, etc, but make sure to preserve some of your data out of sample.
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#8 | |||||||
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Quote:
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I don't even keep this data to start with. I don't really care if it was Tuesday or Sunday, or what color someone's underwear is.Quote:
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#9 | |||||
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Quote:
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#10 | ||||
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In college football, due to graduation and coaching turnover I go back no more than 3 years.
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