NFL Receiving Yards Props: Live Lines & Best Odds
Every NFL receiving yards prop on this week’s slate, wide receivers, tight ends, and pass-catching backs, in one place, with the best available number on each side across your sportsbooks and a direct link to the market. The line, the top over, the top under, and the matchup context, all in one row per player.
The value isn’t the projection alone; it’s the shop. The same receiving line can be a half-point apart from book to book, and the best over or under is highlighted for you. Those half-points and a few cents of juice don’t feel like much on one bet, but over a season of receiving props, they’re the difference between red and green.
Tap any player to open his receiving profile: target share (the slice of his team’s targets he commands), catch rate, yards per reception, red-zone targets, and a week-by-week log of targets, catches, yards, and touchdowns. Receiving yards live and die on opportunity, and target share is the cleanest read on it — so that drawer is where the real handicapping starts.
| Player & Matchup | Pos | Line | Best Over | Best Under | DFS | ||||||||||||||||||||||||||||||||||||
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| Puka Nacua | WR | 91.5 | — | — | 92.5 PP | ||||||||||||||||||||||||||||||||||||
Targets166 Target share29% Catch %78% Yds / rec13.3 Season: 129 rec · 1715 yds · red-zone targets 17 (16% of team)
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| Jamarr Chase | WR | 89.5 | — | — | 89.5 PP | ||||||||||||||||||||||||||||||||||||
Targets185 Target share31% Catch %68% Yds / rec11.3 Season: 125 rec · 1412 yds · red-zone targets 22 (27% of team)
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| Jaxon Smithnjigba | — | 88.5 | — | — | 87.5 PP | ||||||||||||||||||||||||||||||||||||
No 2025 receiving data for this player yet. | |||||||||||||||||||||||||||||||||||||||||
| Amonra St Brown | WR | 77.5 | — | — | 77.5 PP | ||||||||||||||||||||||||||||||||||||
Targets172 Target share31% Catch %68% Yds / rec12.0 Season: 117 rec · 1401 yds · red-zone targets 35 (39% of team)
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| Justin Jefferson | WR | 76.5 | — | — | 76.5 PP | ||||||||||||||||||||||||||||||||||||
Targets141 Target share31% Catch %60% Yds / rec12.5 Season: 84 rec · 1048 yds · red-zone targets 19 (25% of team)
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| Drake London | WR | 72.5 | — | — | 72.5 PP | ||||||||||||||||||||||||||||||||||||
Targets112 Target share22% Catch %61% Yds / rec13.5 Season: 68 rec · 919 yds · red-zone targets 16 (25% of team)
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| Ceedee Lamb | WR | 72.5 | — | — | 74.5 PP | ||||||||||||||||||||||||||||||||||||
Targets117 Target share19% Catch %64% Yds / rec14.4 Season: 75 rec · 1077 yds · red-zone targets 17 (17% of team)
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| Nico Collins | WR | 70.5 | — | — | 70.5 PP | ||||||||||||||||||||||||||||||||||||
Targets120 Target share22% Catch %59% Yds / rec15.7 Season: 71 rec · 1117 yds · red-zone targets 19 (24% of team)
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| Chris Olave | WR | 69.5 | — | — | 69.5 PP | ||||||||||||||||||||||||||||||||||||
Targets156 Target share33% Catch %64% Yds / rec11.6 Season: 100 rec · 1163 yds · red-zone targets 15 (29% of team)
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| Garrett Wilson | WR | 67.5 | — | — | 67.5 PP67.5 UDOG | ||||||||||||||||||||||||||||||||||||
Targets59 Target share12% Catch %61% Yds / rec11.0 Season: 36 rec · 395 yds · red-zone targets 5 (8% of team)
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| Jameson Williams | WR | 65.5 | — | — | 65.5 PP | ||||||||||||||||||||||||||||||||||||
Targets102 Target share19% Catch %64% Yds / rec17.2 Season: 65 rec · 1117 yds · red-zone targets 9 (10% of team)
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| Zay Flowers | WR | 65.5 | — | — | 65.5 PP | ||||||||||||||||||||||||||||||||||||
Targets118 Target share29% Catch %73% Yds / rec14.1 Season: 86 rec · 1211 yds · red-zone targets 12 (21% of team)
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| Devonta Smith | WR | 65.5 | — | — | 65.5 PP | ||||||||||||||||||||||||||||||||||||
Targets113 Target share25% Catch %68% Yds / rec13.1 Season: 77 rec · 1008 yds · red-zone targets 12 (20% of team)
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| George Pickens | WR | 65.5 | — | — | 67.5 PP | ||||||||||||||||||||||||||||||||||||
Targets137 Target share23% Catch %68% Yds / rec15.4 Season: 93 rec · 1429 yds · red-zone targets 23 (22% of team)
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| Trey Mcbride | TE | 63.5 | — | — | 63.5 PP | ||||||||||||||||||||||||||||||||||||
Targets169 Target share27% Catch %75% Yds / rec9.8 Season: 126 rec · 1239 yds · red-zone targets 34 (32% of team)
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| Brock Bowers | TE | 62.5 | — | — | 62.5 PP62.5 UDOG | ||||||||||||||||||||||||||||||||||||
Targets86 Target share19% Catch %74% Yds / rec10.6 Season: 64 rec · 680 yds · red-zone targets 18 (29% of team)
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| Aj Brown | WR | 60.5 | — | — | 67.5 PP | ||||||||||||||||||||||||||||||||||||
Targets121 Target share26% Catch %65% Yds / rec12.9 Season: 78 rec · 1003 yds · red-zone targets 13 (21% of team)
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| Emeka Egbuka | WR | 59.5 | — | — | 59.5 PP | ||||||||||||||||||||||||||||||||||||
Targets127 Target share24% Catch %50% Yds / rec14.9 Season: 63 rec · 938 yds · red-zone targets 15 (20% of team)
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| Tee Higgins | WR | 59.5 | — | — | 59.5 PP | ||||||||||||||||||||||||||||||||||||
Targets98 Target share16% Catch %60% Yds / rec14.3 Season: 59 rec · 846 yds · red-zone targets 16 (20% of team)
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| Terry Mclaurin | WR | 59.5 | — | — | 59.5 PP | ||||||||||||||||||||||||||||||||||||
Targets60 Target share14% Catch %63% Yds / rec15.3 Season: 38 rec · 582 yds · red-zone targets 8 (16% of team)
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| Tetairoa Mcmillan | WR | 58.5 | — | — | 58.5 PP | ||||||||||||||||||||||||||||||||||||
Targets122 Target share25% Catch %57% Yds / rec14.5 Season: 70 rec · 1014 yds · red-zone targets 15 (21% of team)
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| Ladd Mcconkey | WR | 58.5 | — | — | 58.5 PP | ||||||||||||||||||||||||||||||||||||
Targets106 Target share20% Catch %62% Yds / rec12.0 Season: 66 rec · 789 yds · red-zone targets 15 (19% of team)
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| Alec Pierce | WR | 56.5 | — | — | 56.5 PP | ||||||||||||||||||||||||||||||||||||
Targets84 Target share16% Catch %56% Yds / rec21.3 Season: 47 rec · 1003 yds · red-zone targets 9 (11% of team)
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| Colston Loveland | TE | 56.5 | — | — | 56.5 PP | ||||||||||||||||||||||||||||||||||||
Targets82 Target share15% Catch %71% Yds / rec12.3 Season: 58 rec · 713 yds · red-zone targets 15 (21% of team)
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| Mike Evans | WR | 54.5 | — | — | 58.5 PP | ||||||||||||||||||||||||||||||||||||
Targets62 Target share12% Catch %48% Yds / rec12.3 Season: 30 rec · 368 yds · red-zone targets 9 (12% of team)
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| Luther Burden Iii | WR | 54.5 | — | — | 54.5 PP | ||||||||||||||||||||||||||||||||||||
Targets60 Target share11% Catch %78% Yds / rec13.9 Season: 47 rec · 652 yds · red-zone targets 4 (6% of team)
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| Christian Watson | WR | 53.5 | — | — | 53.5 PP | ||||||||||||||||||||||||||||||||||||
Targets55 Target share12% Catch %64% Yds / rec17.5 Season: 35 rec · 611 yds · red-zone targets 6 (9% of team)
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| Jaylen Waddle | WR | 53.5 | — | — | 53.5 PP | ||||||||||||||||||||||||||||||||||||
Targets100 Target share22% Catch %64% Yds / rec14.2 Season: 64 rec · 910 yds · red-zone targets 11 (16% of team)
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| Dj Moore | WR | 52.5 | — | — | 52.5 PP | ||||||||||||||||||||||||||||||||||||
Targets85 Target share16% Catch %59% Yds / rec13.6 Season: 50 rec · 682 yds · red-zone targets 11 (16% of team)
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| Kyle Pitts | TE | 52.5 | — | — | 52.5 PP | ||||||||||||||||||||||||||||||||||||
Targets118 Target share23% Catch %75% Yds / rec10.5 Season: 88 rec · 928 yds · red-zone targets 13 (20% of team)
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| Tucker Kraft | TE | 52.5 | — | — | 52.5 PP52.5 UDOG | ||||||||||||||||||||||||||||||||||||
Targets44 Target share10% Catch %73% Yds / rec15.3 Season: 32 rec · 489 yds · red-zone targets 12 (17% of team)
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| Mack Wilson | WR | 52.5 | — | — | — | ||||||||||||||||||||||||||||||||||||
Targets126 Target share20% Catch %62% Yds / rec12.9 Season: 78 rec · 1006 yds · red-zone targets 17 (16% of team)
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| Carnell Tate | — | 51.5 | — | — | 51.5 PP | ||||||||||||||||||||||||||||||||||||
No 2025 receiving data for this player yet. | |||||||||||||||||||||||||||||||||||||||||
| Courtland Sutton | WR | 51 | — | — | 51.5 PP | ||||||||||||||||||||||||||||||||||||
Targets124 Target share21% Catch %60% Yds / rec13.7 Season: 74 rec · 1017 yds · red-zone targets 20 (23% of team)
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| Rome Odunze | WR | 50.5 | — | — | 50.5 PP | ||||||||||||||||||||||||||||||||||||
Targets90 Target share17% Catch %49% Yds / rec15.0 Season: 44 rec · 661 yds · red-zone targets 13 (18% of team)
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| Marvin Harrison Jr | WR | 50.5 | — | — | 50.5 PP | ||||||||||||||||||||||||||||||||||||
Targets73 Target share12% Catch %56% Yds / rec14.8 Season: 41 rec · 608 yds · red-zone targets 11 (11% of team)
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| Davante Adams | WR | 49.5 | — | — | 49.5 UDOG | ||||||||||||||||||||||||||||||||||||
Targets114 Target share20% Catch %53% Yds / rec13.2 Season: 60 rec · 789 yds · red-zone targets 32 (29% of team)
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| Dk Metcalf | WR | 49.5 | — | — | 49.5 PP | ||||||||||||||||||||||||||||||||||||
Targets99 Target share18% Catch %60% Yds / rec14.4 Season: 59 rec · 850 yds · red-zone targets 13 (17% of team)
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| Brian Thomas | WR | 48.5 | — | — | 48.5 PP | ||||||||||||||||||||||||||||||||||||
Targets91 Target share15% Catch %53% Yds / rec14.7 Season: 48 rec · 707 yds · red-zone targets 7 (8% of team)
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| Wandale Robinson | WR | 47.5 | — | — | 47.5 PP | ||||||||||||||||||||||||||||||||||||
Targets140 Target share28% Catch %66% Yds / rec11.0 Season: 92 rec · 1014 yds · red-zone targets 14 (21% of team)
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| Sam Laporta | TE | 47.5 | — | — | 47.5 PP47.5 UDOG | ||||||||||||||||||||||||||||||||||||
Targets49 Target share9% Catch %82% Yds / rec12.2 Season: 40 rec · 489 yds · red-zone targets 6 (7% of team)
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| Tyler Warren | TE | 47.5 | — | — | 47.5 PP | ||||||||||||||||||||||||||||||||||||
Targets112 Target share22% Catch %68% Yds / rec10.8 Season: 76 rec · 817 yds · red-zone targets 23 (28% of team)
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| Harold Fannin Jr | TE | 45.5 | — | — | 45.5 PP | ||||||||||||||||||||||||||||||||||||
Targets107 Target share20% Catch %67% Yds / rec10.2 Season: 72 rec · 731 yds · red-zone targets 11 (19% of team)
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| Travis Kelce | TE | 43.5 | — | — | 43.5 PP | ||||||||||||||||||||||||||||||||||||
Targets108 Target share20% Catch %70% Yds / rec11.2 Season: 76 rec · 851 yds · red-zone targets 13 (16% of team)
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| Michael Pittman | WR | 42.5 | — | — | 42.5 PP | ||||||||||||||||||||||||||||||||||||
Targets111 Target share22% Catch %72% Yds / rec9.8 Season: 80 rec · 784 yds · red-zone targets 18 (22% of team)
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| Christian Mccaffrey | RB | 40.5 | — | — | 40.5 PP | ||||||||||||||||||||||||||||||||||||
Targets129 Target share24% Catch %79% Yds / rec9.1 Season: 102 rec · 924 yds · red-zone targets 25 (28% of team)
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| Bijan Robinson | RB | 38.5 | — | — | 38.5 PP | ||||||||||||||||||||||||||||||||||||
Targets103 Target share20% Catch %77% Yds / rec10.4 Season: 79 rec · 820 yds · red-zone targets 13 (20% of team)
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| Makai Lemon | — | 38.5 | — | — | 38.5 PP | ||||||||||||||||||||||||||||||||||||
No 2025 receiving data for this player yet. | |||||||||||||||||||||||||||||||||||||||||
| Romeo Doubs | WR | 36 | — | — | 42.5 PP | ||||||||||||||||||||||||||||||||||||
Targets85 Target share19% Catch %65% Yds / rec13.2 Season: 55 rec · 724 yds · red-zone targets 18 (26% of team)
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| Hunter Henry | TE | 35.5 | — | — | 39.5 PP | ||||||||||||||||||||||||||||||||||||
Targets87 Target share18% Catch %69% Yds / rec12.8 Season: 60 rec · 768 yds · red-zone targets 22 (34% of team)
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| Cooper Kupp | WR | 34.5 | — | — | 34.5 PP34.5 UDOG | ||||||||||||||||||||||||||||||||||||
Targets70 Target share13% Catch %67% Yds / rec12.6 Season: 47 rec · 593 yds · red-zone targets 13 (20% of team)
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| Jahmyr Gibbs | RB | 32.5 | — | — | 32.5 PP | ||||||||||||||||||||||||||||||||||||
Targets94 Target share17% Catch %82% Yds / rec8.0 Season: 77 rec · 616 yds · red-zone targets 15 (17% of team)
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| Jake Ferguson | TE | 31 | — | — | 32.5 PP | ||||||||||||||||||||||||||||||||||||
Targets102 Target share17% Catch %80% Yds / rec7.3 Season: 82 rec · 600 yds · red-zone targets 25 (24% of team)
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| Devon Achane | RB | 29.5 | — | — | 29.5 PP | ||||||||||||||||||||||||||||||||||||
Targets85 Target share18% Catch %79% Yds / rec7.3 Season: 67 rec · 488 yds · red-zone targets 11 (16% of team)
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| Aj Barner | TE | 27.5 | — | — | 27.5 UDOG | ||||||||||||||||||||||||||||||||||||
Targets68 Target share13% Catch %77% Yds / rec10.0 Season: 52 rec · 519 yds · red-zone targets 13 (20% of team)
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| Ashton Jeanty | RB | 19.5 | — | — | 19.5 PP | ||||||||||||||||||||||||||||||||||||
Targets73 Target share16% Catch %75% Yds / rec6.3 Season: 55 rec · 346 yds · red-zone targets 10 (16% of team)
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| Cameron Skattebo | RB | 19.5 | — | — | 19.5 PP19.5 UDOG | ||||||||||||||||||||||||||||||||||||
Targets32 Target share6% Catch %75% Yds / rec8.6 Season: 24 rec · 207 yds · red-zone targets 4 (6% of team)
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| Breece Hall | RB | 17.5 | — | — | 17.5 PP | ||||||||||||||||||||||||||||||||||||
Targets48 Target share10% Catch %75% Yds / rec9.7 Season: 36 rec · 350 yds · red-zone targets 9 (15% of team)
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| James Cook | RB | 15.5 | — | — | 15.5 PP | ||||||||||||||||||||||||||||||||||||
Targets40 Target share8% Catch %83% Yds / rec8.8 Season: 33 rec · 291 yds · red-zone targets 3 (4% of team)
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| Jonathan Taylor | RB | 13.5 | — | — | 13.5 PP | ||||||||||||||||||||||||||||||||||||
Targets55 Target share11% Catch %84% Yds / rec8.2 Season: 46 rec · 378 yds · red-zone targets 5 (6% of team)
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| Saquon Barkley | RB | 12.5 | — | — | 12.5 PP | ||||||||||||||||||||||||||||||||||||
Targets50 Target share11% Catch %74% Yds / rec7.4 Season: 37 rec · 273 yds · red-zone targets 8 (13% of team)
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| Javonte Williams | RB | 10.5 | — | — | 10.5 PP | ||||||||||||||||||||||||||||||||||||
Targets51 Target share8% Catch %69% Yds / rec3.9 Season: 35 rec · 137 yds · red-zone targets 12 (12% of team)
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| Quinshon Judkins | RB | 9.5 | — | — | 9.5 PP9.5 UDOG | ||||||||||||||||||||||||||||||||||||
Targets36 Target share7% Catch %72% Yds / rec6.6 Season: 26 rec · 171 yds · red-zone targets 1 (2% of team)
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| Derrick Henry | RB | 4.5 | — | — | 4.5 PP | ||||||||||||||||||||||||||||||||||||
Targets21 Target share5% Catch %71% Yds / rec10.0 Season: 15 rec · 150 yds · red-zone targets 2 (4% of team)
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How to read the board
- Player & Matchup — each pass-catcher on one row, with team, opponent, and kickoff under the name. Tap the row for his target share, catch rate, yards per reception, red-zone targets, and game log.
- Pos — WR, TE, or RB, so you can tell a perimeter receiver from a slot tight end or a receiving back at a glance.
- Line — the receiving yards number you’re betting over or under, reflecting the de-vigged consensus across books.
- Best Over / Best Under — the top available price on each side, with the sportsbook offering it. “Best over” is the lowest available line (easiest to clear); “best under” is the highest. Tap to go straight to that market.
- DFS — the daily-fantasy projection (PrizePicks / Underdog) where posted, for a second reference point on the number.
How to bet NFL receiving yards props
Receiving yardage is an opportunity market first and a talent market second. A receiver who’s going to see 9 targets has a real floor even on an off day; a boom-or-bust deep threat can post a goose egg or a 120-yard line-wrecker. The questions that move these lines:
Target share and volume. Start here. The share of team targets a receiver commands is the engine of his yardage — it’s the receiving equivalent of a running back’s carry count. A true alpha at 28%+ of targets has a high floor; a rotational piece splitting looks does not. The board’s drawer shows each player’s target share so you’re betting volume, not name recognition.
Air yards and route depth. Where a receiver is targeted shapes his range as much as how often. A possession slot receiver catching passes at the line has a steady, lower-variance line; a field-stretcher with a deep average depth of target is boom-or-bust — his over hits big or misses badly. Match the bet to the profile: overs on deep threats are higher-variance swings, not floor plays.
Coverage matchup. How the defense lines up matters. A shadow corner who travels with the No. 1 receiver can cap a star’s ceiling all game, while the slot receiver quietly avoids the other team’s best cover man. Tight ends are often defended by linebackers and safeties, so a defense soft over the middle is a TE-over spot. Read the matchup, not just the defense’s overall rank.
Quarterback play. A receiver is only as good as the arm throwing to him. A quarterback downgrade — injury, benching, a rookie’s first start — pulls down the whole receiving corps. When the QB situation changes, every pass-catcher’s line is in play.
Game script and pace. Trailing teams throw more, funneling targets to their receivers; a fast, high-total game lifts everyone’s volume. But mind the blowout risk both ways — a lopsided game can mean garbage-time targets or an early benching.
Target redistribution. This is where receiving value hides. When a team’s WR1 or a target-hog tight end is ruled out, those looks don’t vanish — they funnel to the next man up, often before the market fully prices it. A clear beneficiary of an injury upstream is one of the best over profiles in props.
Then shop. Once you’ve picked a side, the best-price column is doing the work most bettors skip. Take the number, not the brand.
The stats that actually predict receiving yards
The board’s drawer surfaces four reads that matter more than a player’s name:
- Target share — his percentage of the team’s targets. The single best proxy for opportunity, and opportunity is what a floor is built on.
- Catch rate — receptions per target. High catch rates point to a reliable, schemed-open role; low catch rates flag a volatile downfield profile.
- Yards per reception — efficiency and route depth in one number. A high figure means big-play juice (and variance); a low one means a steady, short-area role.
- Red-zone targets — touchdown equity. Less about yards directly, but red-zone role signals how central a receiver is to the offense’s scoring plans.
Put together, they separate a volume over (steady floor) from a ceiling over (needs a big play). Bet accordingly.
What counts as a “good” receiving line
A “good” line is one that’s mispriced against the receiver’s true range — not just a low number. Two tells the board makes easy:
- Best price vs. the market. When a book’s best over or under beats the consensus, you’re getting a number the market itself calls generous. That gap is your edge, free if you’re already shopping across the board.
- Line dispersion. When books disagree on the number — one posts 54.5, another 57.5 — there’s a half-point (or three) to buy on the better side. The board shows the best number on each side so the spread is visible at a glance.
Frequently Asked Questions
When do sportsbooks post NFL receiving yards props? Most books post receiving props 24–48 hours before kickoff, with pricing firming up as game day nears. Daily-fantasy platforms often post projections earlier in the week. The board fills in automatically as lines go live, so a thin or empty slate usually just means the books haven’t posted yet.
What is target share, and why does it matter for receiving props? Target share is the percentage of his team’s total targets a receiver sees. It’s the best single measure of opportunity, and receiving yards are driven by opportunity more than raw talent — a high target share means a high floor regardless of a single game’s efficiency. The board’s drawer shows each player’s target share so you can bet volume, not name value.
Which sportsbook has the best receiving yards odds? It changes by player and by day — no single book is always best. That’s the point of the board’s best-over and best-under columns: they surface the top available price on each side so you can bet the number instead of defaulting to one app.
How do coverage matchups affect receiving yards props? A lot. A shadow cornerback who travels with a No. 1 receiver can cap his ceiling all game, while a slot receiver or tight end may draw a far softer assignment on the same defense. That’s why matchup beats overall defensive rank — read who is covering whom, not just how the defense ranks.
How do I find a specific player’s receiving yards prop? Use the game filter to narrow to a matchup, or scan the player column — every pass-catcher with a posted receiving prop appears as his own row, with his line, best prices, position, and receiving profile when you tap in.
21+. Please gamble responsibly. If you or someone you know has a gambling problem, call 1-800-GAMBLER. Odds and lines are subject to change; always confirm the current price at your sportsbook before betting.
Lines and best-price data are aggregated across sportsbooks and refreshed throughout the day. CLEATZ provides information and analysis, not betting advice.
Jason Ziernicki is the founder of CLEATZ, where he analyzes sports betting data, public betting percentages, alt-line trends, and prediction markets across the NFL, NBA, MLB, and college sports.
He is based in Jackson Hole, Wyoming, where he routinely trades on Kalshi each month, hoping to win on weather markets like snowfall, as well as sports and politics.
His work focuses on turning sportsbook data and betting market trends into actionable insights for bettors/traders.