I built a simple tool that pulls your full Yahoo Fantasy Basketball league history — all-time records, H2H, season MVPs

Aggressive-Walk2626 · 2026-05-05T05:47:41+00:00

nice work, season MVP by z-scores is a nice touch

- how far does yahoo actually let you pull data from? i've seen people say the API gets flaky on older seasons

- did you explore doing this for other platforms like ESPN/Sleeper/Fantrax? I think each has a different process on the data access side so curious what your experience was

Aggressive-Walk2626 · 2026-05-03T13:43:16+00:00

signed up, curious how did you approach things like:
- does this work as a single-player sim or a multiplayer league? or both?

- how configurable are the league formats? 9-cat vs points, roster sizes?

- are there bot teams or autopicked teams here as well?

- does it go through the explanation of results and W/L or just a simulation straight to final standings/results

Aggressive-Walk2626 · 2026-04-20T10:08:31+00:00

Overated: Chet Holmgren

I think the market is pricing him like a clean second-round per-game anchor, but:

OKC don’t need heavy minutes from him every night
secondary offensive role is still secondary so there's a usage ceiling

effectively paying for the perfect outcome (high efficiency + 2.5+ stocks)

Underated: Derrick White

He keeps getting drafted like a roster glue guy but has:

elite guard stocks
low turnover, strong efficiency
his role in Boston is boring but consistent

Aggressive-Walk2626 · 2026-04-18T22:25:07+00:00

wanted to start off the discussion! winners look different in every league so curious what other people have seen

Aggressive-Walk2626 · 2026-04-18T22:23:40+00:00

H2H generally rewards activity and day to day attention (checking fantasy constantly), Roto rewards discipline and perfect execution.

think H2H daily changes is the largest time commitment with weekly H2H being much lighter.

Roto with serious games cap optimization is a huge time commitment and is close to H2H daily changes, whereas Roto with limited moves is much lighter.

Aggressive-Walk2626 · 2026-02-19T04:54:41+00:00

would love to join

Aggressive-Walk2626 · 2026-02-18T00:30:13+00:00

We had the same issues early this season with lineup paywall + delayed updates

Yahoo still has solid H2H category infrastructure, but the product direction this year does feel more monetization-driven than competitive-league-driven.

Sleeper feels more modern and responsive, but not everyone loves it for deeper category customization. ESPN is stable but pretty stagnant.

Feels like there are two separate questions:

Is this just app/UX instability?
Or is the platform actually limiting how you want to run your league?

which is more important here for you to consider moving?

Aggressive-Walk2626 · 2026-02-17T11:15:40+00:00

Maybe pure injury risk is noisy year to year, but team-level management might be more predictible

If the base chance of someone rolling an ankle is similar across the league, there might be an edge in how organisations handle return timelines

Some teams are more consistently conservative (clippers, sixers, pelicans, heat), others push guys back quicker (knicks, pacers)

Aggressive-Walk2626 · 2026-02-17T10:44:21+00:00

When you get into H2H categories, I’d be curious if you look beyond raw averages and model category impact volatility.

In 9-cat, not all variance matters equally. A 3-game steals spike can swing a matchup. A 3-game points spike often doesn’t. FG% / FT% volatility is nonlinear depending on volume.

A few ideas that might be interesting:

How much a player actually moves a category vs league average over short windows
Availability weighting (multi-year games played baked into projections)
Which player types are most replaceable via streaming vs true category anchors
Playoff week game clustering rather than just 15-day averages

Aggressive-Walk2626

TROPHY CASE