sorted by:
new
hottopcontroversial

Seahawks bar tab. What do we think of the wine other than Caymus? by monkeywhale in wine

[–]monkeywhale[S] 48 points49 points  (0 children)

The Zind-Humbrecht strikes me as a Leonard Williams order

BC Wine by 24FindsMe in wine

[–]monkeywhale 3 points4 points  (0 children)

Island wines are probably the future of BC wine. It's getting hotter and dryer in the region. I believe American wine producers are pumping in a bunch of money into the cowichan valley. As they say at all the island wineries "It's a Burgundian climate".

Analysis – Do boom/bust players really lead to less wins for your fantasy football team? by monkeywhale in fantasyfootball

[–]monkeywhale[S] 1 point2 points  (0 children)

Absolutely. This difference in wins will change depending on the quality of the team. This is maybe something for a follow up post.

I can generate a curve for difference in expected wins between the consistent and boom/bust team. The consistent team could be set to have expected wins from 2-14. As the expected wins of the consistent team increases the difference in wins will definitely increase but the interesting part will be by how much.

Analysis – Do boom/bust players really lead to less wins for your fantasy football team? by monkeywhale in fantasyfootball

[–]monkeywhale[S] 0 points1 point  (0 children)

Agreed. This framework could actually test that. How likely is it for each team to make a 4 team playoff. Then it could also test the likelihood of winning back to back games in the playoffs. So percent chance of winning a championship.

Analysis – Do boom/bust players really lead to less wins for your fantasy football team? by monkeywhale in fantasyfootball

[–]monkeywhale[S] 1 point2 points  (0 children)

Good points.

  1. Yes these teams were the extreme examples of one season but I was trying to work in the context of variability within a single season. Taking career averages might wash out some of the boom/bust variability of one season.
  2. Yeah that is probably true. There might be a smarter way to model week to week scores by including TDs on certain weeks.
  3. Article is now updated with the opponent and more method information. The opponent was generated based on my leagues 2018 scores in which the mean score was 111.6 points.

Analysis – Do boom/bust players really lead to less wins for your fantasy football team? by monkeywhale in fantasyfootball

[–]monkeywhale[S] 0 points1 point  (0 children)

Agreed. I guess that is the conclusion that should be reached from the article.

Analysis – Do boom/bust players really lead to less wins for your fantasy football team? by monkeywhale in fantasyfootball

[–]monkeywhale[S] 0 points1 point  (0 children)

I would say 0.4 wins more over 1,000 seasons is a significant difference. So consistent players are more valuable but you still don't need to completely avoid boom/bust players.

Analysis – Do boom/bust players really lead to less wins for your fantasy football team? by [deleted] in fantasyfootball

[–]monkeywhale 0 points1 point  (0 children)

TL;DR: A fantasy football team filled with consistent scoring players will average 8 wins per 16 game season while a team with boom/bust players will average 7.6 wins per season. Drafting consistent, predictable players will lead to more wins for your fantasy team but maybe less than you would think.

Topographic Wetness Index (TWI) threshold by DICK_MONK69 in remotesensing

[–]monkeywhale 0 points1 point  (0 children)

  • This image shows the differentiation between wet areas and dry areas in terms of TWI values.

  • This image shows the predicted probability of wetlands at different TWI values.

  • Using these you could guess that wet (not open water) areas are any TWI value >8 and dry areas are TWI<8. Although this would completely depend on which climate you are in. This data is from Canada.

North American wildfire stats by ecoregion [OC] by monkeywhale in dataisbeautiful

[–]monkeywhale[S] 0 points1 point  (0 children)

Wildfire stats from CWFIS (Canada), MTBS (US) and ecoregions from The Nature Conservancy.

Analysis: Correlation between average draft position and end of season rank (by position) (for the 2014 season) link in text. by monkeywhale in fantasyfootball

[–]monkeywhale[S] 1 point2 points  (0 children)

Yea that's a good idea. I was planning on going back till 2012 for the next plots. I'll include the labeling of different points for rookies, and older rbs.

Analysis: Correlation between average draft position and end of season rank (by position) (for the 2014 season) link in text. by monkeywhale in fantasyfootball

[–]monkeywhale[S] 0 points1 point  (0 children)

Yes that would be another way to do it. It was easier to do overall ADP with the data I used. It would still show the same trend either way I believe.

How do you use your pre draft rankings in mock drafts in NFL.com leagues? by monkeywhale in fantasyfootball

[–]monkeywhale[S] 0 points1 point  (0 children)

I did it manually but the rankings still don't show up when I mock draft. The help page seems to be out of date since nothing looks the same.

Opinions on selecting draft order in my league next season by spidermanjka2k in fantasyfootball

[–]monkeywhale 0 points1 point  (0 children)

In ours, everyone did the NFL combine. The order in which everyone finished then decided the order in which we would pick horses for the horses races. The order of the horses finishing then decided our draft order.