Using data to help imagine LeBron James as a baseball player.
When the wind blows in Atlanta, what will it do the baseballs in the new stadium?
Can minor league defensive performance identify future major league outliers?
Can small sample sizes actually tell us something significant about players’ performance?
An encouraging step toward designing a reliable fielding metric for minor leaguers.
If a hitter can hit for power in the minors, what does that say about his potential major league success?
Finding the answer is as evasive as ever.
Having more and better data will increase the skills of our seers.
The schedule may give the AL Central teams a break this year.
The NL Central was a very rare breed last season. Will it be again this season as well?
Even if we completely trust projections, some win totals will miss by a fairly large margin.
Can various stats be combined to give a clearer look at pitcher values?
Trying to predict what any prospect will do is a fools errand, but it’s still worth a try.
Projectionists should embrace the mystical side of the craft to find something new in this beautifully massive set of data.
A look at which projection systems did the best in 2014.
We have some fun new toys for you just in time for the weekend.
An advance look on what the BBWAA will do.
Picking the postseason and award winners is not easy
Looking at how the stats leaders help predict the voting leaders
How did the THT staff do predicting the 2013 standings?