by alexpotato
Last Updated June 25, 2018 12:19 PM

So here is the backstory:

- This is a game with two teams
- The outcome of the game is that one of the teams wins and the other loses
- There is no offense and defense
- We can use tug of war as an analogy (the game is actually paintball)

My question: I’m trying to identify the relative contributions of each player. Adjusted Plus Minus (APM) seems to be the best way to do this.

However, players can switch between teams so I’m curious how to track individual players since a win for one team is a loss for the other.

I’ve found examples like this: http://www.sloansportsconference.com/wp-content/uploads/2011/08/An-Improved-Adjusted-Plus-Minus-Statistic-for-NHL-Players.pdf

In the above, players are put on “offense” or “defense” but that doesn’t apply here.

For example, do I need to create dummy variables for when a player is on the winning or losing team?

Or should I run a separate regression for each player? Eg for each player, run a regression where the dependent variable is the outcome of whatever team that player was on.

Happy to add more detail if it helps.

Thanks, Alex

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