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Reddit Adjusted Fantasy Football Trade Values Week 9: Time to Push
Who are you targeting in the final push?
I will be talking with the guys from Front Yard Fantasy again this week on their stream today at 3 pm EST about the trade charts, my trades, and trade questions. It should be a good time!
Front Yard Fantasy Stream, 3 PM EST 11/4
- YouTube: https://youtu.be/mLPHqtRbHxg
- Twitch: https://twitch.tv/FrontYardFantasy
- Periscope: https://pscp.tv/FrontYardFYF/follow
To generate trade values, I combine Harris football rankings with Fantasypro rankings and apply an algorithm I wrote based on historical values and trends. Next, I average these values with CBS and 4for4 values (if applicable) to normalize across the industry. Lastly, I apply a PPR correction factor and create the 0.5 PPR values as well. I generated my functions by using historical data, Reddit Trade threads, and the Yahoo trade market. My goal was to look for crossover points in 1 for 1 player positional trades to generate tiers and normalize across positions. My goal is to incorporate as many sources and experts as possible to eliminate or minimize bias. I have recently incorporated R scripts that use “fuzzy” matches to try and combine the player names. Each site uses slightly different variants and it causes issues. I am still working on it.
As I discussed previously, I believe the experts have a lot of bias towards the top, bottom, and between the positions. I check the comments on the expert's articles every week and see the disapproval and outright anger at some of the rankings. My goal was to try and adjust the values using crowd-sourced data (Reddit+Yahoo) to create better trade values.
12 team: 1 QB, 2 RB, 2 WR, 1 TE, 1 TE/WRB.
“Where are the standard or PPR values? “
Answer: Change the tab or the spreadsheet, or scroll down on the image.
“What is the QB value in 2-QB leagues? “
Answer: Double the QB values and it will be close. I know it doesn’t capture the lower QB values, it is hard to find 2-QB data. So share sources if you find any!
“What does 10-team league do to values?”
Answer: Smaller league means higher-tiered players are worth more. Tiers 1-3 go up and tiers 6-7 have very little value.
“What about 3 WR leagues?”
Answer: WRs value increases due to a slight increase in scarcity
“Where are the defenses?
Answer: Defenses don’t matter to the experts. Hard to quantify
“Why is X player so low?”
Answer: Because you own them and god hates you
“How do I use this chart?”
Answer: Add player values on each side of the trade and compare for fairness. That simple.
"Did you mean to spell X wrong?"
Answer: No, spelling is hard. I do science and stuff
“What about Dynasty, bro?
Answer: I have some preliminary Dynasty Ranks with the aid of Pollsports.com. I will work more on it this year and in the offseason.
“What about keeper and draft picks?”
Answer: Great Question. I do not know. Keepers change the trade game. I do not factor them in. Draft picks are tough to quantify as well. I think you can estimate a pick value by averaging the values of the 12 players on the chart corresponding to the round. (Example average players 1-12 to get a first-round pick). Then, you would need to weight the value to include rest-of-season usage and uncertainty in the draft pick next year. So many 50% of the average is what I am guessing. All this is theory.
u/TheRealMonty used these values to build a website to help with trades. He is doing a lot to improve and expand the website. Check it out!
u/intersecting_lines is the user that made a chrome and firefox extension using these values. They are super helpful!
u/J_smooth is running his great site at Pollsports.com that has been super useful for my dynasty ranks! You can also ping me to vote on your specific polls.
u/sqaudfam is also using these values on his website, yufafootball.com, to create a power rankings tool
If you are interested in extra ranks and/or updated/continuous ranks, including injury update; support me on Patreon (patreon.com/Peakedinhighskool). Proceeds go to crippling student loan debt
Have another great week of football,
[How the Hell] could 11 twelve year olds, each controlling one player on the pitch in a "FIFA 16" game, beat their real world counterparts?
Round 1: The footballers find themselves teleported into a game of FIFA. The rules are set at default settings, and the footballers have the same physical attributes as their in game counterparts. Refs and fans are computerized.
Round 2: Clones of the players are sent onto a real world stadium, and are controllable by video game controllers. They must play a team of the actual footballers. Ref is Michael Oliver.
Bonus: How many games could a team of the best FIFA players in the world win in the same scenario as round 2?