Optimizing Groups for Small Sided Games (SSGs)

In the following video I will show you how to:

  • Calculate normal scores for any test/statistic (percentiles & z-scores) and the difference between them
  • Calculate composite scores using weighting factors and normal scores
  • Use one great Excel tool – SOLVER to provide optimized solution for groups

The rationale behind this approach is that we want groups of players that are balanced in some way (we decide based on what parameters). In the video below I have used skill rating and MAS score, but you can easily expand that to include daily wellness or some fatigue score, or anything else you want.

The idea is that having balanced groups might produce a higher level of competition and on the same quality level. This might be an interesting research project to see if balanced vs. unbalanced groups show different performance readings (GPS, iTRIMP, etc) and what option might be better for certain goals.

optimizing-groups-for-small-sided-games-video

Related Articles

Fat Tails and Inequality

The following R workbook is meant to show different effects (or should I call them inequalities or differences) between groups when different thresholds for selection are applied. Hopefully, this will be a good example on how it is important to be statistically educated when comparing groups and discussing inequality.

Responses

Your email address will not be published. Required fields are marked *

Cancel Membership

Please note that your subscription and membership will be canceled within 24h once we receive your request.