Much has transpired in the world of soccer statistics over the past four years since I first published: Possession with Purpose – An Introduction and some Explanations.
- Three years ago I published my Possession with Purpose – Revised Introduction.
- In 2014 the concept was presented at the World Conference on Science and Soccer 2014.
- Last year the concept was published in Europe and just this year another part of Possession with Purpose was presented at the World Conference on Science and Soccer 2017 (Predictability).
- Now it’s time for a new update that hopefully brings more clarity and simplicity?
Here’s my NEW simplified update of Possession with Purpose the Total Soccer Index
- The .pdf version should make it easier to print and use as reference material.
Within you’ll find:
- Definition of TSI
- Purpose of TSI
- Premise of TSI
- Parts of TSI
- Leagues / competitions analyzed
- Application of TSI and its parts
- The data for leagues / competitions analyzed
- Observations & conclusions by league / competition as well as reviewing TSI across leagues / competitions
My thanks to all for your support and kind words throughout the years.
For those who want to know:
The most comprehensive victory in the last four years of MLS has been Seattle Sounders beating FC Dallas last year 5 – nil. Here’s some statistics from that game for your consideration:
Possession 62% 38%
Accuracy 87% 80%
Penetration 17% 13%
Creation 13% 7%
Precision 67% 0%
Finishing 63% 0%
- The sum of the parts has greater correlation to points earned than the parts independent of each other.
- Confirming for me that team performance, not individual performance measurements, more accurately translate why a team gets a positive result.
- Team A within one league operates (and sees greater or less correlation to points earned) differently than Team B, C, D, etc…
- Confirming for me that individual statistics, used to create those team statistics (as part of TSI) do not have the same weight / value for all teams.
- Meaning clearances or crosses (used as a measurement in fantasy soccer) for one player, on one team, DO NOT have the same weight/value of clearances or crosses for a different player on a different team.
- Same can be said for passes or shots taken.
- As such, what I’m submitting is that a calculations like Expected Goals and Expected Passes are inherently flawed (to some level) because they assumes the weight / value of all shots or passes from one location to another location are equal.
- With the exception of the Women’s World Cup fewer shots taken, per penetration, sees teams earn more points.
- Less means more…
- Teams with more possession and greater passing accuracy are beginning to earn more points in MLS 2017 than in previous years.
- More means more…
- This trend seems to indicate technical skill levels of players in MLS are improving.
- The lower the overall correlation of the Total Soccer Index to points earned the greater the parity within the league or competition; this also intuits those are less predictable.