This is Killersports repository of Trend Builder examples for NCAAFB queries. At Killersports, we want to educate users both on the methods of writing SDQL queries as well as the though processes involved in identifying meaningful trends. Below are example queries that are devloped an evaluated by one of our experts.
We recommend trying to test your abilities before hand by attempting to complete these queries in the trend builder and using the videos to review our recommended solutions.
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How do teams do when they're coming off an upset win as a dog of greater than 10 points? If
they were this large of a dog and pulled off that big of an upset one might think they are due for
a let down in their next game (bet against).
How do teams do in week #2 when they were upset as a favorite of 6 points or more in week
What is the Over/Under record for Division games later in the season (week 11 and beyond) for
games with an above average total (greater than 45)? Teams are more familiar with each other
and the games are more important to playoff seeding.
How do teams do who are underdogs after losing badly to the spread in the last game (26 points
or more)? This might be a bounce back situation (bet on).
How do road favorites do when they are coming off a bye week (more than 12 days rest)? Does
rest and extra time to game plan help teams?
How do teams on a 9+ game win streak do? This might be a let down spot.
How do underdogs do in Week 1, who had less than 7 wins the previous season? These ugly
dogs might be undervalued.
In week 1, how do teams who missed the playoffs last season do against teams who made the
playoffs last season? These teams might be undervalued.
How do excellent teams (Win % > 80) do at home on Monday Night Football when they are
playing a decent team (at least 0.500)? Might these elite teams be undervalued?
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