You just did, what you said I did. But really, you took my Pinto line out of context. Leave it in context with the line that Salty will get better. Is there any reason to think Salty would get better was the line. I understand sarcasm and context take some discernment to pick up - so I won't fault you there. Do you have some examples of some 'fact based models'...? Perhaps you have a working definition that should be shared. It's fine to point out someone is wrong, but if you don't teach or show, then what value have you really offered? Going back to the Pinto comment. In context, I didn't see any evidence, Sabermetrics or whatever, that would suggest Salty would get better than he was in 2013. So I said, "Why not Pinto?" He's a rookie. IF we must play the linear game, play it for both players. Again, context. Can you provide some sort of statistical analysis to aid his case? How about a simple linear regression model based models and optimization based on similar catchers. Or going the way of Baseball Prospectus, any idea what the PETOCA might be for Salty for 2014? I generally find those a bit low...but I guess I'm at a loss. It seems you can just say "Fangraphs" or "Statistic" and that counts as statistics based? See one problem with most of the statistics cited for Salty is that year-to-year there's very little correlation of consistency. BABIP, OPS+, SLG, etc show very little consistency year to year. Do you know how lucky Salty was this year? His BABIP was .372. So when he actually got the ball in play (roughly 70% of the time, 30 K%) he did pretty well. But do you know how likely he is to put that up? I mean, without even using Bayes Theorem or some other likelihood of events reoccurring formula. In 2012, his BABIP was .265. In 2011 it was .304. For 2009 it was .320. But, remember, he doesn't put that ball in play that much. 30% K rate... Here's a link on K rates , HR rates, and batting average. http://www.fangraphs.com/blogs/why-strikeouts-stink/ The problem here is, Salty isn't an OBP guy OR a power hitter. The most consistent statistic YoY? Contact % at 90%. Following by SwStr%, Swing %, K%, and so forth. Here's a link for those consistency statistics: http://www.beyondtheboxscore.com/2011/9/1/2393318/what-hitting-metrics-are-consistent-year-to-year So Salty swings and misses. A lot. But, he also only plays 120g a year, well only twice (sorry, not a fact based model, just a fact). And by definition, he hasn't had a full season in 7 seasons based on plate appearances (501 needed). I struggle with the idea that someone could give a guy 12.5%+ of your payroll (for an $80M payroll, e.g. Twins) for the next 3 seasons with that kind of production or cost. If he cost 5% of your payroll ($150M total, e.g. Red Sox), sure, it makes more sense in terms of payback ROI. I do stats for a living. I've taught AP Calculus for years before switching into industry to do analytics. Instead of saying something arbitrary that has no real data points or relevance. Please show me your statistics points versus your opinions and projections on me. This isn't SABR where everything has to be a statistic either. I'm a member, so if you are too, maybe we should take our SQL, Excel, R, and head over there instead? And then, just acknowledge what did happen. Salty did sit for 4 of the 6 World Series games. I don't know how that's not an important stat. As Herm Edwards said, "You play to win the game!"