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Ranking fantasy teams from different seasons (1 Viewer)

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Footballguy
I have started to wonder if it's possible to compare FF teams from different years so that a league can determine which teams are truly the best and most dominant. I figured by looking at points scored, point differential, wins, breakdown wins (overall), and some other stats that it can be done. Perhaps a formula to incorporate it all???

Has anyone ever looked into something like this? Do any of the commissioners out there do this? Am I off my rocker?

 
I kind of did this for a 12 man league. This is what I did:

1. ranked each team 1 through 12 according to total points scored over the history of the league (assign 12 pts for #1 rank, 11 for #2 rank...)

2. ranked each team according to their average season points rank. ie, if Team A finished 3rd, 6th and 12th in total points over a 3 year span, his average points rank would be (3+6+12)/3 = 7 ; assign 12 pts to highest avg rank, 11 pts to second highest and so on

3. combined the above two points assigned to create an overall ranking

The reason #2 is important is so that numbers don't get scewed if one guys does amazing in 1 season and blows everyone away and then does poor other years. This year would be a good example. Anyone who drafted Brady and say Moss might easily outscore everyone by 100-300 points+ depending on your scoring system. Add that to 2 bad season for points and he will still likely be the top ranked fantasy player if you only use #1 above. This happened in my league - the guy who was #1 in total points scored finished #1, 8 and 10 in points during the 3 years being used. There is no way he is the top fantasy performer and that is why I added in #2

Other things you could use:

- season finish (ie, planing for playoffs and success in playoffs is important). I didn't take this into account because of lack of info and laziness)

- season record - I like points scored as a much better indicator though to take out the luck, bad luck in match-ups factor

- total money won - might be good for leagues with weekly payouts etc as with money leagues, the true measure of success is money won... right?

 
Okay here's my attempt to do this, not sure if other's will find it worthwhile, but the results in my league were interesting.

1) I ranked all the teams by winning percentage using their "all-play" records

2) I ranked all the teams by average point differential (ie I calculated the avg pf and avg pa and took the difference)

3) I gave each team a point based on their season's finish (1 pt - 1st place, 2 pts - 2nd place, etc)

I then created a weighted formula based on these assumptions:

Assumptions

1) Points scored is a true measure of good (dominant team)

2) All-play record is a good balancing statistic that minimizes the luck of a schedule

3) Winning $$ is another important measurement and those teams that finish higher get more prize money.

"Domination" Factor Formula

(All Play Rank + (Average Pt Diff *2) + Season finish Rank) / 4

For example:

My championship team from 2001 finished with a regular season record of 9-4. My team scored 804 (53.6 per game) and "allowed" 729 (48.6 per game). My all play record that year was 85-47-1 for a winning percentage of .643.

My rankings:

All Play - 5th out of 75 teams

Point Differential - 23rd out of 75 teams

Finish - 1

Formula: (5+(23*2)+1) / 4 = 52/4 = 13.0

Once this formula is applied to all 75 teams, it turns out that my 2001 championship team is ranked 15th overall with a domination factor of 13.0

Thoughts?

 
I think I misinterpreted your post. I now see what you mean. You are trying to compare specific teams from year to year, not an owner's performance over many years.

For #2, I would use an average points against figure for the league, not for individual teams as points against has nothing to do with team strength. I guess one could argue having least points against makes a team more dominant as they would've won their games by a wider margin...

 
If you used MFL, you could go by the Power Rank numbers.

If not, I think the best way to do it would be to use an "All-Played" record.

Then you would see how each team, in each year, dominated that year.

For instance:

C-2005 had an All-Play record of 129-47

S-2004 had an All-Play record of 122-54

K-2006 had an All-Play record of 122-54

and so-on.

See what I mean?

 
2) I ranked all the teams by average point differential (ie I calculated the avg pf and avg pa and took the difference)Thoughts?
I'm confused on why you included this. To me it would seem this would overrate a team that got lucky and caught people on their down games or played a soft schedule. To me, PF would be a better measure since your team can't do anything about points against. If my PF for the year is 900 and PA is 850 does that mean a team that is PF750/PA600 clearly better than me? A point diff from the league average might make sense though. That way all teams are compared evenly.If someone took my teams and compared PF vs possible PF I don't think I'd fair too well. :lmao: My coach stinks.
 
MOAT said:
2) I ranked all the teams by average point differential (ie I calculated the avg pf and avg pa and took the difference)Thoughts?
I'm confused on why you included this. To me it would seem this would overrate a team that got lucky and caught people on their down games or played a soft schedule. To me, PF would be a better measure since your team can't do anything about points against. If my PF for the year is 900 and PA is 850 does that mean a team that is PF750/PA600 clearly better than me? A point diff from the league average might make sense though. That way all teams are compared evenly.If someone took my teams and compared PF vs possible PF I don't think I'd fair too well. :shrug: My coach stinks.
The main reason I used the differential is because our league has gone through many scoring system changes throughout the years. I thought that this would represent the dominating teams by showing how they beat their opponents. I do like the idea of the point differential against the leagues PA, that may be a better way to quantify this.Thanks for poking some holes in it, I do appreciate the "other side thinking".
 

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