MLB picks using Monte Carlo simulation
These are tomorrows plays
These are tomorrows plays
Curous to know how you model makes assumptions on what matchups it should consider - specifically what RP's would be the most likely to come in late in the game. Do you base it on probabilistics (of appearing in the next game) due to previous IP's? If a team is heavy on Lefty hitting, do the Lefty RP's get more weight?
Also - how much weight do you put on historical data? I have always found that to be pretty unreliable once you normalize it over a large population.
Best of luck to you. Would be cool if this bears out profitable over a couple of seasons.
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Curous to know how you model makes assumptions on what matchups it should consider - specifically what RP's would be the most likely to come in late in the game. Do you base it on probabilistics (of appearing in the next game) due to previous IP's? If a team is heavy on Lefty hitting, do the Lefty RP's get more weight?
Also - how much weight do you put on historical data? I have always found that to be pretty unreliable once you normalize it over a large population.
Best of luck to you. Would be cool if this bears out profitable over a couple of seasons.
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Mets 171 (1x)
Mets 171 (1x)
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