"Small sample" is a dirty phrase when you're talking about stats in sports. Small samples are high-variance, lacking in context, and can easily lead you down a path toward despair. In general, it's good to avoid them.
This should push us to make each sample as large as we can, and with Week 10 now on the horizon, we've got some solid data on each team in action. That should be a good thing!
The problem is that all that data is tainted, and our precious large samples also suck.
Think of a player -- any player -- whom you are considering for this week.