NFL Week 7
THU · 7:15 PM
NE50.54-2
CHI-34-2
SUN · 8:30 AM
PIT-3.54-2
NO44.52-4
SUN · 12:00 PM
CIN-1.53-2
BAL48.54-2
SUN · 12:00 PM
CLE-1.54-2
TEN37.51-5
SUN · 12:00 PM
IND41.52-4
MIN-6.55-0
SUN · 12:00 PM
MIA39.50-5
NYJ-4.52-4
SUN · 12:00 PM1 Pick
NYG42.53-2-1
HOU-10.52-4
SUN · 12:00 PM2 Picks
SF-36-0
ATL49.52-4
SUN · 12:00 PM
TB44.51-5
CAR-33-2
SUN · 3:05 PM
DEN-4.54-2
ARI43.52-4
SUN · 3:25 PM1 Pick
GB53.54-2
DET-33-2
SUN · 3:25 PM
LA-4.52-4
LV48.53-3
SUN · 7:20 PM
KC42.55-0
SEA-2.53-3
MON · 7:15 PM
DAL-4.52-4
PHI44.52-4
← Models / WR Model

How the WR Model Works

What you're looking at

Each week our model projects a receiving-yards and receptions line for every team's WR1 and WR2 (plus other receivers who play at least 40% of snaps). "Our Line" is the model's median projection rounded to the nearest half point; "Range" is its 25th–75th percentile band.

The model

A LightGBM quantile ensemble trained on 2021-present player-game data: target and air-yards share, snap rates, depth-chart role, injuries, team pass-rate-over-expected and pace, opponent pass-defense EPA and pressure, Vegas totals/spreads, and Next Gen Stats separation metrics. The five quantile predictions form a full probability curve, so any sportsbook line can be priced as a calibrated P(over).

Edges and flags

"Book" is the sportsbook line we evaluated (Hard Rock when it posts one). "P(Over)" is the model's calibrated probability the player clears that line. "Edge" compares that to the de-vigged sharp-market consensus (Pinnacle preferred). The ⚑ flag marks plays where the edge is at least 4 points AND the sharp market leans the same way against Hard Rock's price.

Grading

After games finish, every prediction is graded against the evaluated line, and flagged edges get closing-line-value (CLV) tracking — how much the market moved toward or away from our number by kickoff, in probability terms. The performance strip shows the last four graded weeks.

Receiving Yards Receptions WR1/WR2 only
Flagged edges (last 4 graded wks)8-5
Hit rate61.5%
Mean CLV+2.59 pts
Player Team Opp Our Line Range (q25–q75) Book Book Line P(Over) Edge ⚑
Matthew Golden WR1 GB DET 4.5 3–6.1 hardrockbet 4.5 51.1% -6.3 pts
A.J. Brown WR1 NE CHI 4.5 2.5–5.7 hardrockbet 4.5 51.1% -6.1 pts
Amon-Ra St. Brown WR1 DET GB 6.0 4.2–7.1 hardrockbet 7.5 42.8% -5.2 pts
Chris Olave WR1 NO PIT 6.0 4.3–7.5 hardrockbet 5.5 52.3% -4.3 pts
Jaxon Smith-Njigba WR1 SEA KC 6.5 4.6–8 hardrockbet 6.5 51.1% -2.9 pts
Luther Burden III WR1 CHI NE 4.5 2.8–5.9 hardrockbet 4.5 51.1% -1.8 pts
DK Metcalf WR1 PIT NO 4.5 2.8–6.7 hardrockbet 4.5 51.1% -1.2 pts
Keenan Allen WR1 IND MIN 4.0 2.4–5.4 — — — —
Mike Evans WR1 SF ATL 4.0 3–5.3 — — — —
Justin Jefferson WR1 MIN IND 4.5 3.2–6.2 — — — —
CeeDee Lamb WR1 DAL PHI 6.0 4.3–7.1 — — — —
Nico Collins WR1 HOU NYG 4.0 3.2–6.1 — — — —
Jaylen Waddle WR1 DEN ARI 3.5 2.4–4.5 — — — —
Ja'Marr Chase WR1 CIN BAL 5.5 3.6–7.6 — — — —
DeVonta Smith WR1 PHI DAL 4.5 3.4–6.2 — — — —
Drake London WR1 ATL SF 4.5 3.2–6.5 — — — —
Garrett Wilson WR1 NYJ MIA 4.5 3.1–5.9 — — — —
Michael Wilson WR1 ARI DEN 5.0 3–6.7 — — — —
Tre Tucker WR1 LV LA 3.5 2.2–4.9 — — — —
Zay Flowers WR1 BAL CIN 6.0 3.9–7.5 — — — —
Rashee Rice WR1 KC SEA 4.5 3–7 — — — —
Puka Nacua WR1 LA LV 6.0 4.2–7.4 — — — —
Malik Nabers WR1 NYG HOU 5.0 3.6–6.3 — — — —
Malik Washington WR1 MIA NYJ 4.0 2.8–5.8 — — — —
Tetairoa McMillan WR1 CAR TB 5.0 3.1–5.9 — — — —
Emeka Egbuka WR1 TB CAR 4.0 2.6–5.5 — — — —
Carnell Tate WR1 TEN CLE 4.5 2.8–6.1 — — — —
KC Concepcion WR1 CLE TEN 3.5 2.3–4.5 — — — —
Germie Bernard WR2 PIT NO 4.0 2.2–5.3 hardrockbet 4.5 42.9% -13.7 pts ⚑
Jameson Williams WR2 DET GB 3.0 1.8–4.6 hardrockbet 3.5 42.9% -10.2 pts
Christian Watson WR2 GB DET 4.5 3.1–6.1 hardrockbet 4.5 51.1% +7.8 pts
Cooper Kupp WR2 SEA KC 2.0 1.5–4 hardrockbet 2.5 50.5% +6.1 pts
Rome Odunze WR2 CHI NE 3.0 1.7–4.3 hardrockbet 3.5 45.2% +1.9 pts
Devaughn Vele WR2 NO PIT 4.0 2.5–5.5 hardrockbet 4.5 42.9% +1.3 pts
Davante Adams WR2 LA LV 3.5 2.6–6 — — — —
Tyreek Hill WR2 MIA NYJ 3.0 2.3–5.4 — — — —
Kendrick Bourne WR2 ARI DEN 2.5 1.1–4 — — — —
Mack Hollins WR2 NE CHI 3.0 1.8–4.6 — — — —
Courtland Sutton WR2 DEN ARI 2.5 1.2–3.7 — — — —
Darius Slayton WR2 NYG HOU 1.5 0.8–2.5 — — — —
Brandon Aiyuk WR2 SF ATL 2.0 1.8–3.4 — — — —
Tee Higgins WR2 CIN BAL 4.0 2.7–6 — — — —
Rashod Bateman WR2 BAL CIN 2.0 1.2–3.5 — — — —
George Pickens WR2 DAL PHI 4.5 2.9–5.8 — — — —
Jahan Dotson WR2 ATL SF 2.0 1.1–3.3 — — — —
Wan'Dale Robinson WR2 TEN CLE 4.5 2.6–5.9 — — — —
Tank Dell WR2 HOU NYG 2.0 1.3–2.9 — — — —
Jordan Addison WR2 MIN IND 3.0 1.1–4.3 — — — —
Josh Downs WR2 IND MIN 3.0 2.2–4.4 — — — —
Jalen Coker WR2 CAR TB 4.5 3–6 — — — —
Adonai Mitchell WR2 NYJ MIA 3.5 2.4–4.5 — — — —
Xavier Worthy WR2 KC SEA 3.5 1.6–4.4 — — — —
Makai Lemon WR2 PHI DAL 2.5 1.5–3.9 — — — —
Denzel Boston WR2 CLE TEN 3.5 1.8–4.6 — — — —
Methodology. A LightGBM quantile model (q10–q90) trained on nflverse player-game data since 2021 projects each receiver's yardage and receptions distribution from role (target/air-yards share, snaps, depth chart, injuries), team tendencies (pass rate over expected, pace), opponent pass defense (EPA, pressure), and game environment (Vegas totals, spread, venue). Quantiles become a full probability curve, calibrated against three seasons of real closing lines, so P(over) is priced for the actual book line. Edges compare our probability to the de-vigged sharp market; validation is strictly walk-forward (the model never sees the week it predicts). Predictions freeze when published and grade automatically after games — history and CLV are tracked on every flagged edge.