knuckleball

So the knuckleball is unpredictable, just not in the way that it appears to be.

This is the same principle that makes a knuckleball drop unpredictably and very, very difficult to control.

He makes no attempt to compare specific knuckleball pitches with apparent wild behavior to the captured data.

The benefit a knuckleball gets from its lack of spin is unpredictability in its movement and not movement itself.

The way up it would probably travel like a knuckleball, but on the way down it might start to stabilize.

If you just drop it, it's a knuckleball, and it's going to float every which way.

If it continues in knuckleball descent, I should think heat buildup would be evenly dispersed.

He just pulls data from four games of two knuckleball pitchers.

When I was a kid, I remember a conversation about Charlie Hough (knuckleball pitcher).

The crux was that hitters would never get practice against a good knuckleball, since once you found a pitcher who could throw a good knuckleball, you'd sign them to a contract and save their arm for real games.

The dry spitball (knuckleball) and the spitball work on the same concept (i.e., the lack of spin will cause the ball to react differently than pitches with spin).

For anyone interested: The famous Knuckleball pitcher Tim Wakefield of the Sox recently passed from cancer last year, his wife Stacy also passed from cancer only 5 months after.

The error bars on that raw data must be significant, especially when a "knuckleball wobble amplitude" of just a few inches would already be very effective.

Knuckleball is a server that I started to develop a few weeks ago for learning and academic purposes, not to compete against Redis.