Fantasy Football
Outsiders

See the game.Before it happens.

Rankings, projections, matchup models, and league-aware tools turn football data into clear decisions for your roster.

Blocky claymation-style 3D receiver securing a contested end-zone catch
Projected points
287.0
Jaxon Smith-Njigba · PPR
Model confidence
high
Range modeled
Players modeled
915
Current artifact
League context
Roster fit
Scoring · needs · market
Current model buildModel build Aug 19, 2026View data notes
Blocky claymation-style receiver celebrating on a midfield star as a defender approaches
Players
915
Governed inputs
12
Model jobs
10

The FFO platform

Your league.
Every decision path.

Import a league snapshot to move beyond generic lists. FFO reads your scoring, rosters, lineup needs, market, and opponents before it recommends a move.

  • Analyze the leagueRoster strengths, market gaps, and manager tendencies.
  • Optimize your teamLineup, waiver, and roster-fit recommendations.
  • Build better tradesFairness, team impact, and realistic counterparties.
  • Find proprietary edgesExplainable signals combined for your exact context.

Built from evidence.
Honest about uncertainty.

These numbers are generated from the repository's current model manifest—not hand-written marketing copy. The same build step updates them whenever the data pipeline runs.

Inspect the methodology
Players modeled
915

Current projection artifact

Model modules
10

Distinct jobs, not one opaque score

Approved datasets
12

Recorded in the data manifest

MAE vs. baseline
7.1% lower

371 rows · 2025 holdout

The projection board

2026 PPR median projections with model-estimated low and high bands.

View all rankings
RankPlayerProjectionRangeConfidence
01Jaxon Smith-NjigbaWR · SEA287.0 pts
148425
high
02Trevor LawrenceQB · JAX285.7 pts
166404
high
03Josh AllenQB · BUF281.3 pts
168377
high
04Justin HerbertQB · LAC274.0 pts
140378
high
05Patrick MahomesQB · KC273.7 pts
155390
high
06Drake MayeQB · NE266.4 pts
139375
high

Projection bands are model estimates, not guaranteed outcomes. Model build Aug 19, 2026; current model build.

One player.
Six distinct signals.

A single composite rank can hide the evidence. FFO keeps each signal visible so you can see whether a player is talented, well-positioned, fairly priced, or simply a better fit for your roster.

Read the model guide
  1. 01Football

    What the player can do

  2. 02Opportunity

    What the role allows

  3. 03Projection

    What the range predicts

  4. 04Market

    What leagues are pricing

  5. 05Matchup

    What this week changes

  6. 06Roster fit

    What your team needs

Move from reading
to deciding.

Use public data first. Import a league snapshot when the decision needs your scoring, roster, and opponents.

Rank the whole player pool

Search the complete current projection artifact and filter by position or confidence.

Explore rankings
Blocky claymation-style runner driving forward with a classic stiff arm
Player pool
915
Refresh
Current model build
Blocky claymation-style receiver making an acrobatic one-handed catch
Jaxon Smith-Njigba forecast
P10 148P50 287P90 425

See the range, not just the rank

Compare median forecasts with downside and upside bands.

Open projections

How our projections work

A plain-language guide to inputs, holdout testing, uncertainty bands, known limitations, and exactly what changes when the model refreshes.

Read the guide

Understanding opportunity

Why targets, snaps, and expected role stay separate from talent.

When the data is stale

How freshness changes what the interface is allowed to claim.

Reading confidence bands

Why a useful forecast shows its uncertainty instead of hiding it.

Start with the data.
Then make it yours.

Explore the public board, or import a league snapshot for roster-aware recommendations.