I looked at 4 different collections of players following a similar technique as shown in class - sorting and filtering to find similar players and used them to predict future year’s outcomes. The 4 main focuses were: general (focused more on WAR and wRC+), HR (which focused more on underlying stats more likely to produce HRs - HardHit%, FB%, Pull%, etc.), OPS focused (more on Barrel%, BB%, etc.), and SB focused (Sprint Speed). I also looked at Fangraphs as a guide after I combined all these into a single sheet to see how close it might be for the next 3 years, but I never used it as my final prediction. I also asked AI to forecast it based on modern analytic and projection systems to take the collection of data I gathered to see what it might come up with. It claims it used a “hybrid of recency-weighted regression + per-PA rate normalization + HR mean regression + MLB age curves.”

After that, I reviewed all 6 season’s predictions and picked which outcome I thought was most likely based on his first year stats. All predictions except for the one focused on SB had him stealing significantly more SB than I thought would be the case. But it doesn’t mean those views weren’t valuable. So, the above is my combined prediction through the following 5 views (General, HR, OPS, SB, AI). 

Based on Caminero’s age, I don’t suspect him to decline significantly in any major statistic. In fact, I could see even more growth from him in future years as he should be hitting his peak years at the end of this 6-year cycle. If anything, you could see a massive improvement toward the end of 2030 and beyond since he’ll only be 26+.