@Tiger In The Gong said:
I have added rounds 18 and 19 to the original data.
Our attack is now averaging 17.42 points a game - **The worst ever by a Wests Tigers team**.
Our defense is now averaging 24.36 points a game - **Only the 10th best for a Wests Tigers team**
\
\
So lets get this clear and cut all the spin -
***16th out of 16 in attack\
\
*10th out of 16 in defense.**
Is it any wonder we are coming dead last.
No this is incorrect. Everything I have posted in this thread is all results up to and including Round 19 vs Broncos.
We didn't even play Round 18, it was a bye.
Attack in 2015 is 14/16 of all seasons as measured by "Points For per game", defence is 6/16 for Points Against.
We are coming last 2015 for several reasons, and it is not just about points scored or conceded. Firstly, our losing margins are quite small, but they are consistent. I.e. we lose often but not by much = we are unable to convert close games into wins. That is the primary issue with our 2015 season: we either win big, or we lose.
We also happen to be caught in an unfortunately better performing bottom ladder.
For the past 5 seasons 2010-2014, the bottom placed side has totalled 5 or 6 wins (for 2010 Melbourne were moved to last due to salary cap, but 2nd last Cowboys only had 5 wins). We are obviously already on 5 wins with 7 games in hand.
Furthermore, the win % for bottom teams in 2015 is higher than any of the previous 5 seasons:
- bottom 4 teams win % 2010-2014 = 30.63%; in 2015 = 33.82%
- bottom 3 teams win % 2010-2014 = 28.33%; in 2015 = 33.33%
- bottom 2 teams win % 2010-2014 = 26.25%; in 2015 = 32.35%
In other words, the bottom 4 are doing better this year than any of the previous 5 years. Even further to this, the average difference between 8th and last for the previous 5 years was 0.55 table points per game. It is currently 0.47 table points per game, so we are closer to the Top 8 than last usually is.
So it's not just about Tigers doing badly in 2015, it is also that bottom-performing sides this year are doing better than they usually do.
It amuses me that you say "lets get clear and cut out the spin" and then proceed to spin/interpret the data the way you see fit.
Data is data, it is facts. Interpretation of data is always prone to bias; as others have said you may be able to support opposed arguments by selective interpretation of the same data.
But don't make the mistake of calling one argument "spin" and another "clear". All arguments about human behaviour are spin of one kind of another.