Analysts Using Statistics to Build a Team | Time Sevenhuysen Mag1c

Tim Sevenhuysen “Mag1c” of ElixersOracle.com talks with Mark Register about using statistics to build a team and the importance of Analyists

Mark Register – How do you measure relations between players and coaches and use that information to configure a successful team?

Tim Sevenhuysen – I haven’t really been on the inside of a team deep enough to really have a lot of insight into that.

I have ideas of how I might do it if I was in that situation, I’ve been on the periphery of setting up a team and I’ve had people approach me to help them with that but it’s not really a place I want to be in, working with a team right now.

Sometimes there’s less of a magic bullet to the numbers and the statistics for a pro team than some people perceive there to be.

There’s definitely value in the pro scene in taking new numbers and using them to figure out things that you might not have thought of before.

The more games you play within a season the more valuable the numbers become so actually going into the summer split of LCS when they switched from the best of one set up to best of three in North America and best of two in Europe.

Now we’re going to have a lot more games which means a much larger sample size, the numbers become more important.

But even so, numbers will never be a replacement for watching the games and taking away findings from them from your observations.

The numbers should support or in some cases contradict what you’re seeing with your eyes or they might tell you I see this number so I have to go back and watch the games to actually understand where this number comes from.

I think this number means this but let’s go and confirm.

I would never try to sell League of Legends statistics  as a replacement for any kind of analysis even though at times it feels like people want it to be that, they want it to be this, we’re going to set up these numbers in a certain way and it’s going to tell us which players are the best and which players work best together, we’ll build a team and off we go.

It’s never going to be a replacement for that, you always have to kind of have the old fashion approach to scouting.

But I think it does allow you to be a little more robust in your approach and to have different data sources that work together and kind of dove tail together to produce a more rounded perspective.

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