But managing day to day isn't that simplistic and binary. Ballplayers aren't robots. Actuarial tables (which is all metrics are essentially) may provide insight, but they are still simply predictive models and little else. There is heart and soul, flesh and blood, emotions, passions, pride, revenge motivations that fuel a player. That must be accounted for and simply cannot be by just punching numbers into formulas, spitting it out in a spreadsheet.
Maybe instead Murphy comes to Vaughn and says... "all the metrics and its devotees say you're a bum against RHP. I want to know what YOU say to that? You want to prove them wrong? Want to tell them to jam it where the sun don't shine???... Yes? ... Then go do it, give me a reason not to PH you in these situations."
Managers need to challenge their players. Metrics lets them off the hook. It also lets players off the hook from pushing themselves more often than not. I loved it when Mis defied Murphy on the mound last week and made it known for all to see that he was "good, don't take me out, I GOT THIS, #*@&-it!" That was a giant middle finger to this data as god mentality.
I'll admit - there is a usefulness in data analysis, be it real stats or speculative metrics. Batting orders, lineups have always been constructed based off that type of information obviously. But managers need to know the psyche, the mental makeup of their players and base decisions at least partially off that as well. Too much of today's game is paint by numbers. We're a predictions market, gambling mindset culture. Just play the numbers, cut out the human element. Like I alluded to earlier, why not just have AI run the management of a game day roster? It will analyze the numbers, assess the best metrics driven move for each at bat, each scenario and situation far better than any human manager can do.
Is that what we want? That's where its headed. Count me out if it comes to that. That isn't baseball anymore.