EdgeRanked View Plans

NFL

Jordan Watkins NFL Projections

Jordan Watkins is a wide receiver for the San Francisco 49ers, projected for their Week 10 matchup against Dallas Cowboys. EdgeRanked tracks the receiving and fantasy outlook for this matchup using its NFL simulation model.

Week 10· Latest simulation ·13 upcoming · 0 live · 1 final
WR · San Francisco 49ers

SF @ DAL · Sun, Nov 15 · 4:25 PM EST

This player’s numbers are part of the subscriber board. The free view features a rotating selection of players — see the WR examples below.

Matchup

Full matchup →

SF @ DAL

Updated pregame projection

San Francisco 49ers at Dallas Cowboys ·

SF26.9
DAL28.7
TOTAL55.6
Highest projected total

Simulated

Featured WR projections

  • WR
    Tee HigginsCIN vs PIT · Sun, Nov 15 · 8:20 PM EST
    15.8FPTS
    YDS71.9TD0.56TGT8.4REC5.3

Unlock Jordan Watkins and the full board

Subscribers see this projection and every other WR on the slate.

  • The full ranked board: 334 players across QB, RB, WR, TE and D/ST
  • Sort by 10 stats; filter by position and team
  • Simulation floor and ceiling for every player, 80% ranges for every game
  • Projected margin for every matchup
  • Receiving-yard threshold chances for WR and TE
View Access Options

3-day free trial available on Monthly for eligible new customers. $19.99/month after your 3-day trial. Cancel anytime.

Jordan Watkins in context

How to read these NFL projections

EdgeRanked’s pregame model simulates each game and its players using the personnel and matchup information available when the simulation ran. Every game shows the time of its own simulation. A projection is an estimate made before kickoff; it is never a result, and a completed game keeps the pregame projection it had.

Projections are refreshed about 90 minutes before each kickoff, when official inactive lists are posted, and every matchup shows the time its projection was made. Quarterback, running back, receiving and defense outputs carry a limited-confidence label this early in the season; the label describes how settled a number is, not how accurate it will prove.