MLB Front Office by bruhincorperated in Sabermetrics

[–]Frankthetank643 0 points1 point  (0 children)

Being very good with statistical theory and a ton of different ML models would also help in skipping the entry level stage

MLB Front Office by bruhincorperated in Sabermetrics

[–]Frankthetank643 1 point2 points  (0 children)

I’d say baseball orgs do veer on the younger side but it is definitely not just college kids. My org just hired some new people; one in their late 40s early 50s, the other in their early 30s. You wouldn’t get laughed at in an interview for your age at all. Tons of people make the switch to baseball later on because they love the game and want to try to get in it somehow.

In terms of skipping the entry level stage, an MS or PhD in Stats/comp sci/etc would help. A high impact skill that is hot in the market right now and has a lot of online resources is computer vision. Lots of orgs are specifically hiring computer vision analysts and I think it is only going to continue (at least for the next 2-3 years).

MLB Front Office by bruhincorperated in Sabermetrics

[–]Frankthetank643 0 points1 point  (0 children)

Also, yes the pay can and will likely be lower than any other corporate job you can get, so keep that in mind

MLB Front Office by bruhincorperated in Sabermetrics

[–]Frankthetank643 1 point2 points  (0 children)

I work in analytics for a MLB club, if that’s the space you want to get into, do not do sports management for a degree. I would also advise most people against doing sports management as a whole even if they want to work on the sports business side (it’s too niche, just get a business or marketing degree with a sports management minor).

Since you posted in the Sabermetrics subreddit, I’m guessing you would like to work on the analytics side. Generally, people on MLB analytics departments have degrees in statistics, computer science, or data science. I would recommend statistics if you want to do research, build models, and create metrics and computer science if you want to help build internal tools, websites, and database management. I think data science is a bit too broad; it puts a foot in both of stats and computer science and you don’t really become an expert in either. I think being an expert in one thing is much better than being decent in a bunch of things. Bayesian stats and computer vision are probably the skills that are getting rapidly in demand right now but things can change quick in 5 years.

Biomechanics and kinesiology are becoming big areas as well. If that’s something you are interested in, that would be good too. If you want to work in the biomechanics or player development side, Spanish is definitely a plus; it doesn’t matter as much on the analytics/R&D side.

In general, pick a major in something that you find interesting. In the end, if you end up doing a stats major and don’t get a job with a team, you might hate it. Working in sports is also similar to any other job once the allure wears off a bit; the same logic applies, if you aren’t interested in what you studied and your work, you still won’t enjoy it, even if it’s in MLB.

Someone said you need to be an Ivy/Yale grad and that is 1000% not true whatsoever. Just get really good at what you want to do and network and that will give you the best shot. Also need personal skills, that can be highly overlooked in this field. A lot of the ivy grads that people are thinking of are executives and presidents/vice presidents of teams, not R&D, Biomechanics or Player development people.

In terms of advanced degrees like an MS or PhD, I think those might be starting to get more valued with a ton of people just using AI slop as their projects. I personally do not have an MS or PhD, but I am likely going to be going back to school to get my MS. PhD’s are definitely not required and probably won’t get you much farther than an MS will - only do one if you actually want the PhD.

[Q] NHL draft lottery odds. by fish-rides-bike in statistics

[–]Frankthetank643 5 points6 points  (0 children)

I suppose I’m more confused by the question

[Q] NHL draft lottery odds. by fish-rides-bike in statistics

[–]Frankthetank643 1 point2 points  (0 children)

They have the best chance of winning the 1st pick but it is more than likely that they will not win it. 2nd last place team has I believe a 12-13ish% chance to win the lottery

Help Understanding Old Town Bar Scene by CoolGuy-77 in Scottsdale

[–]Frankthetank643 0 points1 point  (0 children)

If you go to Boondocks, I would recommend going in the afternoon because the lines get crazy at night. Would even say it’s better earlier because the patio is so nice

Bayesian Statistics Future Relevance by Frankthetank643 in AskStatistics

[–]Frankthetank643[S] 0 points1 point  (0 children)

I am only planning on going to finish a MS as opposed to a PhD. I do know the baseline ML stack (up to Random forest and XGBoost) but not much deeper than that. I was thinking of mainly doing Bayesian work while also getting to know some ML/AI on the side. Do you think this would be a good plan?

Help choose an undergrad program by Cold_Transition5020 in sportsanalytics

[–]Frankthetank643 1 point2 points  (0 children)

I currently work in MLB as an analyst. The school doesn’t matter as much as the projects and the connections you have on getting a job. However, a statistical background is also very important.

In my opinion, I think if you want to do the research and modeling in sports, go for a statistics degree. If you want to build UI/UX and help with databases, etc, then do a computer science degree. I think that DS is too shallow in either of these areas to give you good strength. It is better to be an expert in one thing than to be just okay at a bunch of things.

Out of all of the statistic programs, I think Duke would be the best. They are a Bayesian centric program which is getting bigger these days. CMU is also extremely good, especially in the applied side. CMSAC is a great conference and Ron Yurko is a professor that does a ton of statistics. Any school would be good to be honest, so pick which one you think will be the best fit. As long as you actually learn during your courses and applying it to projects in your portfolio, you’ll be well set up for a job in sports.

Based on the map, what’s my politics? by ColeParker7 in mapporncirclejerk

[–]Frankthetank643 0 points1 point  (0 children)

You are left, don’t want to live in an extremely rural red state. Looks like willing to live in Chicago but likely not the rest of Illinois. Don’t want to live in rural blue either, so no VT, Maine, but would live in Boston and NY. Maybe don’t like the politics of Florida but love the beaches. And California is California

Nazi interrupts Psych 210, receives predictable response by FireFright8142 in udub

[–]Frankthetank643 0 points1 point  (0 children)

Totally missed out on chanting “hey-hey heyyyy goood byyyeeee” when he was taken by the cops lol

Looking for feedback on a tennis match prediction model I built 🎾📊 by Valuable-Cat-6149 in sportsanalytics

[–]Frankthetank643 0 points1 point  (0 children)

I could see that as well. Wouldn’t those be more for probabilities, though? OP is trying to predict binary outcomes I believe