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NFL Receiving Yards Picks: Week 2 2026

|HeatCheck HQ|4 min read
Last updated September 23, 2026 • 30-day refresh cadence

Today's best NFL receiving yards picks for Wednesday, September 23, 2026 are Dalton Schultz (Score: 88, 88 receiving yards a game, at Colts (1st vs the position)), Dalton Kincaid (Score: 113, 113 receiving yards a game, vs Chargers (7th vs the position)), Christian Watson (Score: 94, 94 receiving yards a game, vs Falcons (8th vs the position)). Rankings are generated by HeatCheck HQ's volume, recent form, and matchup scoring model, updated daily.

NFL Receiving Yards Picks: Week 2

Every pass catcher is ranked on three things that carry week to week: how many receiving yards they produce a game, the volume behind it, and the defense they draw. We surface the high-usage players landing in the softest matchups. No odds, just the profile and the spot. Here are the Week 2 plays.

Receiving Yards Dashboard: the full board with your own line, updated as lineups confirm.

Dalton Schultz, Texans TE (@ IND)

88 receiving yds/G · L5 88 · opp 1st vs TE

Dalton Schultz averages 88 receiving yards a game for the Texans. The volume backs it up at 25% target share. This week he visits the Colts, who rank 1st against the position, a genuine soft spot.

Dalton Kincaid, Bills TE (vs LAC)

113 receiving yds/G · L5 113 · opp 7th vs TE

Dalton Kincaid averages 113 receiving yards a game for the Bills. The volume backs it up at 25% target share. This week he hosts the Chargers, who rank 7th against the position, a genuine soft spot.

Want the full board? Every pass catcher ranked on the Receiving Yards Dashboard, or see cross-sport plays on Top Plays.

Christian Watson, Packers WR (vs ATL)

94 receiving yds/G · L5 94 · opp 8th vs WR

Christian Watson averages 94 receiving yards a game for the Packers. The volume backs it up at 29% target share. This week he hosts the Falcons, who rank 8th against the position, a genuine soft spot.

Matthew Golden, Packers WR (vs ATL)

77 receiving yds/G · L5 77 · opp 8th vs WR

Matthew Golden averages 77 receiving yards a game for the Packers. The volume backs it up at 25% target share. This week he hosts the Falcons, who rank 8th against the position, a genuine soft spot.

DeVonta Smith, Eagles WR (@ CHI)

85 receiving yds/G · L5 85 · opp 9th vs WR

DeVonta Smith averages 85 receiving yards a game for the Eagles. The volume backs it up at 33% target share. This week he visits the Bears, who rank 9th against the position, a genuine soft spot.

Dontayvion Wicks, Eagles WR (@ CHI)

74 receiving yds/G · L5 74 · opp 9th vs WR

Dontayvion Wicks averages 74 receiving yards a game for the Eagles. The volume backs it up at 18% target share. This week he visits the Bears, who rank 9th against the position, a genuine soft spot.

Week 2 Receiving Yards Board

#PlayerTeamMatchup (opp rank vs pos)Receiving Yards/GL5
1Jaxon Smith-NjigbaSEA@ WSH (13th)139139
2Chris OlaveNOvs LV (22nd)134134
3Dalton KincaidBUFvs LAC (7th)113113
4Davante AdamsLAR@ DEN (25th)111111
5Amon-Ra St. BrownDETvs NYJ (31st)105105
6Jalen CokerCAR@ CLE (19th)102102
7CeeDee LambDALvs BAL (20th)9999
8Christian WatsonGBvs ATL (8th)9494
9Parker WashingtonJAXvs NE (24th)9191
10Tetairoa McMillanCAR@ CLE (19th)8888
11Dalton SchultzHOU@ IND (1st)8888
12Travis KelceKC@ MIA (15th)8686

Matchup rank is the opponent's defense-vs-position rank, where a lower number means a softer spot. L5 is the player's average over his last five games.

Related NFL research

Before You Lock

These are the highest-usage receiving producers in the friendliest spots, but a prop is only as good as the line you get. Confirm the player is active and the game script fits: a team playing from ahead runs more and throws less, and the opposite when trailing. Weather matters for the passing game. Use the board to build a shortlist, then check this week's news and your own number before you bet.

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HeatCheck HQ

Editorial & Modeling Team

HeatCheck HQ combines betting market context with sport-specific model outputs across MLB, NBA, and NFL prop markets. Daily picks posts are auto-generated from our scoring models and reviewed by the team for editorial quality.

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