I would love to have access to draft guide articles that provides real-world examples of winning teams in 10, 12, 14, 30 team leagues; 8 and 9 cat; head to head and roto.
What I find lacking is information on real-world teams that won their leagues. In DFS, we know ownership percentages, we have access to the winners and can see how they built their teams. But in regular fantasy, that information is impossible to come by.
Given that it's unlikely Yahoo will provide this type of information, it would be amazing to have access to numerous examples of winning teams from the hoop-ball team. There would be value in an information dump style article with a list of 100 winning teams and very basic information (i.e. 12 team head to head 9 cat) and list of drafted players, but also articles that dive deeper to explain why a team was so successful, and insight (from the team owner) into what else they did with the team to ensure success.
Food for thought!
Hi! That’s an interesting idea however it will not provide you with accurate information or the information you want or actually need to win.
I can, for example, show you my winning roster from last season in my 16-tm H2H league. Unfortunately, all that will provide you is the look of my roster at the finals. It will not show you the look of the team in every step (week) to get to the finals. Teams are fluid. They change. I won a league in 2016-17 which had only two players remaining from my original draft.
On the other hand, if you play in leagues with no moves and no trades then the information you’re asking for would be useful. But there are only few leagues that run those settings.
One thing you can do during the season in Yahoo is hover over "Research" tab and scroll down to MVP. This is a list of the most common players found on Yahoo's public leaderboard. You'll tend to see two types of players- the ones vastly outperforming their ADPs (like Oladipo or Jrue) or the one that were mostly undrafted an excelled (like Donovan or John Collins).
Other than that, to piggyback of Erik, not only is it extremely difficult due to teams being in flux- particularly for H2H playoffs- but you don't see who the competitor has.
For example, this was one of my teams that won 1st last year in 9cat H2H- A.Davis, Gobert, M. Gasol, Horford, Covington, James Johnson, D. Mitchell, Jeff Teague, Jarrett Allen, Larry Nance, Quinn Cook, Kevon Looney & Ellington. From a glace, it's easy to see that I won rebs, fg%, steals, blocks and turnover. What you don't see is that Allen, Nance, Cook, Looney and Ellington were added right before/during the playoffs, not to mention Covington, who was a mid-season trade.
But if I give you another of my first place teams: Boogie (INJ), Curry (INJ), M. Gasol, Dipo, Middleton, Mitchell, Olynyk, Austin Rivers, Cam Payne, Cristiano Felicio, James Johnson, Wilson Chandler, Mills, Ellington and Skal Labisierre. With this team it's hard to see how I won considering Curry missed all but 1 of my playoff games, and outside of 3s, assists and steals, it's hard to determine how this team won anything at all. The reason was that I got a bye in round one, got 1.5 Steph games in round 2, and my opponent's team had even more injuries than me in the Championship round. He panicked and made some bad additions while I loaded the schedule with as many games as possible. I got lucky, and got the win.
From the second team, you don't know which cats I won, which players I added late (over half) which is why just listing players without additional context is not very informative or instructive.
Philipe,
Another option would be the Hoopball Roto-Balance app provides both a progressive update on your team strengths/weaknesses as you build, but also an indication of the stats required to win a category (Roto format) based on historic league win totals. It's discussed half way down the draft guide page.
https://sportsethos.com/product/2018-19-hoop-ball-fantasy-draft-guide/?r=89304
In Roto, if you can draft a team which is above the average league win levels across the board you should have a shot of winning an average league. The interesting thing here is that the better the league gets the closer to that average the teams should be because the competition is better. In a hacks league you might find less consistency across the teams, and one team might exceed the averages significantly.
Post draft it's about assessing your opponents strengths and weaknesses and working out how you can walk the tightrope of maximising value (points earned) across the board in Roto or ensuring you can tweak your team to have the best chance of winning 5/9 stats against all (or most) of your opponents in head to head.
Hoop-Ball: They wont guarantee you win, but they sure as S*$t help!
Good feedback!
The Hoop-Ball app is only available on Android, and last year it didn't show you any underlying data or settings (what the threshholds are to determine success levels), so you have no idea what it's basing it's output on. I know the B150 is part of it, but that's not very transparent.
I understand that teams change during the season. Regardless, the draft is the first and most important step to building your team. Managing that team well (by choosing what players to use, making trades, dropping/adding players) is important and will allow your team to reach its full potential.
I posit that drafting well and building a good team during the draft increases your chance of winning significantly. I want to see what winning teams looked like at the draft. I want to see a lot of them. I think we'll see patterns that will be useful and help us understand how to draft better.
If we can see the final team and get a break down of important changes throughout the season as part of the analysis (or a different type of article), that's even better... but just seeing what a whole bunch of winning teams looked like at draft and knowing what the league settings are (and draft position, which I forgot) will provide a lot of insight into what a good draft looks like (given that the samples would be from the hoop-ball team), and what competent managers can overcome (like the Boogie+Currie example).
In an ideal world, we could do custom searches on Yahoo (or ESPN) and just pull the data we want. League win percentage by draft position, what percentage of teams that drafted Anthony Davis won, etc. So reverse engineering that through real-world data seems like the second best approach. 😉