GM Override: Real Trade.
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Red Sox
| Name | Age | Level | P1 | P2 | Availability | Years | AFV | Salary | Surplus | Low | Median | High |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Curtis Mead | 25 | Majors | 1B | 2B | 3.4 | 33.1 | 21.7 | 11.4 | 9.1 | 11.4 | 13.7 |
Total Value:
11.4
Nationals
| Name | Age | Level | P1 | P2 | Availability | Years | AFV | Salary | Surplus | Low | Median | High |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Connelly Early | 24 | Majors | SP | 5.4 | 58.8 | 28.1 | 30.7 | 24.6 | 30.7 | 36.9 |
Total Value:
30.7

Mead is out of options, and has been traded a couple times already, by three different teams -- the last time being for Boston Smith (!). Yes, he's having a breakout season, but it's a small sample size relative to his career numbers and profile. Early still has strong prospect pedigree.
What do y’all do when real trades are rejected by your model?
We re-examine them and see if there's anything we missed. It's also important to remember that there are always outliers -- that's totally normal. But for the most part, an outlier doesn't change the approach. We have enough of a track record that one data point isn't going to move the needle overall.
Appreciate the explanation
I agree, I believe that they do a good job in some aspects but I wrote a comment about how Sonny gray has just about the same kind of contract as Eduardo Rodrgiuez. Erod, is having a better season yet his value is -11 points and was -20 not to long ago yet Gray was around 0 to plus 5. Someone said some random metric was the reason. The analytics kill baseball. Emotion and player chemistry are value as well. Is that factored into the numbers in player value?